19 Data Analysts jobs in Richmond

Description
Are you passionate about building business insights that drive decision making at highest levels? Do you want to be part of fast-paced, ambiguous environment and contribute to Intellectual Property Protections charter?
As a Sr. BIE, from Day 1, you will be challenged with solving complex and ambiguous data and metric problems , creating datasets, reports and dashboards to metadata modeling, pipeline monitoring, and more.
What are we looking for?
- You have a track record of end-to-end ownership and successfully delivering results in fast-paced and dynamic business environment.
- You live and breathe data. You are passionate about finding root causes, trends, and patterns and how they impact business. You use data to support your ideas and drive actionable outcomes, and draw inferences and conclusions based on data.
- You should be able to work on complex initiatives, deal with ambiguity and work with senior leaders
- You have extensive experience working with extremely large data sets and are comfortable with various tools and technologies to consume, extract and transform data.
- You have business communication skills to be able to work with product owners to understand key business questions, and are able to build solutions (analysis/ reports / dashboards) that enable product owners to answer those questions quickly and accurately.
- You are comfortable juggling competing priorities and handling ambiguity. You thrive in an agile and fast-paced environment on highly visible projects and initiatives.
Key job responsibilities
- Be highly data driven, resourceful, customer-obsessed and team oriented
- You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide.
- You will help translate analytic insights into concrete, actionable recommendations for business or product improvement.
- You will develop dashboards that provide insights into the health and state of the business, create analytics solutions to drive deep dives, and determine ways to measure impact.
- You will provide insights and analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors, improve customer experience and predict & recommend the optimizations for future state.
- You will interact with internal program, product, engineering, data & science owners to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets.
- You will own the design, creation, and management of extremely large datasets.
- You will be responsible to tune query performance against large and complex data sets.
- You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices.
- Be able to clearly communicate strategic findings and recommendations
- Translate complex, technical concepts into business terms and vice versa
About the team
The IPP team is a part of Amazon's Selling Partner Services (SPS) organization. The team's vision is to use data provided by Brands in the Brand Registry to prevent Brands eligible for protections worldwide from ever seeing an ASIN on Amazon that has invalid data (e.g. misuse of trademarks, copyright) associated with their Brand on Amazon. We strive to make Amazon the best way for Selling Partners to operate their businesses by protecting their intellectual property while reaching customers locally and globally.
Basic Qualifications
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Knowledge of data warehousing and data modeling
Preferred Qualifications
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $97,400/year up to $162,600/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.

Description
Are you looking for a role where you have the opportunity to shape Amazon's Pricing and Promotions using data, analytics, and insights? If so, our role in Amazon's Pricing & Promotions Science, Data, and Insights organization is for you.
Amazon's Pricing & Promotions Science, Data, and Insights organization is seeking a highly analytical Business Intelligence Engineer. In this role, you will develop, build, and deliver automated analytics, insights, and anomaly detection tools and technologies, which will deliver the best prices and experiences to our customers. Data, insights, and analytics are at the core of Amazon's culture, and your work will have a direct impact on decision making and strategy for the Pricing and Promotions organization.
This role requires a hands-on engineer, with high learn and be curious, that is able to invest, simplify, and deliver for their customers. We are looking for a person with broad analytical abilities, that is customer and delivery-focused, and a has a track record of earning your customers and peer's trust. To be successful in this role, you will need strong business intelligence experience and an entrepreneurial mindset.
Key job responsibilities
- Support business intelligence for your business and its customers.
- Develop, build, and deliver analytical reporting, models and business strategy
- Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
- Leverage LLMs to generate Insights and drive growth discussions with Product teams.
- Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
- Continuously invent, simplify, and automate your products, tools, services, and methodologies.
- Improving back-end data sources for increased accuracy and simplicity.
- Recognize and adopt best practices in reporting, analyses, data quality and modeling.
About the team
The Pricing & Promotions Science organization leverages planet scale multi-modal data on billions of Amazons and external competitor products to build advanced machine learning models for product similarity, substitutability, error detection & correction, and probabilistic price estimation, discovery and discount optimization, promotion & deal recommendation and ranking, and causal short- & long-term impact measurement. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error free.
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience working as a BIE in a technology company
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelors Degree
Preferred Qualifications
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $76,400/year up to $127,600/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.

Description
Are you looking for a role where you have the opportunity to shape Amazon's Pricing and Promotions using data, analytics, and insights? If so, our role in Amazon's Pricing & Promotions Science, Data, and Insights organization is for you.
Amazon's Pricing & Promotions Science, Data, and Insights organization is seeking a highly analytical Senior Business Intelligence Engineer. In this role, you will develop, build, and deliver automated analytics, insights, and anomaly detection tools and technologies, which will deliver the best prices and experiences to our customers. Data, insights, and analytics are at the core of Amazon's culture, and your work will have a direct impact on decision making and strategy for the Pricing and Promotions organization.
This role requires a self-starting leader with high judgment that thrives in ambiguity. We are looking for a person with broad and deep analytical abilities, that is customer and delivery-focused, and a has a track record of earning your customers and peer's trust. To be successful in this role, you will need strong business acumen and an entrepreneurial mindset.
Key job responsibilities
- Lead business intelligence for your business and its customers.
- Develop, build, and deliver analytical reporting, models and business strategy.
- Conducting deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
- Leverage LLMs to generate Insights and drive growth discussions with Product teams.
- Producing written recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
- Continuously invent, simplify, and automate your products, tools, services, and methodologies.
- Improving back-end data sources for increased accuracy and simplicity.
- Recognizing and adopting best practices in reporting, analyses, data quality and modeling.
About the team
The Pricing & Promotions Science organization leverages planet scale multi-modal data on billions of Amazons and external competitor products to build advanced machine learning models for product similarity, substitutability, error detection & correction, and probabilistic price estimation, discovery and discount optimization, promotion & deal recommendation and ranking, and causal short- & long-term impact measurement. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error free.
Basic Qualifications
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience with AWS technologies
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of design of experiments and statistical analysis of results
Preferred Qualifications
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Experience using AWS services such as EC2, S3, Glue, Redshift, QuickSight, Lookout, Bedrock, Lambda, Step functions and SageMaker.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $97,400/year up to $162,600/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.

Your Job

DarkVision, a Koch Engineered Solutions company, is seeking a Data Analysis Team Lead to join our fast growing In-line (pipeline) Inspection team in North Vancouver, BC . DarkVision leverages cutting-edge proprietary acoustic imaging technology to deliver industry leading asset inspection services, capable of detecting defects as small as a few millimeters. As an ILI (In-Line Insepction) Data Team Lead, you will manage a team of Data Analysts to produce accurate inspection reports critical to the safe operation of oil and gas pipelines.

The ideal candidate has experience leading technical teams to deliver mission-critical results in a fast-paced, entrepreneurial environment. You bring a passion for operational excellence, process optimization, and challenging the status quo. Join our innovative team - comprising experts in machine vision, imaging, computer graphics, and data analytics - as we continue building the world's most advanced platform for industrial imaging and pipeline diagnostics.

Our Team

Our Data Analysts utilize 3D data visualization software and human-in-the-loop machine learning processes to meticulously analyze ultrasound datasets. The outputs of these analyses result in critical insights that enable our clients to make data-informed decisions on the operations and maintenance of multi-million-dollar infrastructure assets.

What You Will Do

• Learn the delivery standards and workflow processes for your assigned ILI product line
• Regularly check in with team members to assess capacity and remove roadblocks or inefficiencies
• Through frequent 1:1 meetings, track team members' progression in their role, deliver constructive feedback, and ensure they receive proper recognition for their work while building a roadmap for their career development
• Facilitate communication between your team and other teams and upper management
• Ensure employees are aligned with the company vision, and that the goals and direction of the team help drive achievement of the vision
• Facilitate the improvement of workflow procedures and best practices; seek out new solutions, seek feedback, and investigate and implement improvement opportunities
• Review projects assigned to Analysts on your team; you are responsible for the content and delivery of projects
• Partner with Recruiting and other Team Leads to recruit and evaluate candidates; a high volume of growth and hiring is expected
• Make informed recommendations for hiring, raises/promotions, performance management, and further training
• Develop new and improve existing processes and standards
• Set project deadlines, assign project leads, and manage follow-up requests
• Forecast team capacity vs. projected projects, offering transparency to stakeholders

Who You Are (Basic Qualifications)

• Experience managing a team producing client deliverables (e.g. reports, analysis)
• Experience managing early to mid-career individuals
• Experience leading process improvement initiatives

What Will Put You Ahead

• Experience in the Oil & Gas industry (e.g. ILI, pipeline or piping integrity, NDE/NDT, well integrity, well logging) or industrial asset inspection services
• Experience managing teams with at least 5 team members
• Experience in rapidly scaling an operation or team
• Able to disseminate complex information and generate pragmatic solutions
• Able to assess and adjust work processes to meet scaling requirements; delegate and prioritize work effectively among the team

For this role, we anticipate paying $85,000 - $110,000 CAD per year. This role is eligible for variable pay, issued as a monetary bonus or in another form.

At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.

Who We Are

As a Koch Engineered Solutions company, DarkVision provides high-resolution acoustic imaging technology that offers significant improvements over existing ultrasonic and other imaging technologies on the market today. We serve customers in a variety of industries, such as public infrastructure, energy and pipelines, power (renewables and conventional), aerospace, manufacturing, automotive and others.

At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.

Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.

How to Apply

If you have the above qualifications, we would like to hear from you. We thank all applicants in advance, but please be advised that only those selected for an interview will be contacted.

We are an equal opportunity employer. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the kochcareers.com webpage.

Successful candidates will be required to complete a criminal background check.

Job Description
Insight Global is looking for a Data Analyst to join a boutique financial institution in Canada. The day to day activities include the following:
1. Data Acquisition & Coordination
Act as the primary point of contact for internal and external partners to gather client transaction data.
Coordinate with 40+ external partners to ensure timely data submissions; track responses and follow up with non-respondents.
Collaborate with the MFT (Managed File Transfer) team to facilitate secure data transfers from external sources.
2. Data Processing & Technical Review
Review incoming data files, often in raw text format, using schema files to interpret and validate structure and content.
Perform initial data quality checks to ensure completeness and accuracy before ingestion into Power BI.
Work closely with the internal data engineering team to map incoming data to internal formats and resolve any discrepancies.
3. Project Support & Monitoring
Support ongoing projects by maintaining trackers of partner engagement and data submission status.
Help keep the project on schedule by identifying delays and escalating issues as needed.
Assist in the setup and maintenance of Power BI dashboards used for transaction monitoring.
4. Analytical & Problem-Solving Tasks
Apply a technical and detail-oriented eye to identify anomalies or issues in data structure or content.
Use schema documentation and team guidance to troubleshoot and resolve data formatting or mapping issues.
Support the AML (Anti-Money Laundering) team by ensuring data is structured correctly for alert adjudication and monitoring, though deep AML expertise is not required.
5. Cross-Functional Collaboration
Liaise with internal stakeholders including the data team, AML analysts, and project managers to ensure smooth data flow and accurate reporting.
Provide support in translating business requirements into data specifications for Power BI integration.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form ( . The EEOC "Know Your Rights" Poster is available here ( .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .
Skills and Requirements
5+ years of experience as a Data Analyst or in a similar data-focused role.
Strong Excel skills, including the ability to organize and structure raw data (no advanced formulas required).
Comfort working with raw data files (e.g., .txt, .csv) that arrive in Notepad or similar formats.
Ability to visually interpret and identify data delimiters (e.g., pipe , , comma ,, tab) in unstructured or semi-structured text files.
Experience with basic data formatting and cleanup to prepare files for further processing or analysis.
Strong attention to detail and ability to spot inconsistencies or formatting issues in raw data.
Comfortable working in a technical environment and collaborating with data engineers or technical teams. null
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to

Job Description

Job Description

Venturis Capital Corporation strategically invests in visionary and values-driven organizations, with expertise in the material handling equipment industry. With an entrepreneurial spirit, people-focused mindset, and mission-driven approach, Venturis and its companies have achieved consistent growth across North America.

Today, the Venturis group of companies represents an extensive and integrated network of businesses, including over 60 branches and 1,400 employees. In addition to our expanding dealership network, our portfolio includes complementary companies providing financing, freight and logistics, parts manufacturing, industrial parts supply, component rebuilding, training solutions, and marketing.

With a focus on learning and continuous improvement, we are proud to invest in our people and offer a progressive and flexible work culture where you can develop and advance your career while focusing on meaningful work.

The Opportunity

Venturis is looking for a Senior Data Analyst to join our team remotely in Coquitlam, British Columbia . As the Senior Data Analyst, you will lead the data migration from our legacy ERP to a modern ERP platform, ensuring timely and accurate delivery across core business domains. This hands-on role includes defining the migration roadmap, coordinating a small team, and resolving data issues.

Essential Duties & Responsibilities

As the Senior Data Analyst your key responsibilities will include:

• Lead the planning and execution of data migration activities across all ERP domains

• Define and manage the data migration roadmap, including profiling, mapping, cleansing, and validation

• Coordinate a small team to ensure on-time, high-quality data delivery aligned with project milestones

• Collaborate with functional and technical stakeholders to align business requirements with migration plans

• Support mock runs, cutover planning, and post-load validation and reconciliation

• Document data flows, rules, and assumptions for use in future reporting and integration work

• Post-migration, lead the ingestion and modeling of ERP data into Microsoft Fabric to support analytics

• Collaborate with data engineers and Power BI developers to enable semantic models and data products

Required Skills & Qualifications

The ideal candidate will possess the following skills, knowledge, and competencies:

• 5+ years of experience in data analysis or migration, with strong delivery ownership

• Deep understanding of ERP data domains, including finance, inventory, customers, and vendors

• Strong SQL skills and experience with ETL tools or scripting for data profiling and transformation

• Experience leading small teams or workstreams with accountability for outcomes

• Familiarity with Microsoft Dynamics 365 Finance & Operations (F&O) is preferred

• Previous exposure to or interest in Microsoft Fabric, including Lakehouses, Dataflows, and semantic modeling

• Strong communication and documentation skills for technical and non-technical audiences

Benefits & Perks

Venturis is proud to offer competitive compensation and flexible benefits coverage for all eligible employees, including an employer matching RRSP plan:

• Company paid medical health care plan for you and your dependents

• Dental plan, vision plan, and prescription drug coverage

• Annual health care spending account

• Life insurance, disability insurance, and travel insurance – 100% employer paid

• Sick leave plan – 100% employer paid

• Employee assistance programs

• RRSP matching

• Ongoing professional development opportunities

The base pay range for this role is: $100,000 to $120,000, depending on experience.

This is a remote role based in Coquitlam, British Columbia .

Venturis Capital would like to thank all applicants for their interest; however, only qualified applicants will be contacted by Talent Acquisition for an interview. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, religion, sex, national origin, disability status, veteran status, age, sexual orientation, gender identity, or any other characteristic protected by law.

#VenturisCapital

CSC Generation is on a mission to build the most advanced AI-driven retail operating system in the industry. Our brands—including Sur La Table, One Kings Lane, and Backcountry—rely on fast, intelligent decision-making rooted in high-integrity data. We're hiring an AI-First Data Analyst who combines deep statistical know-how with modern AI tooling and automation instincts.

This is a highly technical, hands-on role. You’ll build causal models, apply advanced machine learning techniques (e.g., Double ML), and develop internal data tools that help our brands operate faster, smarter, and more autonomously. You’ll be embedded with senior operators and report directly to a brand CEO or platform leader, supporting real decisions—not dashboards for dashboards’ sake.

This role is designed for someone early in their career, but exceptionally gifted, ambitious, and AI-native. You’ll grow fast, learn directly from executives, and become a critical part of CSC’s data and AI transformation.

What you get to do every day:

• Conduct causal analysis and treatment effect estimation using Double ML, causal forests, and uplift modeling to guide high-stakes decisions (e.g., promotions, marketing strategy, inventory management).
• Build AI-powered internal tools that automate analytical tasks and surface insights (e.g., GPT-powered report generation, automated anomaly detection).
• Develop and own dashboards and data pipelines that drive real-time visibility across sales, marketing, operations, and finance.
• Partner directly with business leaders to translate fuzzy questions into testable hypotheses, and then deliver answers that inform action.
• Identify opportunities to automate recurring analyses via custom GPTs, scripts, or workflow platforms like n8n.
• Work closely with engineering and data platform teams to improve data cleanliness, accessibility, and documentation.

What you bring to the role:

• 1–3 years of experience in data science, quantitative analysis, or machine learning.
• Bachelor’s or Master’s degree in Statistics, Economics, Computer Science, Data Science, or a related quantitative field.
• Expertise in causal inference frameworks—especially Double ML, A/B testing, and other counterfactual methods.
• Strong coding skills in Python or R; experience with SQL, Jupyter, and version control (Git).
• Comfortable building data pipelines and working with large datasets.
• Proficiency with AI tools such as ChatGPT, Claude, or custom GPTs, and a drive to integrate them into your work.
• Curious, fast-learning, and deeply motivated to solve business problems through analysis and automation—not just reporting.
• Experience with workflow automation (e.g., n8n, Make, Zapier) is a plus.

Why this role is different

Most data roles live downstream of decisions. This one lives at the center of them.

As our AI-First Data Analyst, you won’t just be running models—you’ll be shaping how our business thinks. You’ll work directly with executives, build tooling used by dozens of team members, and automate away repetitive insight work so you can focus on strategic problems.

We aren’t looking for someone to maintain dashboards. We’re looking for someone to build the next generation of internal data products—and use AI to do it 10x faster.

What’s in it for you? Joining CSC Generation isn’t just about having a seat at the table—it’s about helping redesign the table entirely. You’ll be challenged, stretched, and supported as you grow faster than you thought possible. In addition to competitive compensation, we offer:

• Executive Access: Work directly with brand CEOs and senior leadership, solving real business problems and earning mentorship from top operators.
• AI-First Skill Building: Get hands-on with the most advanced AI tools in the market. From automation to prompt engineering, you’ll build a modern tech stack that sets you apart in any industry.
• Accelerated Career Path: High performers are quickly entrusted with greater responsibility, new challenges, and leadership opportunities across our portfolio of brands.
• Competitive benefits: Paid time off policies, 401(k)/RRSP match, medical/dental/vision and a variety of supplemental policies, and employee discounts at our portfolio companies

What our interview process looks like:

• Step 1: If you align with our vision and meet the qualifications, we’ll reach out to schedule a conversation and introduce CSC.

CSC Generation is on a mission to build the most advanced AI-driven retail operating system in the industry. Our brands—including Sur La Table, One Kings Lane, and Backcountry—rely on fast, intelligent decision-making rooted in high-integrity data. We're hiring an AI-First Data Analyst who combines deep statistical know-how with modern AI tooling and automation instincts.

This is a highly technical, hands-on role. You’ll build causal models, apply advanced machine learning techniques (e.g., Double ML), and develop internal data tools that help our brands operate faster, smarter, and more autonomously. You’ll be embedded with senior operators and report directly to a brand CEO or platform leader, supporting real decisions—not dashboards for dashboards’ sake.

This role is designed for someone early in their career, but exceptionally gifted, ambitious, and AI-native. You’ll grow fast, learn directly from executives, and become a critical part of CSC’s data and AI transformation.

What you get to do every day:

• Conduct causal analysis and treatment effect estimation using Double ML, causal forests, and uplift modeling to guide high-stakes decisions (e.g., promotions, marketing strategy, inventory management).
• Build AI-powered internal tools that automate analytical tasks and surface insights (e.g., GPT-powered report generation, automated anomaly detection).
• Develop and own dashboards and data pipelines that drive real-time visibility across sales, marketing, operations, and finance.
• Partner directly with business leaders to translate fuzzy questions into testable hypotheses, and then deliver answers that inform action.
• Identify opportunities to automate recurring analyses via custom GPTs, scripts, or workflow platforms like n8n.
• Work closely with engineering and data platform teams to improve data cleanliness, accessibility, and documentation.

What you bring to the role:

• 1–3 years of experience in data science, quantitative analysis, or machine learning.
• Bachelor’s or Master’s degree in Statistics, Economics, Computer Science, Data Science, or a related quantitative field.
• Expertise in causal inference frameworks—especially Double ML, A/B testing, and other counterfactual methods.
• Strong coding skills in Python or R; experience with SQL, Jupyter, and version control (Git).
• Comfortable building data pipelines and working with large datasets.
• Proficiency with AI tools such as ChatGPT, Claude, or custom GPTs, and a drive to integrate them into your work.
• Curious, fast-learning, and deeply motivated to solve business problems through analysis and automation—not just reporting.
• Experience with workflow automation (e.g., n8n, Make, Zapier) is a plus.

Why this role is different

Most data roles live downstream of decisions. This one lives at the center of them.

As our AI-First Data Analyst, you won’t just be running models—you’ll be shaping how our business thinks. You’ll work directly with executives, build tooling used by dozens of team members, and automate away repetitive insight work so you can focus on strategic problems.

We aren’t looking for someone to maintain dashboards. We’re looking for someone to build the next generation of internal data products—and use AI to do it 10x faster.

What’s in it for you? Joining CSC Generation isn’t just about having a seat at the table—it’s about helping redesign the table entirely. You’ll be challenged, stretched, and supported as you grow faster than you thought possible. In addition to competitive compensation, we offer:

• Executive Access: Work directly with brand CEOs and senior leadership, solving real business problems and earning mentorship from top operators.
• AI-First Skill Building: Get hands-on with the most advanced AI tools in the market. From automation to prompt engineering, you’ll build a modern tech stack that sets you apart in any industry.
• Accelerated Career Path: High performers are quickly entrusted with greater responsibility, new challenges, and leadership opportunities across our portfolio of brands.
• Competitive benefits: Paid time off policies, 401(k)/RRSP match, medical/dental/vision and a variety of supplemental policies, and employee discounts at our portfolio companies

What our interview process looks like:

• Step 1: If you align with our vision and meet the qualifications, we’ll reach out to schedule a conversation and introduce CSC.