68 Data Strategy jobs in Canada

Job Description

Salary:

Analyste BI & stratgie de donnes

Vous souhaitez faire partie dune entreprise o chaque effort que vous dployez vous donnera le sentiment de contribuer rendre le monde meilleur. FoodHero est une application qui connecte les marchands de produits alimentaires aux consommateurs pour vendre rapidement des excdents de produits frais qui seraient autrement gaspills.

Environ 40 % de toute la nourriture produite dans le monde est gaspille chaque anne. Et lorsque de la nourriture est gaspille, tout ce qui a t utilis pour la mettre dans nos assiettes est galement gaspill : eau, nergie, engrais, pesticides (mme les biologiques), terres cultivables, et bien plus encore.

Les personnes sont au cur de toute mission russie. C'est pourquoi nous offrons un environnement de travail stimulant et dynamique bas sur la confiance, le respect, le plaisir, la communaut, la passion, la responsabilit et l'humilit. Nous sommes ddis offrir des opportunits de dveloppement personnel et professionnel, et encourager les membres de lquipe se dpasser continuellement.

propos du poste

Nous sommes la recherche dune Analyste BI et stratgie de donnes pour jouer un rle central dans la collecte, lanalyse et la valorisation des donnes oprationnelles et commerciales, afin de soutenir les initiatives stratgiques de lorganisation et doptimiser lexprience de nos partenaires et clients.

Dans le cadre de ce mandat, vous serez galement amene soutenir la coordination de certaines activits oprationnelles
et la gestion des relations partenaires.

Responsabilits

• Participer la structuration des processus de collecte et danalyse de donnes pour soutenir les prises de dcisions.
• Proposer et implanter des amliorations oprationnelles bases sur les donnes de performance.
• Assurer une communication claire et structure des donnes partenaires aux parties prenantes.
• Suivre et analyser lvolution des indicateurs de performance cls (KPI) afin didentifier les tendances, carts et opportunits damlioration.
• Concevoir et maintenir des tableaux de bord et visualisations de donnes permettant une lecture rapide et stratgique des rsultats.
• Collaborer avec lensemble des quipes pour identifier et maintenir les indicateurs de performance critiques (KPIs) ct partenaires et oprations.
• Participer la dfinition et lamlioration des outils de visualisation de donnes (dashboards, rapports).
• Contribuer lanalyse stratgique des donnes partenaires pour guider les initiatives de croissance, d'efficacit et de rtention.
• Vous pourriez galement tre appels aider la supervision des oprations quotidiennes pour la prestation des services technologiques aux partenaires, et le maintien de relations durables avec des partenaires cls.

Comptences et qualifications

• Exprience marque en BI, analyse de donnes ou stratgie axe sur les donnes.
• ATOUT - exprience dans le secteur de l'picerie, de l'agroalimentaire ou du commerce de dtail alimentaire.
• ATOUT -Trs bonne comprhension des ralits et dfis oprationnels dans ce secteur (ex. logistique, gestion d'inventaire, saisonnalit, marge faible, etc.).
• Capacit grer plusieurs projets en parallle dans un environnement volutif.
• Aisance avec les outils danalyse (Excel, Google Sheets, MongoDB for NoSQL, Power BI ou autres) et les outils numriques de gestion.
• Excellentes habilets relationnelles, organisationnelles et de communication.
• Bilinguisme (franais et anglais)
  
  

Analyst, BI & Data Strategy

How about joining a company that will have you feeling like every effort you make is a step towards making the world a better place? FoodHero is an app that connects food merchants to consumers to quickly sell surplus fresh food that would otherwise end up in the trash.

Approximately 40% of all the food produced around the world is wasted each year. And when food is wasted, everything used to get that food onto our plates is wasted too - water, energy, fertilizers, pesticides (even organic ones), cropland and so much more.

People are at the heart of any successful mission. As such, we offer an engaging and dynamic working environment based on trust, respect, fun, community, passion, accountability and humility. We are dedicated to providing opportunities for personal and professional development, and challenging their team members to continually take themselves to the next level.

About the Position

We are looking for an Analyst, BI & Data Strategy to play a central role in collecting, analyzing, and leveraging operational and commercial data to support the organization's strategic initiatives and optimize the experience of our partners and customers.

As part of this role, you will also be called upon to support the coordination of certain operational activities and the management of partner relationships.

Responsibilities

• Contribute to structuring data collection and analysis processes to support decision-making.
• Propose and implement operational improvements based on performance data.
• Ensure clear and structured communication of partner data to stakeholders.
• Monitor and analyze the evolution of key performance indicators (KPIs) to identify trends, gaps, and areas for improvement.
• Design and maintain dashboards and data visualizations that allow for a quick and strategic reading of results.
• Collaborate with all teams to identify and maintain critical performance indicators (KPIs) on the partner and operations side.
• Participate in defining and improving data visualization tools (dashboards, reports).
• Contribute to the strategic analysis of partner data to guide initiatives related to growth, efficiency, and retention.
• You may also be called upon to help supervise daily operations for the delivery of technological services to partners and the maintenance of lasting relationships with key partners.

Skills and Qualifications

• Significant experience in BI, data analysis, or data-driven strategy.
• ASSET Experience in the grocery, agri-food, or food retail sectors.
• ASSET Strong understanding of the operational realities and challenges in this sector (e.g., logistics, inventory management, seasonality, low margins, etc.).
  Ability to manage several projects simultaneously in a dynamic environment.
• Ease with analysis tools (Excel, Google Sheets, MongoDB for NoSQL, Power BI, or others) and digital management tools.
• Excellent interpersonal, organizational and communications skills.
• Bilingualism (French and English).

Job Description

NFI Parts™ is North America’s most comprehensive organization providing parts, technical publications, training, and support for buses and motor coaches. NFI Parts is the parts division of NFI Group, providing replacement parts for New Flyer® transit buses, MCI® motor coaches, ADL buses, ARBOC® vehicles, as well as the product lines for the acquired NABI and Orion parts businesses. Additionally, NFI Parts has extensive cross references for parts that are common with other bus, coach, and cutaway product lines and has a mature supply base and established relationships with over 1,000 suppliers. Further information is available at

POSITION SUMMARY:

Working under the direction of the Sr. Technical Editor (Data Management), you are to research, analyze, markup and assemble build specific work research packages from multiple data sources such as Bills of Material (BOMs), engineering drawings, and vendor information. Perform manual update research and editing tasks as determined by the Sr. Tech Editor or Publications Coordinator when required.

WHAT YOU WILL DO:

• Create manual section research packages by extracting data from all available sources such as engineering BOMs, product photos, supplier documents, engineering specs, engineering drawings, and use to identify changes or new info to existing bus parts data.
• Effectively organize the assigned research information packages (both hard copy and electronic versions) in order of priority and project strategy so they can be completed and handed over to the illustration group within the deadlines given.
• Complete all Team Center research work tasks as assigned by Technical Editors and following established work procedures.
• Contact any engineering staff or Part Supplier to clarify and verify the accuracy of their data or to source new data if required. This is very important which requires proper communication and investigative skills in order to obtain the required information within the timeframe available for each project. Maintaining a good working relationship with each supplier.
• Maintain proper records of part supplier (vendor) data requests and perform follow-up actions to ensure that data requested is correct and obtained when required.
• Perform all research duties according to established procedures and guidelines and to proactively communicate with Technical Editors at any time when you are not certain.
• Perform editing tasks as determined by the Sr. Tech Editor or Publications Coordinator when required to supplement any shortfalls of editing capacity. Those tasks can include; SRPM template cleaning, editing, statistic reports, mentoring staff and supplying alternative solutions.
• Perform manual update recording and manual bulletin creation when required
• Complete tasks within specified time schedule deadlines and perform quality control checks of all work before handing in.
• Assign New Flyer part numbers to new OEM supplier parts.
• Properly maintain and archive source documentation in both electronic and hard copy formats.
• Collect and communicate to the Technical Editor all data inaccuracies identified during the project so they are promptly recorded into the update system.
• Perform efficiently and effectively in a team environment.
• Consult with Technical Editors for clarification and information.
• Upgrade skills on new or updated software.

Requirements

• Certification/diploma from recognized technical school as a Mechanical Technologist or equivalent workplace experience.
• 3-5 years experience in interpreting Manufacturing BOMs and engineering drawings into service parts lists.
• Heavy equipment/automotive parts manufacturing background.
• Experience in sourcing vendor data.
• Experience with Engineering Data Management systems such as TeamCenter.
• Capable of working under tight deadlines.
• Excellent investigative and communication skills in an engineering environment.
• Excellent mechanical aptitude.
• Effective customer service and investigative skills.
• Strong working knowledge in MS Office applications, Windows OS and network. Oracle database ERP system.
• Working experience in the technical publishing industry as a data research technician is an asset.

Benefits

WHY JOIN OUR TEAM:

• Competitive wages and a comprehensive benefits package.
• A continuous learning environment.
• Ability to advance your career with a growing company.
• Employee social committee organizes numerous events throughout the year, including summer barbecues, holiday festivities, sporting events and tournaments, and much more.
• Ongoing employee development through a variety of in-house training initiatives along with tuition subsidies for courses at outside institutions.

OUR WHY:

We exist to move people. Our mission is to design and deliver exceptional transportation solutions that are safe, accessible, e­fficient and reliable.

NFI Group is a leading independent global bus manufacturer providing a comprehensive suite of mass transportation solutions. News and information is available at and

Job Description

Company Overview 

At Ouster, we are pioneering the future of Physical AI by redefining the capabilities of deep learning. Through our groundbreaking digital lidar solutions, including the Ouster Gemini perception platform and BlueCity smart city applications, we deliver the critical intelligence needed to build a safer and more efficient world.

We are seeking a highly organized and detail-oriented Data Management Engineer to own, develop and operate our entire data pipeline, from collection to validation. In this critical role, you will be the bridge between our engineering teams, stakeholders, and external labeling partners. You will manage the full lifecycle of our datasets, ensuring the quality and integrity required to train and validate our advanced perception systems. The ideal candidate is a proactive problem-solver with a strong technical background in coding, data handling and a knack for process improvement.

Data Acquisition & Management

• Stakeholder Coordination: Liaise with internal teams to define data collection requirements and priorities, maintaining clear documentation on collection needs.
• Data Collection: Perform on-site data recording using our systems and directly obtain datasets from key stakeholders or customers.
• Data Storage & Archiving: Manage and organize large datasets across various storage solutions, including Google Cloud (GCloud) and local Network Attached Storage (NAS), ensuring data is secure, accessible, and up-to-date.

Data Processing & Validation

• Lidar Pre-processing: Conduct initial alignment and pre-validation of raw Lidar point cloud data to ensure its quality and usability.
• Data Validation & Quality Assurance: Design, Develop and Perform rigorous validation processes on labeled data received from vendors to confirm it meets our standards before being integrated into training or validation sets.
• Dataset Management: Handle the strategic splitting of datasets for training and validation purposes. Identify and document errors or inconsistencies in current datasets and coordinate with labeling teams for corrections.
• Validation & Regression Framework: Add new datasets into our validation framework, which includes creating precise Areas of Interest (AOIs) and generating new baseline performance metrics.

Labeling & Process Improvement

• Labeling Coordination: Manage the end-to-end labeling process by sending data to our labeling partners, tracking their progress, and serving as the primary technical point of contact.
• Documentation: Own and update all labeling documentation, including defining new classes and clarifying labeling instructions to ensure data consistency.
• Metrics & Reporting: Continuously improve the metrics and reports used for our validation, performance and regression testing, adding new parameters as needed to enhance our evaluation framework.
• Automation & Efficiency: Run, maintain, and improve our pre-labeling pipeline to increase the efficiency of our data operations.
• Tool & Industry Research: Conduct industry research to identify and evaluate new tools and technologies that can make our labeling and data management processes more efficient.

Required:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• Proven experience in managing large-scale datasets and complex validation pipelines  for machine learning and computer vision applications.
• Proficiency in scripting languages such as Python for automation and data manipulation.
• Familiarity with data labeling processes and managing multiple labeling vendors.
• Strong organizational skills with the ability to manage multiple projects and priorities simultaneously.
• Excellent communication skills, with experience coordinating between technical teams and external vendors.
• Meticulous attention to detail, especially in data validation and quality control.
• Ability to identify a gap in processes and define a proper process to bridge over the gap.

Nice to have:

• Strong knowledge of C++ / RUST.
• DevOps or MLOps experience.
• Hands-on experience with Lidar data and point cloud processing.

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Job Description

At Katalyst Data Management, we are dedicated to delivering innovative solutions that drive success for our clients. Our commitment to excellence and continuous improvement has established us as a leader in the industry. As we expand our consulting services, we are looking to connect with talented individuals who can help us achieve our vision.

Position Overview:

We are currently accepting applications for the role of Data Management Consultant to build a pool of qualified candidates for future consulting opportunities. While there are no immediate openings, we recognize the growing demand for skilled data management professionals and want to be prepared to engage top talent as projects arise.

Key Responsibilities Examples:

• Collaborate with clients to assess their data management needs and develop actionable strategies.
• Design, implement, and optimize data management processes and systems.
• Ensure data quality and integrity through effective data governance practices.
• Analyze and interpret complex data sets, providing insights and recommendations for improvement.
• Train and support client teams on best practices in data management.

Qualifications:

• Bachelor’s degree in data management, Computer Science, Business Administration, or a related field.
• Proven experience in data management consulting, data governance, or relevant roles.
• Strong analytical skills and experience with data analysis tools and software.
• Excellent problem-solving capabilities and attention to detail.
• Effective communication and interpersonal skills to work collaboratively with clients and teams.

Why Join Katalyst Data Management?

• Opportunity to work on a variety of projects with diverse clients.
• Engage in a flexible work environment with opportunities for remote consulting.
• Contribute to innovative solutions that make a tangible impact.

If you are interested in being considered for future Data Management Consultant opportunities, please submit your resume and a brief cover letter outlining your qualifications and experience in the position by clicking the apply button.

We look forward to reviewing your application and possibly connecting with you for future opportunities!

Katalyst Data Management is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Omni-Channel Data Lead

Global Pharmaceutical Company

$160,000 – $180,000 base salary + bonus + full benefits

Remote – Greater Toronto Area

The Company:

This is an opportunity to join a global pharmaceutical leader that’s actively investing in data, technology, and marketing innovation. The company is modernizing how it connects with patients and providers across channels, and data is at the core of that strategy.

The Role – Omni-Channel Data Lead:

This role acts as the connective tissue between the Marketing Analytics team and IT/Data Engineering. You’ll ensure the analytics and brand teams have clean, accessible data to drive smarter decisions, and you’ll be responsible for troubleshooting issues, governing usage, and shaping how data is managed across platforms.

Key Responsibilities:

• Own the flow of data across marketing and analytics platforms (email, social, CRM, digital, etc.)
• Work closely with IT to address data gaps, validate pipelines, and prioritize fixes
• Create governance standards and best practices around data usage and access
• Troubleshoot issues and educate users on what's broken and how it's being resolved
• Communicate effectively with technical and non-technical stakeholders to align data priorities

Your Skills and Experience:

• 5+ years of experience in data management, data engineering, or data governance roles
• Strong understanding of data pipelines, architecture, and quality assurance
• Experience acting as a liaison between business and technical teams
• Comfortable managing complex data environments and resolving data issues
• Clear, confident communicator who can bridge technical depth with strategic thinking

How to Apply:

If you’re excited by the idea of shaping how data supports omni-channel marketing at scale, and want to work with a company that’s serious about innovation, we’d love to hear from you. Submit your resume to express interest in this role.

Keywords: Data Management, Data Governance, Data Quality, Data Engineering, Marketing Analytics, CRM, Digital Marketing, Data Pipelines, Strategic Data, Pharma Analytics

Seniority Level: Lead/Associate Director

Industry: Pharmaceuticals, Healthcare, Data & Analytics

Employment Type: Full-Time

Job Functions: Data Management, Data Strategy, Marketing Operations, Analytics Enablement