Data Analyst

• Collaborating with cross-functional teams by proactively proposing analytical solutions and data insights
• Ensuring teams have the necessary data they need to function effectively by identifying and tracking core KPIs on top of building dashboards and reports
• Performing in-depth analysis to drive fresh insights and inform business recommendations
• Monitoring and evaluating data quality to ensure the accuracy and consistency of data
• Consistently delivering high-quality data models, easy-to-interpret visuals, and reports that demonstrate a strong understanding of business needs
• Apply statistical methods to dissect and interpret data to aid in product feature evaluation
• Synthesize information from diverse sources and connect insights directly to business outcomes
• Regularly reporting outcomes and insights to stakeholders across Relay

Data Analyst, Product

• Provide strategic marketing and business analytics support for suite of programs and projects in portfolio.
• Strategically collaborate and consult with cross functional business leads using data analysis to influence critical decisions, shape strategy and tactics, ultimately contributing to the strategic direction of programs and projects.
• Develop evaluation frameworks for program strategies, aligning data insights with program goals to assess performance, drive continuous improvement and maximize fundraising impact.
• Collaborate with business leads to create accurate forecasts/reforecasts to support their budget development and program optimization.
• Drive campaign improvements by connecting drivers of future donor trends to historical behaviours, creating risk modules and test hypothesis using rigorous and complex analysis.
• Enhance, improve and/or create scalable measurement frameworks for program success, supported by self-service visualization tools that enable real-time insights and data-driven decisions, allowing program leads to optimize resource allocation for greater effectiveness.
• Lead donor behaviours analysis and segmentation, collaborating with senior leaders to improve engagement, acquisition, retention and value maximization of different donor segments.

Senior Manager, Marketing Analytics – Lottery

• Work closely with business partners to identify complex business problems to solve and provide data driven solutions.
• Analytic work from requirements specification, data gathering, analysis to presentations in order to solve business problems.
• Work with stakeholders across Sun Life as a subject matter expert in the prospect, client, and advisor data
• Ongoing support to uncover opportunities that will drive incremental sales.
• Develop metrics and KPIs to measure the performance of analytical and data products in the overall portfolio.
• Provide support for annual business plan, monthly sales forecast, and insight analysis.
• Operationalize reporting processes and synthesize key metrics into impactful and insightful dashboards to monitor and assess the success of the business initiatives/performance.
• Perform reporting automation, self-serve analytics enablement, and promote the culture of analytics-driven decision making.

Senior Data Analyst, Client Acquisition Analytics

• Play an integral role in our delivery practice as we execute on enterprise level engagements through our various industry specializations
• Engage directly with clients and drive the implementation and successful end user experience of analytics solutions
• Analyze business processes and requirements, and assist in maintaining documentation including requirements, design, and user documentation
• Develop and manage Analytics solutions as part of client data solutions

Data & Analytics Intern

• Create and support repeatable, robust process to identify Data Elements that are most critical and has the highest impact on RBC’s key processes
• Seek out industry trends and organizational knowledge to understand alternative approaches / solutions to propose viable options
• Engage Data Domain stewards and Business Unit leadership to identify and define key business processes and prioritization and identification of critical reports
• Support other Data Management activities
• Identify, capture and curate metadata associated with CDEs for U.S. key regulatory reports
• Communication and Documentation
• Manage and report on work status, including escalating execution risks in a timely manner
• Gain and apply an in-depth understanding of data management, data governance, and metadata tools and systems to support the definition and documentation of effective data elements

Data Prioritization Analyst

• Finalizing nELISA data reports
• Creating visualizations for data
• Ensuring the seamless delivery of projects to Nomic customers
• Regular customer interactions and meetings
• Supporting customers during onboarding and addressing ongoing questions
• Gaining insights into customers’ research questions and relaying to product team

Customer Success Data Analyst

• Gather, clean, and maintain large volumes of contact centre data to ensure accuracy and usability for reporting, analytics, and AI-enabled tools.
• Analyze operational data to identify trends and opportunities for improvement.
• Define and monitor analytics and AI performance metrics.
• Integrate data from CXone and ServiceNow to provide a comprehensive view of client journeys and service interactions.
• Develop and automate dashboards and reports that deliver actionable insights.
• Communicate findings clearly to stakeholders and work closely with technical teams on platform enhancements, agile projects, and continuous improvement initiatives.

• Analyze customer behaviour and work with marketing leads to develop and implement supporter segmentation and communication strategies and tactics
• Evaluate tactics and develop data insights to identify opportunities to improve supporter communication, upgrade, cross-sell, retention and lifetime value
• Intake analytics and reporting requests, including documenting requirements, metrics and dimension definitions, mock ups and robust documentation while tracking in task management platform
• Ensure the accurate completion of daily, weekly and campaign performance reports, as well as automated reports and dashboards using BigQuery, PowerBI, Salesforce Marketing Cloud, Google Analytics, Social and Paid Digital channels amongst other data sources
• Collaborate in the planning, execution and evaluation of the Foundation’s multi-channel Direct Marketing campaigns
• Manage the marketing campaign calendar ensure critical dates related to data operations are met
• Provide data and insights to support the development of program leads’ annual and short-term plans, forecasts and budgets

Analyst, Constituent & Marketing Analytics

• Create and publish reports
• Monitor, identify, and analyze trends, explaining outliers and providing influential feedback related to results and productivity
• Consolidate data from various sources, ensuring data is clean
• Build and maintain an inventory of data and support the monitoring of KPIs
• Proactively identify new data elements that may provide further insight into performance or business trends
• Analyze and present information clearly and concisely to diverse audiences within the organization
• Create and maintain effective documentation to assist in training and reinforcement of workflows & best practices, and to satisfy audit protocol
• Conceptualize, develop, and implement technical solutions to meet the evolving needs of our partners
• Work in collaboration with project team members, leading the development of new reports using PowerB and Excel
• Support ad hoc reporting as new needs arise
• Proactively identify new data elements that may provide insight into performance.

Data Analyst II

• Translate product management, engineering, and business questions into structured analytical approaches, applying appropriate statistical, experimental, and data science methods to measure product performance and guide decision-making
• Own data quality of ZestyAI data products
• Spearhead product monitoring and quality assurance by designing and owning dashboards and KPIs
• Develop automated ETL and data workflows
• Iterate rapidly on everything; all of the above happens in a fast-paced business-driven environment that you must be comfortable with

Data Scientist, Analytics

• Support the annual budget, quarterly forecasts, and long-range planning processes.
• Assist in analyzing financial results and business performance across multiple entities and business units.
• Develop and maintain Power BI dashboards and performance reporting tools.
• Explore and implement practical uses of AI within Finance and FP&A processes.
• Prepare monthly, quarterly, and annual management reporting packages.

Junior FP&A, Data Analyst

• Conducting research and literature reviews related to statistics, probability theory, risk measurement, and quantitative analysis
• Supporting the testing, evaluation, and enhancement of analytical models and risk measurement methodologies
• Performing exploratory data analysis, hypothesis testing, simulation modelling, and quantitative research
• Assessing model performance through sensitivity testing, scenario analysis, and analytical validation techniques
• Collecting, cleaning, validating, and analyzing large and complex datasets

Quantitative Risk Analyst

• Lead the Canadian analytics team (4 Analysts) supporting the Claims National Supply Chain, partnering closely with cross-functional teams to turn data into actionable insight to drive decision making.
• Lead and develop a high-performing analytics team : set standards for analysis quality, visualization, documentation, and stakeholder service
• Own supply chain analytics & reporting : oversee national reporting needs and ensure consistency, accuracy, and clarity
• Drive cross-functional alignment : partner with Operations, Vendors and Finance to align priorities and deliverables; reduce silos and improve ways of working
• Translate complex data into recommendations : deliver insight-driven guidance to leadership; define and standardize KPIs and support performance measurement
• Continuous improvement mindset : iterate on tools, data pipelines, dashboards, and processes to increase adoption and impact
• Executive-ready storytelling : present insights that support strategic decisions and influence senior stakeholders

Manager, Supply Chain Analytics

• support project staff in entering and maintaining resource demand data
• prepare reports on staff availability
• assist with the preparation of weekly reports using Excel and Power BI
• analyze resource demand data to identify variances
• support cost analysts in the preparation of cost estimates and cost input data for projects and bids
• assist Business Analysts, Cost Analysts, and Management with ad hoc reporting and data analysis activities

Cost and Data Analyst, Student – Fall

• Extract, transform, and analyze fleet‑scale manufacturing, testing, deployment, and operational data using advanced SQL (DML).
• Understand and translate manufacturing, quality, and reliability concepts into measurable, data‑driven solutions and KPIs.
• Perform statistical analysis on manufacturing test data to ensure data integrity, reliability, and readiness for automation and root‑cause analysis.
• Continuously provide feedback upstream to improve data quality, coverage, and performance.
• Identify and implement opportunities to automate manual workflows using AI and advanced analytics.
• Develop AI‑driven recommendation systems for data standards, anomaly detection, intelligent data mapping, and quality insights.
• Support the integration of AI and ML services (e.g., Vertex AI, LLMs) into analytics workflows and intelligent applications.
• Partner with engineers and product teams to embed AI capabilities into hardware NPI and manufacturing processes.
• Design, develop, and maintain interactive dashboards and reports using Looker Studio, Tableau, Power BI, or equivalent tools.
• Visualize manufacturing performance, data quality scores, operational metrics, headcount status, and organizational spending.
• Prepare executive‑level summaries and presentations that distill complex technical data into clear, actionable insights.
• Provide leadership with real‑time, decision‑ready visibility into manufacturing and operational health.
• Interact professionally with engineers, product owners, suppliers, and subject‑matter experts across manufacturing, quality, IT, and operations.
• Provide technical guidance to suppliers and engineering teams on optimal data collection, standards, and data warehousing solutions.
• Support multiple parallel initiatives by tracking progress, identifying risks, and escalating delivery impediments when needed.
• Facilitate change management through documentation, communication plans, and process training.

• Support the execution of international data initiatives by enabling data-driven decision making.
• Help translate business needs into analytical solutions and monitor operational performance.
• Provide actionable insights through reporting and scorecards across different global markets.

International Data Analyst

• Act as the primary integrator between Technical Data, ILS, Supply Support, Life Cycle Material Managers (LCMMs), and Engineering departments.
• Identify and resolve part changes within the Technical Data Package (TDP).
• Manage the full lifecycle of Document Change Requests (DCRs) via a JIRA board.
• Ensure total data alignment across internal and government systems.
• Conduct deep-dive audits of the TDP to ensure National Stock Numbers (NSNs), part numbers, and vendor references are current.
• Perform hands-on updates to technical documentation to reflect the as-supported fleet configuration.
• Resolve technical discrepancies between engineering drawings and procurement/cataloguing systems.
• Manage and maintain a dedicated JIRA board to track technical changes.
• Coordinate DCRs from identification through approval and implementation by obtaining required inputs from LCMMs and Engineering.
• Identify and resolve process bottlenecks to advance stalled requests.
• Reconcile data between Maximo and DRMIS to ensure consistency.
• Execute high-accuracy data entry and maintenance within Maximo to support maintenance and supply activities.
• Maintain accurate supply support records derived from LSA data.
• Interface with the Canadian Government Cataloguing System (CGCM/CGCS) to resolve cataloguing discrepancies and facilitate new NSN assignments.
• Utilize Excel (VLOOKUPs, Pivot Tables) to conduct mass data cleanses and identify trends.
• Develop and maintain Power BI dashboards to provide visibility into part changes and obsolescence risks.
• Leverage Microsoft Access to manage complex datasets requiring structured, searchable records.
• Proactively identify parts approaching end-of-life and collaborate with the Obsolescence department to identify and catalogue suitable alternatives.

Maximo Technical Data Package Analyst

• Analyze existing workflows to extract complex business transformation rules
• Create the Source-to-Target Mappings (STM) that developers will use to build in Microsoft Fabric
• Understand how the Cognos package is constructed to identify how we migrate to Power BI, including legacy Cognos reports
• Use Postman and your understanding of REST APIs to facilitate discussions between the business and developers regarding modern data integrations
• Translate high-level business needs into technical User Stories and Acceptance Criteria in Jira
• Lead User Acceptance Testing (UAT) to ensure that the data landing in Fabric matches the legacy Informatica/Cognos outputs perfectly

Senior Business Analyst, Data & Analytics, Data Transformation, Migration

• Analyze player behaviour and product changes across the entire lifecycle (onboarding, retention, monetization, progression, LiveOps, and game economy health).
• Run deep-dive funnel, cohort, and segmentation analyses to identify friction points, drop-offs, and player spending patterns.
• Translate ambiguous product questions into structured analyses, clear findings, and actionable recommendations.
• Work hands-on with our AWS-based analytics stack (S3, Athena, DBT, Prefect) to create, maintain, and optimize robust ETL pipelines.
• Write cost- and performance-aware SQL to build analytical views that make core datasets accessible to the wider team.
• Proactively QA data pipelines and telemetry, identifying broken tracking, inconsistent definitions, or anomalies in event volume.
• Partner with Product, Engineering, and Design to architect tracking plans and define data telemetry before new features launch.
• Support the end-to-end design, success metric definition, and post-analysis of A/B tests and feature experiments.
• Leverage modern AI development tools to accelerate your SQL/Python scripting, workflow automation, and documentation.
• Build reusable notebooks, scripts, and analytical workflows to scale insights across our small, remote-first studio.

Game Product Analyst, Analytics – AI

• Generate policy-relevant analytical outputs on learning quality and equity using AMPL datasets, working together with country teams as co-authors.
• Strengthen national capacity to independently apply advanced statistical methods to learning assessment data in selected countries.
• Implement a six-month phased programme combining structured training, hands-on application and technical mentoring, centred on two in-person workshops.
• Assess the availability and readiness of AMPL datasets and develop a common analytical framework addressing key policy questions on learning outcomes, equity and school/system-level effects.
• Prepare training materials covering advanced statistical methods supported by practical tools such as annotated code and replicable templates.

Data Analyst jobs in Canada

See all jobs on JobTailor

Data Analyst, Product

Senior Manager, Marketing Analytics – Lottery

Senior Data Analyst, Client Acquisition Analytics

Data & Analytics Intern

Data Prioritization Analyst

Customer Success Data Analyst

Data Analyst

Analyst, Constituent & Marketing Analytics

Data Analyst II

Data Scientist, Analytics

Junior FP&A, Data Analyst

Quantitative Risk Analyst

Manager, Supply Chain Analytics

Cost and Data Analyst, Student – Fall

Data Analyst

International Data Analyst

Maximo Technical Data Package Analyst

Senior Business Analyst, Data & Analytics, Data Transformation, Migration

Game Product Analyst, Analytics – AI

Consultant, Advanced Analysis of Learning Assessment Data