594 Analytics Manager jobs in Canada

Technical Responsibilities

Oversee the collection, storage, and analysis of data, ensuring data integrity and accuracy.

Develop and maintain data models, databases, and data pipelines to support business needs.

Implement data warehousing solutions and integrate various data sources.

Perform complex data analysis and provide actionable insights to stakeholders.

Utilize statistical and machine learning models to predict trends and inform decision-making.

Managerial Responsibilities

Lead and manage a team of data analysts, data engineers, and data scientists.

Coordinate with cross-functional teams to ensure data-driven project alignment.

Set clear team goals and provide regular performance feedback.

Foster a collaborative and inclusive team environment.

Identify and address skill gaps through training and development.

Leadership Responsibilities

Drive a data-centric culture within the organization.

Champion the importance of data quality and governance.

Communicate data strategies and outcomes to senior leadership and stakeholders.

Stay abreast of industry trends and advancements in data analytics and reporting.

Mentor junior team members and promote professional growth.

Tools and Systems

Proficiency in data visualization tools such as Tableau, Power BI, or Looker.

Experience with SQL and NoSQL databases like MySQL, PostgreSQL, MongoDB, etc.

Familiarity with big data technologies such as Hadoop, Spark, or Kafka.

Knowledge of ETL tools like Talend, Informatica, or Apache Nifi.

Hands-on experience with programming languages such as Python, R, or Scala.

Project Management Responsibilities

Develop and manage project plans, timelines, and budgets.

Ensure project deliverables meet quality standards and business requirements.

Communicate project status, risks, and issues to stakeholders.

Facilitate project meetings, workshops, and presentations.

Utilize project management tools like JIRA, Asana, or Trello.

Administrative Function Accountabilities

Maintain documentation of data processes, standards, and best practices.

Manage data access and security protocols.

Ensure compliance with relevant data protection regulations.

Coordinate with IT teams to support data infrastructure needs.

Track and report on key performance indicators (KPIs) for data projects.

Job Description-

Position- Omnichannel / Digital Analytics Manager

Location- Canada ( Remote )

Roles and Responsibilities:

• Delivery :
• Partner with analysts to deliver Omnichannel reporting and insights, with a specific focus on digital channels and actionable insights to inform tactical optimizations and strategic planning
• Develop and refine measurement frameworks by translating brand level omnichannel objectives into measurable KPIs. Ability to capture brand, campaign and tactical nuances while also ensuring alignment and consistency in measurement across brands and business units is critical
• Lead Omnichannel dashboard enhancements and on-going maintenance – ensure dashboard meets brand specific requirements while also maintaining consistency across brands & BUs, gather and translate enhancement requirements from client, leverage AI to automate dashboard operations and insights generation to drive both efficiency & effectiveness
• Deliver actionable monthly and quarterly omnichannel performance reports focused on highlighting trends and insights to clients in a compelling manner that drives campaign optimization
• Recommend experiments & a/b tests that address key business challenges and questions
• Support client stakeholders in collaborating with media agencies and AORs to define measurement plans, align on optimizations, resolve data discrepancies and pull through tactical recommendations & a/b tests
• Ensure all activities are conducted in compliance with client’s procedures & regulations with appropriate documentation and approvals
• Client Relationship :
• Build and maintain strong relationships with key stakeholders within pharmaceutical client organizations. Become a trusted partner for Omnichannel Analytics by proactively setting expectations and addressing challenges
• Understand client’s business objectives and ensure monthly reporting, dashboards, adhoc analysis align to these objectives and address their key business questions
• Challenge conventional approaches when appropriate and actively share relevant POVs on relevant industry trends, new solutions, and best practices
• Team Leadership and Project Management :
• Lead a team of analysts and consultants, providing guidance, coaching, and mentorship to drive high performance and professional development.
• Build and implement internal digital education training programs to enable analysts to effectively execute digital and omnichannel engagements
• Coordinate cross-functional efforts within the team and across departments to address complex client challenges effectively.

Required Skills:

• 8+ Years of relevant professional experience
• 3+Years of Digital Analytics and Insights Experience
• 3+ Years of Life Sciences / Pharma experience
• 1+ Years of managing teams
• Strong understanding of paid media strategies, tactics, measurement and data. Media agency experience is a plus
• Experience analyzing website performance and making recommendations to optimize performance. UI/UX optimization experience is an added bonus

Must have:

• Experience translating digital marketing goals into measurable KPIs and metrics
• Understanding of the underlying business rules and nuances of processing digital data to align with KPI/metric definitions
• Expertise in developing & delivering monthly digital marketing or omnichannel reporting that effectively communicates performance trends while also identifying optimization opportunities
• Proven track record of successfully managing client relationships and delivering impactful digital analytics solutions to drive business outcomes
• Excellent communication and presentation skills, with the ability to communicate complex concepts to both technical and non-technical audiences effectively.
• Proven ability to frame a business issue, design the right solution, and deliver results.
• Google Analytics and/or Adobe Analytics Experience
• Understanding of Media Platforms & Data such as MCI/Datorama, PLD/NPI Activity Data, DCM, SA360, HCP365, AIMXR, Meta, LinkedIn, TikTok
• Proficient with Power BI and Co-pilot
• Comfortable with CRM platforms such as Veeva and SFMC

Overview
At KPMG, you'll join a team of diverse and dedicated problem solvers, connected by a common cause turning insight into opportunity for clients and communities around the world.

Our Vancouver team are looking for a highly motivated Data and Analytics Solution Architect at a Manager level to join our team As a member of KPMG Canada's Lighthouse team, you will be dedicated to enabling and optimizing our clients' cloud functionality across our data, analytics, and software solutions. This role will be a rewarding experience for you if you

• Thrive on challenges and work best in a fast-paced environment where each day is different.
• Work well in a project team environment and have strong collaboration and interpersonal skills.
• Have a natural "figure it out" mindset.

Innovate. Collaborate. Shine. Lighthouse - KPMG Canada's Center of Excellence for data advanced analytics and AI — applies data engineering, data science, AI/ML and software development expertise to architect data and analytics solution to solve real-word business problems, operationalize AI and optimize emerging technologies for its mission. Join a diverse team which is always curious and learning, thinking independently, working collaboratively, has a passion to solve difficult problems, and has fun doing it.

What You Will Do
As a manager, you'll lead and work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to

• Work with cross functional engagement teams to translate business and analytics requirements into a data, analytics and AI strategy and requirement for the engagement
• Architect and develop overall end-to-end design of data and analytics solutions across Data Lakes, Data Warehouses, Data Lakehouses, pipelines on modern data platforms such as Microsoft Fabric, Databricks and Snowflake (with a focus on the first two) on Azure, AWS and GCP (with a focus on the first) and lead the deployment and delivery of the solution
• Enforce technical architecture and documentation standards, policies, and procedures
• Analyze, implement, and resolve issues with existing modern data platforms
• Provide mentorship to a team of data engineers, software developers, and data scientists with a focus is on modern data analytics platform
• Lead the team to assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data, analytics and AI-related technical issues and support their data analytics infrastructure needs
• Perform data management tasks, including data architecture design and data modeling, master data/metadata/data security/privacy/data quality management, data operations, data integration and interoperability
• Develop standards for data processes and automate routine tasks
• Run queries for descriptive analytics and provide formatted result sets
• Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
• Take ownership of projects and pushing technological boundaries
• Presales, estimating and proposal writing, responding to RFPs
• Assist in scoping, estimation, and task planning for assigned projects
• Remaining up to date in new and emerging technologies

What You Bring To The Role
We will look to you to bring a blend of knowledge, training, and experience, including

• 6+ years of experience in data engineering, analytics, and AI (data/data platform architecture, design, implementation, and/or support of complex data and application architectures that are scalable and repeatable) ideally within a services/consulting organization
• Expertise in leading and mentoring team members toward developmental objectives and resilience to overcome challenges or setbacks to achieve team, project, and client goals
• Expertise in relational and non-relational databases, including query language (SQL);
• Expertise in building and optimizing data pipelines, architectures and data models for all data types, speed, and sizes
• Expertise in performing root cause analysis on internal and external data; processes to answer specific business questions and identify opportunities for improvement
• Expertise in building standards, processes supporting data, data transformation, data structures, metadata, dependency, and workload management
• A successful history of manipulating, processing, and extracting value from large discrete datasets
• Working knowledge of message queuing, stream processing, parallel processing, and data lakes
• Expertise in deploying and maintaining high performance computing VMs in on-premises and cloud environment

• Experience using a combination of industry relevant software/tools including some of the following

• Modern Data Analytics Platforms Microsoft Fabric, Synapse, Databricks, Snowflake

• Big data tools Hadoop, Spark, Kafka, etc.
• Relational SQL and NoSQL databases, including MS SQL Server, PostgreSQL, and Cosmos DB
• Data pipeline and workflow management tools Azkaban, Luigi, Airflow, etc.
• Azure, AWS and GCP cloud data services
• Stream-processing systems Spark-Streaming, Azure Event Hubs, etc.
• Object-oriented/object function scripting languages Python, Java, C++, Scala, etc.

Desired Experience, Certifications, And Abilities

• Relevant post-secondary education in a related field
• Azure Certifications Azure Data Engineer Associate, Azure Solutions Architect Expert
• Databricks Certifications Databricks Certified Data Engineer Associate, Databricks Certified Professional Data Engineer
• Experience in analytics, statistics, data mining, machine learning, natural language processing and/or mathematics is an asset
• Experience in visualization, visualization related technology (Tableau, PowerBI, D3, plotyldash, ) and data modeling within these tools is an asset

What makes you stand out

• You have fine-tuned your leadership skills and are comfortable leading diverse teams, overseeing a variety of engagements, as well as managing and coordinating expectations of stakeholders
• You see the big picture both as a consultant and as an internal contributor. You are motivated to create solutions that are practical and cost-effective solutions that are relevant to your clients' objectives and challenges
• You have developed a reputation as a knowledgeable professional in your area, possess a solution orientated and analytical mindset, and enjoy guiding others through complex and at times ambiguous challenges
• You're a self-starter that takes initiative to constantly improve your skillset and contribute to the overall performance and success of the practice
• You are an exceptional communicator, both verbally and written, with the ability to deliver professional communications, presentations, reports, and documentation
• You have developed a strong professional brand and presence in the community and enjoy contributing to and participating in events

KPMG BC Region Pay Range Information
The expected base salary range for this position is $93,000 to $155,000 and may be eligible for bonus awards. The determination of an applicant's base salary within this range is based on the individual's location, skills, & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best
Our Values, The KPMG Way
Integrity
, we do what is right |
Excellence
, we never stop learning and improving |
Courage
, we think and act boldly |
Together
, we respect each other and draw strength from our differences |
For Better
, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process
At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG's Employee Relations Service team by calling

Overview

At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

Our Vancouver team are looking for a highly motivated Data and Analytics Solution Architect at a Manager level to join our team! As a member of KPMG Canada’s Lighthouse team, you will be dedicated to enabling and optimizing our clients' cloud functionality across our data, analytics, and software solutions. This role will be a rewarding experience for you if you:
Thrive on challenges and work best in a fast-paced environment where each day is different.
Work well in a project team environment and have strong collaboration and interpersonal skills.
Have a natural “figure it out” mindset.
Innovate. Collaborate. Shine. Lighthouse – KPMG Canada’s Center of Excellence for data advanced analytics and AI — applies data engineering, data science, AI/ML and software development expertise to architect data and analytics solution to solve real-word business problems, operationalize AI and optimize emerging technologies for its mission. Join a diverse team which is always curious and learning, thinking independently, working collaboratively, has a passion to solve difficult problems, and has fun doing it.

What you will do

As a manager, you’ll lead and work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to:
Work with cross functional engagement teams to translate business and analytics requirements into a data, analytics and AI strategy and requirement for the engagement
Architect and develop overall end-to-end design of data and analytics solutions across Data Lakes, Data Warehouses, Data Lakehouses, pipelines on modern data platforms such as Microsoft Fabric, Databricks and Snowflake (with a focus on the first two) on Azure, AWS and GCP (with a focus on the first) and lead the deployment and delivery of the solution
Enforce technical architecture and documentation standards, policies, and procedures
Analyze, implement, and resolve issues with existing modern data platforms
Provide mentorship to a team of data engineers, software developers, and data scientists with a focus is on modern data analytics platform
Lead the team to assemble large, complex data sets that meet functional / non-functional business requirements
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data, analytics and AI-related technical issues and support their data analytics infrastructure needs
Perform data management tasks, including data architecture design and data modeling, master data/metadata/data security/privacy/data quality management, data operations, data integration and interoperability
Develop standards for data processes and automate routine tasks
Run queries for descriptive analytics and provide formatted result sets
Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
Take ownership of projects and pushing technological boundaries
Presales, estimating and proposal writing, responding to RFPs
Assist in scoping, estimation, and task planning for assigned projects
Remaining up to date in new and emerging technologies

What you bring to the role

We will look to you to bring a blend of knowledge, training, and experience, including:

6+ years of experience in data engineering, analytics, and AI (data/data platform architecture, design, implementation, and/or support of complex data and application architectures that are scalable and repeatable) ideally within a services/consulting organization
Expertise in leading and mentoring team members toward developmental objectives and resilience to overcome challenges or setbacks to achieve team, project, and client goals
Expertise in relational and non-relational databases, including query language (SQL);
Expertise in building and optimizing data pipelines, architectures and data models for all data types, speed, and sizes
Expertise in performing root cause analysis on internal and external data; processes to answer specific business questions and identify opportunities for improvement
Expertise in building standards, processes supporting data, data transformation, data structures, metadata, dependency, and workload management
A successful history of manipulating, processing, and extracting value from large discrete datasets
Working knowledge of message queuing, stream processing, parallel processing, and data lakes
Expertise in deploying and maintaining high performance computing VMs in on-premises and cloud environment
Experience using a combination of industry relevant software/tools including some of the following:
Modern Data Analytics Platforms: Microsoft Fabric, Synapse, Databricks, Snowflake
Big data tools: Hadoop, Spark, Kafka, etc.
Relational SQL and NoSQL databases, including MS SQL Server, PostgreSQL, and Cosmos DB
Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Azure, AWS and GCP cloud data services
Stream-processing systems: Spark-Streaming, Azure Event Hubs, etc.
Object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
Desired experience, certifications, and abilities:
Relevant post-secondary education in a related field
Azure Certifications: Azure Data Engineer Associate, Azure Solutions Architect Expert
Databricks Certifications: Databricks Certified Data Engineer Associate, Databricks Certified Professional Data Engineer
Experience in analytics, statistics, data mining, machine learning, natural language processing and/or mathematics is an asset
Experience in visualization, visualization related technology (Tableau, PowerBI, D3, plotyldash, plotly.js) and data modeling within these tools is an asset

What makes you stand out:
You have fine-tuned your leadership skills and are comfortable leading diverse teams, overseeing a variety of engagements, as well as managing and coordinating expectations of stakeholders
You see the big picture both as a consultant and as an internal contributor. You are motivated to create solutions that are practical and cost-effective solutions that are relevant to your clients’ objectives and challenges
You have developed a reputation as a knowledgeable professional in your area, possess a solution orientated and analytical mindset, and enjoy guiding others through complex and at times ambiguous challenges
You’re a self-starter that takes initiative to constantly improve your skillset and contribute to the overall performance and success of the practice
You are an exceptional communicator, both verbally and written, with the ability to deliver professional communications, presentations, reports, and documentation
You have developed a strong professional brand and presence in the community and enjoy contributing to and participating in events

KPMG BC Region Pay Range Information
The expected base salary range for this position is $93,000 to $155,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills, & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.
#LI-Hybrid
Providing you with the support you need to be at your best

Our Values, The KPMG Way

Integrity , we do what is right | Excellence , we never stop learning and improving | Courage , we think and act boldly | Together , we respect each other and draw strength from our differences | For Better , we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling .

Job Description

Company Description

Vention helps some of the most innovative manufacturing companies automate their production floor in just a few days. Vention's manufacturing automation platform (MAP)  enables its clients to design, automate, order, and deploy manufacturing equipment directly from their web browser. Vention is headquartered in Montreal, Canada, with offices in Berlin and Boston, and is used in over 3,000 factories on 5 continents.

As one of Canada’s Most Admired Cultures we are a performance driven culture that cares deeply about our employees well being. We set ambitious goals, rely on data, and thrive on healthy debate. But we also know sustainable performance comes from a caring and uplifting environment. Both sides of our culture fuel each other—and we protect them equally.  Our values & principles include:

• We make our clients successful - we do what’s right for our customers, even when it makes our roles more challenging.
• We execute and deliver - we set ambitious goals for ourselves and are energized about meeting them.
• We debate, then commit - we challenge our own perspectives and ideas in pursuit of the best solutions.
• We innovate to inspire - we value innovation in products, user experiences, and business practices.
• We collaborate to achieve more - we work as one team to achieve more than we would on our own.
• We empower our people to reach their full potential - we hold ourselves to high standards but know when to celebrate progress & achievements

As the Manager of Data Science and Analytics, you will lead and build a small but growing team responsible for transforming Vention’s rich data into insights that directly impact strategic decisions across the company. You’ll get your hands dirty applying data science techniques to solve high-impact problems in operations, growth, product, and customer experience - all while helping establish the data vision and infrastructure that scales with our business.

This is a unique opportunity for a strong leader and active contributor who thrives in a high-autonomy, high-impact role and is excited about growing the data function from the ground up. Today, you’ll manage one data analyst and work hands-on with engineering and business teams. Tomorrow, you’ll be scoping and leading an expanded team to meet the growing needs of the business.

This role is mission-critical to how we scale and compete. With access to a gold mine of high-value data, you’ll be instrumental in shaping strategy across the company. If you’re passionate about using data to solve real-world problems at the intersection of AI and advanced manufacturing, this is your opportunity.

What You’ll Do:

Leadership and Stakeholder Collaboration

• Manage, mentor, and grow a high-performing data team, while contributing directly to analytics and data science initiatives. Promote best practices in data management and modeling.
• Partner with business leaders to understand critical data needs, define priorities, and ensure alignment between analytics initiatives and strategic goals.
• Own the analytics roadmap and sprint planning processes. Balance quick wins with long-term capability building in line with evolving business needs.

Analytics & Insight Generation

• Drive complex data modelling and advanced analytics initiatives (including statistical modelling, forecasting, and clustering) to identify trends, optimize performance and drive growth.
• Lead the development of data visualization strategies, dashboards, and KPIs that deliver actionable insights and drive strategic business decisions. 
• Translate complex analytics into actionable recommendations for executive leadership and key stakeholders.

Data Infrastructure & Governance

• Own the development, reliability, and scalability of the company’s data infrastructure, including the data warehouse, ETL/ELT pipelines, and source system integrations.
• Ensure data accuracy and consistency while adhering to compliance and governance standards.
• Maintain documentation for data architecture, processes, and analytics methodologies.

What You Bring to the Table:

• 5–7 years of hands-on experience in data science or analytics, with a proven ability to lead projects, manage teams and influence business decisions.
• Bachelor’s degree in Engineering, Computer Science, Data Science, Business ANalytics  Mathematics, Statistics, or a related field
• Strong technical foundation with proficiency in Python, SQL and BI tools (i.e. Power BI/Looker).
• Proven experience with data warehousing concepts, ETL processes, and data modelling techniques (i.e. Snowflake, Airbyte, AWS)
• Deep knowledge of statistical techniques, regression modeling, and machine learning methods (e.g., clustering, decision trees, neural networks).
• Excellent communication and collaboration skills, with a passion for translating data into actionable insights for non-technical stakeholders. Bilingual (English/French) is a strong asset.
• Curious, entrepreneurial, and hands-on — driven to build data capabilities from the ground up.

How We Take Care of You

• Flexible paid time off. 
• Global comprehensive health plans so you feel your best.
• Complimentary beverages and snacks so that you are fuelled and ready for your day.
• Career growth opportunities. Your future matters.
• Fun-filled social events curated based on diverse interests for our team to celebrate together. From sponsored sports teams to trivia nights.
• Time off to volunteer and give back to your community.

What to Expect in Your Interview

• Initial Call
• Team interview
• Challenge 
• Final Interview
• Decision & Offer

️Commitment to Equal Employment Opportunity

Our culture is built for high achievers who thrive in fast-paced, high-impact environments. At Vention, you'll have the chance to shape products, processes, and strategies that leave a lasting impression.

When you join Vention, you join a team of professionals with a diverse variety of experiences, backgrounds, and perspectives. We’re committed to fostering a supportive, inclusive workplace where collaboration fuels extraordinary outcomes - and where strong, lasting relationships are built through shared drive and passion. We’re passionate about helping you do your best work. Claim your seat and find out what you can do!

If you require any accommodations during the interview process, let us know - we are happy to support you.

Not sure if your experience checks every box? That’s okay - apply anyway. We’d love to get to know you and share more about the role. 

Date limite pour présenter sa candidature :
10/09/2025

Adresse :
100 King Street West

Groupe de famille d'emploi :
Analyses des données et communication de l'information

Keys for the role:
Power BI Data Analytics preferred
SQL
Power Automate, Power App
Microsoft Copilot
Excel
Understanding of financial products, knowledge or Capital Markets experience, preferable .
Will consider strong Data Science experience with some visualization.

The Analytics & Reporting group is accountable for continuous improvement of the analytics and reporting process across Capital Markets and International Operations. The group requires specialized business and valuation skills.

The Manager will report to Director of the group and will assist in the digitalization of the reporting process using Power BI and will also assist in developing the Robotics Process Automation and AI program for the Capital Markets and International Operations.

This is an exciting opportunity for a Data Scientist who is looking to enhance their data visualization skill, building out solutions to bring value to the existing data and analytics and becoming RPA champion.

The Manager Analytics and Reporting consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.
Acts as a trusted advisor to assigned business/group.
Leads the design, development, and implementation of analytic solutions.
Identifies emerging issues and trends to inform decision-making.
Recommends and implements solutions based on analysis of issues and implications for the business
Ensures alignment between stakeholders about business needs and data needs.
Ensures alignment between stakeholders about business needs and data needs.
Leads/participates in the design, implementation and management of new analytics & reporting solutions.
Designs, develops, and implements innovative analytical solutions.
Designs and produces regular and ad-hoc reports, and dashboards.
Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
Cleanses, manipulates, and transforms data through programming / scripting for model training and validation.
Automates validation tests to improve quality and efficiency of the validation process.
Validates and tests models used in analytics and reporting to assess/address performance and compliance.
Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
Promotes reporting automation, self-serve analytics consumption, and the culture of analytics-driven decision making.
Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
Designs, develops, and implements innovative analytical solutions.
Designs and produces regular and ad-hoc reports, and dashboards.
Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
Analyzes data and information to provide subject-matter insights and recommendations.
Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
Documents and maintain operational procedures and processes relating to analytical and reporting processes.
Builds effective relationships with internal/external stakeholders.
Collaborates with internal and external stakeholders in order to deliver on business objectives.
Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
Provides specialized consulting, analytical and technical support.
Exercises judgment to identify, diagnose, and solve problems within given rules.
Works independently and regularly handles non-routine situations.
Broader work or accountabilities may be assigned as needed.
Qualifications:
Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
University degree in business/commerce, data sciences, engineering, finance, mathematics or equivalent degree
Advanced knowledge and understanding of key financial products and P&L related processes.
Strong proficiency with Excel, programming knowledge in VBA and SQL, and experience with database maintenance and navigation
Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Power BI, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - In-depth.
Knowledge and experience in RPA and Microsoft Copilot
Deep knowledge and technical proficiency gained through extensive education and business experience.
Verbal & written communication skills - In-depth.
Collaboration & team skills - In-depth.
Analytical and problem solving skills - In-depth.
Influence skills - In-depth.
Data driven decision making - In-depth.

Salaire :
$69,000.00 - $129,000.00
Type de rémunération :
Salaire
Ce qui précède représente la fourchette et le type de rémunération de BMO Groupe financier.

Les salaires varieront en fonction de facteurs comme l’emplacement, les compétences, l’expérience, les études et les qualifications pour le poste et pourront inclure une structure de commissions. Les salaires pour les postes à temps partiel seront calculés au prorata du nombre d’heures travaillées régulièrement. Pour les rôles à commission, le salaire susmentionné représente la cible de BMO Groupe financier pour la première année au poste.

La rémunération totale offerte par BMO variera selon le type de rémunération associé au poste et peut comprendre des primes de rendement, des primes discrétionnaires ainsi que d’autres avantages et récompenses. BMO offre également une assurance santé, le remboursement des frais de scolarité, une assurance accident et une assurance vie, ainsi que des régimes d’épargne-retraite. Pour en savoir plus sur nos avantages sociaux, consultez le site :

À propos de nous

À BMO, nous sommes animés par une raison d’être commune : Avoir le cran de faire une différence dans la vie, comme en affaires. Cette raison d’être nous invite à entraîner des changements positifs et durables pour nos clients, nos collectivités et nos gens. En travaillant ensemble, en innovant et en repoussant les limites, nous transformons des vies et des entreprises et favorisons la croissance économique partout dans le monde.

En tant que membre de l'équipe de BMO, vous êtes valorisé, respecté et entendu, et vous avez plus de moyens pour progresser et obtenir des résultats. Nous nous efforçons de vous aider à obtenir des résultats dès le premier jour, pour vous-même et nos clients. Nous vous offrirons les outils et les ressources dont vous avez besoin pour franchir de nouvelles étapes, car vous aidez nos clients à franchir les leurs. Au moyen de formation et de coaching approfondis ainsi que de soutien de la direction et d'occasions de réseautage, nous vous aiderons à acquérir une expérience enrichissante et à élargir votre groupe de compétences.

Pour en savoir plus, visitez-nous à l'adresse .

BMO s'engage à offrir un milieu de travail inclusif, équitable et accessible. Nous apprenons de nos différences et tirons notre force des gens et de leurs différents points de vue. Des mesures d’adaptation sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection. Pour demander des mesures d’adaptation, veuillez communiquer avec votre recruteur.

Remarque aux recruteurs : BMO n’accepte pas les curriculum vitæ non sollicités provenant de toute source autre que le candidat directement. Tout curriculum vitæ non sollicité envoyé à BMO, directement ou indirectement, sera considéré comme la propriété de BMO. BMO ne paiera aucuns frais pour les placements découlant de la réception d’un curriculum vitæ non sollicité. Une agence de recrutement doit d’abord détenir une entente de service écrite valide et dûment signée avant d’envoyer des curriculum vitæ.

Job Description

Tucows (NASDAQ:TCX, TSX:TC) is possibly the biggest Internet company you've never heard of. We started as a simple shareware site in 1993 and have since grown into a stable of businesses: Tucows Domains, Ting Internet and Wavelo.

What's next at Tucows

We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It's also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet!

Today, over one thousand people work in over 20 countries to help us make the Internet better. If this sounds exciting to you, join the herd!

As the Manager of Financial Data, Planning & Analytics , you will be an integral part of the Tucows Corporate Finance team. This role is responsible for leading financial planning and analysis (FP&A) across all business segments while transforming and optimizing financial systems and reporting infrastructure.

You will oversee the annual budget and quarterly forecast processes, ensuring best practices across finance teams. As a key strategic partner, you will provide executive leadership with financial consultation, reporting, insights, and analysis. A strong emphasis is placed on efficiency, automation, and AI-driven integration to modernize workflows and enhance decision-making.

This is a remote position for applicants in Canada. Some travel to our headquarters in Toronto will be required.

• Lead and own the annual budgeting and planning cycle, ensuring coordination across all business unit finance teams.

• Maintain and improve forecasting processes, including quarterly forecasting and continuous planning methodologies.

• Develop long-term financial forecasts and models to support strategic decision-making.

• Drive modernization of financial systems and reporting infrastructure to enhance efficiency, automation, and AI-driven analytics.

• Oversee administration, optimization, and integration of financial systems (ERP, BI tools, planning software).

• Partner with IT and finance teams to implement AI-driven automation and machine learning for forecasting and decision-making.

• Assess and optimize financial processes and technology, ensuring scalability and automation opportunities.

• Develop and maintain management reporting, dashboards, and KPIs to track performance against budget, forecast, and prior periods.

• Prepare executive-level reports and dashboards, leveraging AI-powered insights and automated tools.

• Support Board and Audit Committee presentations, ensuring data accuracy and KPI tracking.

• Contribute financial insights to quarterly and annual management discussions and regulatory filings (e.g., 10K and 10Q).

• Act as a strategic finance business partner to corporate leadership, helping shape financial strategy and operational efficiency.

• Lead monthly variance analysis, collaborating with executives to identify and resolve budget discrepancies.

• Provide decision-support analysis for business initiatives and procurement decisions.

• Research broader economic trends and incorporate findings into financial models and forecasts.

• Experience in technology, SaaS, telecommunications, or other high-growth industries.

• Hands-on experience with AI-powered financial automation and finance system implementations.

• Strong understanding of data pipelines, API integrations, and cloud-based financial platforms.

• Subject matter expertise in FP&A best practices with a focus on continuous process improvement.

• Proven leadership with ability to balance business requirements and people management.

• Service-oriented mindset with strong stakeholder management skills.

• Excellent communication skills (oral, written, and visual) for presenting insights at all levels.

• Independent problem solver with strong research and information-gathering abilities.

• Advanced financial modeling and superior analytical skills with high accuracy and attention to detail.

• Bachelor's degree in Finance, Accounting, or related field (CPA or CFA preferred ).

• 6+ years of experience in financial planning, analysis, and financial systems transformation.

• 2+ years of management experience overseeing FP&A processes and teams.

• Strong proficiency in financial modeling, data analysis, and financial automation tools.

• Experience with ERP systems (e.g., Sage Intacct, NetSuite) and BI tools (e.g., Looker, Tableau, Power BI).

• Proven ability to automate processes, integrate AI-driven tools, and optimize financial reporting structures.

• Strong leadership and collaboration skills across finance and operational teams.

• Excellent communication skills with ability to present findings to executive leadership.

The base salary range for this position is $104,000 to $20,000. Range shown in CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits

Want to know more about what we stand for? At Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here.

#LI-JL1

#LI-Remote

Job Description

Tucows (NASDAQ:TCX, TSX:TC) is possibly the biggest Internet company you've never heard of. We started as a simple shareware site in 1993 and have since grown into a stable of businesses: Tucows Domains, Ting Internet and Wavelo.

What's next at Tucows

We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It's also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet!

Today, over one thousand people work in over 20 countries to help us make the Internet better. If this sounds exciting to you, join the herd!

As the Manager of Financial Data, Planning & Analytics , you will be an integral part of the Tucows Corporate Finance team. This role is responsible for leading financial planning and analysis (FP&A) across all business segments while transforming and optimizing financial systems and reporting infrastructure.

You will oversee the annual budget and quarterly forecast processes, ensuring best practices across finance teams. As a key strategic partner, you will provide executive leadership with financial consultation, reporting, insights, and analysis. A strong emphasis is placed on efficiency, automation, and AI-driven integration to modernize workflows and enhance decision-making.

This is a remote position for applicants in Canada. Some travel to our headquarters in Toronto will be required.

• Lead and own the annual budgeting and planning cycle, ensuring coordination across all business unit finance teams.

• Maintain and improve forecasting processes, including quarterly forecasting and continuous planning methodologies.

• Develop long-term financial forecasts and models to support strategic decision-making.

• Drive modernization of financial systems and reporting infrastructure to enhance efficiency, automation, and AI-driven analytics.

• Oversee administration, optimization, and integration of financial systems (ERP, BI tools, planning software).

• Partner with IT and finance teams to implement AI-driven automation and machine learning for forecasting and decision-making.

• Assess and optimize financial processes and technology, ensuring scalability and automation opportunities.

• Develop and maintain management reporting, dashboards, and KPIs to track performance against budget, forecast, and prior periods.

• Prepare executive-level reports and dashboards, leveraging AI-powered insights and automated tools.

• Support Board and Audit Committee presentations, ensuring data accuracy and KPI tracking.

• Contribute financial insights to quarterly and annual management discussions and regulatory filings (e.g., 10K and 10Q).

• Act as a strategic finance business partner to corporate leadership, helping shape financial strategy and operational efficiency.

• Lead monthly variance analysis, collaborating with executives to identify and resolve budget discrepancies.

• Provide decision-support analysis for business initiatives and procurement decisions.

• Research broader economic trends and incorporate findings into financial models and forecasts.

• Experience in technology, SaaS, telecommunications, or other high-growth industries.

• Hands-on experience with AI-powered financial automation and finance system implementations.

• Strong understanding of data pipelines, API integrations, and cloud-based financial platforms.

• Subject matter expertise in FP&A best practices with a focus on continuous process improvement.

• Proven leadership with ability to balance business requirements and people management.

• Service-oriented mindset with strong stakeholder management skills.

• Excellent communication skills (oral, written, and visual) for presenting insights at all levels.

• Independent problem solver with strong research and information-gathering abilities.

• Advanced financial modeling and superior analytical skills with high accuracy and attention to detail.

• Bachelor's degree in Finance, Accounting, or related field (CPA or CFA preferred ).

• 6+ years of experience in financial planning, analysis, and financial systems transformation.

• 2+ years of management experience overseeing FP&A processes and teams.

• Strong proficiency in financial modeling, data analysis, and financial automation tools.

• Experience with ERP systems (e.g., Sage Intacct, NetSuite) and BI tools (e.g., Looker, Tableau, Power BI).

• Proven ability to automate processes, integrate AI-driven tools, and optimize financial reporting structures.

• Strong leadership and collaboration skills across finance and operational teams.

• Excellent communication skills with ability to present findings to executive leadership.

The base salary range for this position is $104,000 to $20,000. Range shown in CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits

Want to know more about what we stand for? At Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here.

#LI-JL1

#LI-Remote