Data Analyst

• Conducting full lifecycle analysis, including requirements gathering, activities and design
• Developing analysis and reporting capabilities, monitor performance, and identify quality control improvements
• Working closely with the Principal Client Solutions Architect, Product, Support and Technical Services to build and deploy the first five use-case dashboards for new clients within their first six months to secure initial ROI
• Owning the technical configuration for high-stake evaluations and expansion opportunities to prove product value before contracts are signed
• Analyzing and interpreting trends or patterns in complex data sets to identify and define opportunities to improve data quality and quantity
• Preparing detailed analysis and present recommendations for improvement to team members and management and work with leadership to help prioritize data improvement initiatives
• Triaging incoming data investigations using standardized procedures, investigating issues, developing acceptance criteria for fixes, and evolving data quality reports with standardized health metrics
• Creating a library of repeatable builds, templates, and step-by-step guides to teach the organization what success looks like, improving overall delivery speed

Senior Data Analyst

• As part of the Chief Data Office (CDO), we're seeking a detail-oriented Senior Analyst to support the development, maintenance, and delivery of reporting solutions.
• The Senior Analyst of Data Insights & Analytics within the Business Optimization & Strategy team will build and enhance dashboards, ensure data quality, and work closely with business users to translate their needs into clear, actionable insights.
• Build new dashboards and reporting solutions that address business needs and stakeholder requirements.
• Maintain and enhance existing reporting dashboards to ensure they remain accurate and relevant.
• Collaborate with business users to understand requirements and translate them into effective visualizations.
• Support the continuous improvement of reporting tools and platforms.
• Manage data validation and quality checks across reporting systems.
• Conduct user acceptance testing (UAT) when new data sources or systems are integrated.
• Identify, investigate, and resolve data issues and report discrepancies.
• Proactively communicate data quality findings to stakeholders.
• Create and distribute monthly and quarterly business-as-usual (BAU) reporting on schedule.
• Ensure timely and accurate delivery of reporting according to defined SLAs.
• Support ad hoc reporting requests to address emerging business needs.
• Track and maintain reporting schedules and delivery status.
• Create and maintain clear reporting documentation, data dictionaries, and system guides.
• Develop communications to support reporting launches, updates, and user adoption.
• Gather and analyze business requirements to inform reporting solutions.
• Help translate business questions into technical reporting specifications.

Senior Analyst, Business Optimization – Data Analytics, Insights

• Consult with internal and external data requestors to clarify data needs, advise on administrative health data and recommend methodologically sound solutions.
• Extract, transform, and de-identify data using tools such as SAS, SQL, R, Snowflake, and Python, ensuring compliance with privacy legislation.
• Collaborate with virtual teams, data units, and research groups to support high-impact projects and improve data access processes.
• Perform quality assurance, conduct basic statistical analysis, and create reports or visualizations as needed.
• Contribute to internal knowledge sharing and continuous improvement initiatives.
• Participate in user acceptance testing and development of new data views to streamline future data access.

Research & Data Analyst

• Lead the creation & development of a standard library of reporting and/or analysis solutions (report, dashboard, visualization, or other) for Data Sciences and other stakeholders.
• Gather requirements from a cross-functional group to a particular study question or operational activity.
• Build & configure solution to meet the requirements.
• Lead validation activities to prepare reporting solutions for release/usage.
• Gather (as needed) and collaborate with volunteer stakeholder group to support validation activities.
• Contribute to the Data Standards Governance Committee (DSGC) for the management of standard reports.
• Maintain ongoing updates to standard report templates.
• Support training for the Data Sciences team of new standard reports/solutions.
• Deploy standard reporting solutions for use on a study-specific basis.
• Create & develop ad hoc reporting and/or analysis solutions – report, dashboard, visualization, or other – as requested by study team members.
• Gather requirements from study team member(s) for ad hoc solutions.
• Build & configure ad hoc solutions to meet the requirements.
• Support report requestor in validation activities of study-specific ad hoc solutions to prepare for release/usage.
• Support long-term maintenance of study-specific solutions and contribute to investigating issues, as raised by study team members.
• Identify requirements with Data Sciences leaders to measure & monitor operational and performance metrics.
• Design, build, and maintain metrics governance within Data Sciences.
• Work with large data sets to analyze operational & study data and deliver reporting that outline areas for process & performance improvement/optimization (inefficiencies, inaccuracies, and other issues) to Data Sciences leadership.
• Participate in the strategy, management and integration of data reporting systems that impact Data Sciences, including the assessment, integration, build of vendor systems and Alimentiv technologies.
• Act as a technical system subject matter expert; perform validation and testing of systems.
• Help gather and determine requirements for relevant technical systems, with cross-functional groups or other Business/Process analysts. Work closely with other technical roles (Data Management, Database Programming, Statistics, Enterprise Analyses, etc.) to drive data governance and excellence.
• Assess ways to further leverage existing systems to optimize internal efficiencies and processes.
• Support Data Sciences contribution to a Data Warehouse, contributing to key decisions and strategy.
• While evaluating new projects or requests for enhancements, help determine the project cost, timeline, goals and feasibility and then support the project through completion.

Clinical Data Analyst

• Produce weekly, monthly and quarterly sales reports — performance by sector, new customer acquisition, account activity and pipeline status
• Create and maintain dashboards that provide sales leadership with a clear, real-time view of team performance
• Identify trends, variances and business opportunities from data and proactively communicate findings
• Support day-to-day CRM and related tool management: structure, workflows, automations and integrations
• Maintain tracking sheets, pipelines and dashboards that reflect the sales team’s ways of working
• Ensure data accuracy and integrity across all reporting systems
• Conduct regular audits and identify discrepancies to ensure accurate data entry
• Understand the team’s sales technology ecosystem, proactively identify opportunities to integrate AI into existing workflows and recommend new tools
• Identify inefficiencies in sales processes and propose solutions or automations to address them
• Work closely with sales support team members and other departments to ensure alignment of sales activities, tools and processes
• Track and report on incentive programs, goal attainment and key performance indicators (KPIs) against established targets
• Support quarterly business reviews with data and analysis
• Assist with territory design, account segmentation and route optimization
• Onboard new sales representatives on platforms and ensure consistent usage across the team
• Serve as an internal point of contact for CRM-related questions, system issues and process improvements
• Support other departments with sales-related data and reporting requests as needed

Sales Operations & Analytics Specialist

• Conduct problem research, deep-dive analysis, and advanced analytics.
• Design high-impact reports and visuals to tell compelling data stories.
• Tackle complex challenges and enable data solutions using standard and advanced analytics.
• Design and implement experiments that influence customer experience.
• Build and maintain scalable reporting and machine learning models.

• Contribute to compensation activities including job leveling, market matching, and career framework support, applying AI-assisted tools where appropriate to accelerate analysis and improve consistency.
• Support the setup and execution of annual compensation review cycles within compensation tools and People systems, identifying opportunities to automate or streamline manual steps.
• Support salary benchmarking and analyse internal compensation data, participating in external remuneration surveys to support market competitiveness and internal equity.
• Support compensation processes across multiple regions, ensuring alignment with local market practices.
• Identify opportunities to improve reward processes through automation, AI tooling, and workflow redesign, and contribute to the development and maintenance of SOPs.
• Lead the administration and ongoing maintenance of bonus and incentive plans, including eligibility, targets, performance measures, and payout calculations.
• Contribute to the development of scalable, AI-enabled self-service tools and resources that help leaders and employees better understand reward philosophy, pay decisions, and career frameworks.
• Support pay equity analyses and audits to ensure fair and consistent compensation practices.
• Ensure reward and benefits practices comply with relevant legislation, internal policies, and governance frameworks across multiple regions.
• Build and maintain scalable dashboards and reporting solutions for headcount, compensation, and workforce insights.

Total Rewards – Analytics Specialist

• Advanced data collection, cleanup, and analysis of healthcare and population data.
• Act as a subject matter expert on data sets managed by the Data Analysis (DA) team.
• Utilize domain-specific knowledge to stay apprised of shifting payer landscape to ensure Policy Reporter’s (PR) data remains accurate and up to date.
• Promote data democratization across the organization by building SQL queries and BI dashboards that detail customer utilization and report regularly to internal teams and leadership.
• Take lead on new initiatives including data mining and writing R scripts to expedite DA tasks.
• Build and maintain BI dashboards in Amazon Quick Sight.
• Represent the DA team and take lead on analytics on interdepartmental projects, with support from team lead.
• Contribute to the presentation of deliverables to clients, both in written and verbal form.
• Use statistical and analytical knowledge to improve the quality of client deliverables.
• Scope, map out and document processes for new and recurring DA work.
• Build key data sets to enable operational and exploratory analysis.
• Work with Sales, Research, Product & Engineering Teams to improve the utility of the information stored within our database.
• Proactively look for ways to improve the quality of our datasets.
• Collaborate with internal teams to set standards for data processes within the company.
• Communicate narratives with data to many audiences, ranging from product managers to technical leads.
• Work with the Engineering team to support process improvements by acting as the DA subject matter expert.

Contractor, Statistical Healthcare Data Analyst

• Build and maintain dashboards and reporting solutions across multiple business functions including Sales, Customer Success, Marketing, Product, and Engineering
• Perform ad-hoc analysis and exploratory user behavior analysis to uncover trends, opportunities, and actionable insights
• Own data pipelines from ingestion and transformation through modeling and analytics delivery
• Design, build, test, and release scalable analytics solutions using a variety of data sources
• Collaborate with stakeholders to gather requirements and translate business needs into measurable solutions
• Break down high-level initiatives into manageable epics, stories, and tasks for execution and tracking
• Organize and maintain Jira backlogs, ensuring priorities and deliverables remain aligned across teams
• Lead sprint planning activities and support agile delivery processes
• Ensure data quality, consistency, and integrity through best practices in data collection, validation, and analysis
• Identify and resolve data discrepancies and process gaps proactively
• Mentor and support junior analysts by sharing technical expertise, best practices, and collaborative problem-solving approaches
• Maintain clear and up-to-date documentation for analytics processes, workflows, and systems

Data Analytics

• Own TapClicks setup and dashboards; automate, standardize, and QA reporting for media KPIs, conversion trends, and ROI across clients.
• Deliver actionable insights for planning, optimizations, Monthly Web Ops (top pages, CRO snapshot, behavior trends), and QBRs.
• Lead GA4/GTM architecture, audits, and ongoing QA; implement and troubleshoot tags, pixels, and integrations.
• Own the CRO roadmap; design, run, and analyze A/B and multivariate tests across ads, landing pages, and funnels.
• Perform deep-dive analysis to identify performance drivers and growth opportunities; translate findings into clear, client-ready recommendations.
• Establish and enforce QA for tags, dashboards, reports, and GA4 events; validate tests pre-launch.
• Present analytics insights, CRO results, and testing roadmaps in client meetings and QBRs; align with media strategy.

Fractional Media & Web Analytics Manager – 20 hrs/week

• Partner with stakeholders to understand business needs and translate them into data, reporting, and analytics solutions
• Design, develop, and deliver reports and dashboards to support operational performance, KPIs, and strategic decision-making
• Analyze large and complex datasets to identify trends, insights, and opportunities for improvement
• Create and maintain data models and reporting frameworks to enhance data quality and accessibility
• Develop Tableau visualizations and dashboards to communicate insights in a clear and actionable way
• Support ad hoc data requests, providing timely and accurate analysis to stakeholders
• Identify and contribute to process improvements and system enhancements
• Collaborate on cross-functional projects, supporting business initiatives and data-driven strategies
• Ensure data integrity, accuracy, and consistency across systems and reports

Business Data Analyst

• Lead the design of end-to-end analytics and business solutions that address complex challenges and align with organizational priorities
• Conduct advanced requirements analysis, translating business needs into scalable, high-performing solutions
• Partner with business and technical teams to design, validate, and implement solutions, ensuring alignment with strategy
• Develop and deliver insightful reports and dashboards (e.g., Tableau) that drive data-informed decision-making
• Define and standardize KPIs, metrics, and reporting frameworks to support operational and strategic goals
• Ensure accuracy, usability, and alignment of analytics outputs with business objectives
• Act as a trusted advisor to senior stakeholders, facilitating discussions and influencing key decisions
• Lead and participate in workshops, strategic initiatives, and high-impact projects
• Mentor and support junior analysts, promoting best practices in business analysis, data modelling, and reporting
• Contribute to process improvement initiatives and strategic planning efforts
• Define and document data requirements, mappings, and semantic models for analytics solutions
• Collaborate with data teams to ensure data quality, integrity, and governance standards are upheld

Senior Business Data Analyst

• understand customer needs, behaviors, and experiences to generate ideas
• identify opportunities to develop new offerings or enhance existing ones
• recommend strategic adjustments to the Beyond Road Business Line’s go-to-market strategy
• define, design, and deploy market research and/or customer insights studies
• challenge existing research practices and identify opportunities for new research methods
• conduct ad hoc analyses to gather insights on behaviors, usage patterns, needs, expectations
• collect and structure quantitative and qualitative data
• develop tracking dashboards and identify data-driven growth opportunities

Consumer Insights Analytics Manager

• Responsible for the maintenance analytical solutions for the Sun Life High Net Worth team
• Maintain existing reports, dashboards and documentation
• Participate in a range of data and analytics initiatives across Sun Life High Net Worth by supporting testing and validation activities

Student Data Analyst, Fall 2026

• Own end‑to‑end analytical domains across FinOps, including data sourcing, modeling, and outputs
• Consolidate multiple financial and technology data sources into single, consistent analytical views
• Develop, maintain, and enhance financial, cost, and unit‑economics models
• Deliver executive‑ready analytics and insights to support decision‑making
• Define and maintain data quality, validation, and analytical standards
• Partner with Finance, Technology, and Business stakeholders to align metrics, assumptions, and definitions
• Support continuous improvement of FinOps analytical capabilities and tooling

Senior Financial Data Analyst – FinOps

• Lead the design and delivery of end-to-end analytics solutions, from raw data acquisition and transformation through to dashboarding, business insight generation, and user adoption
• Translate complex business questions into scalable data, reporting, and analytical solutions
• Ensure analytics outputs are accurate, well-governed, and aligned with business priorities
• Work with raw and curated data from multiple internal and external sources to create scalable, high-quality datasets for reporting and analysis
• Write and optimize SQL queries in Snowflake and other cloud-based environments
• Partner with data engineering and data squad teams to improve data pipelines, controls, and analytical data models
• Lead the design and implementation of high-impact Power BI dashboards for portfolio managers, actuaries, finance, risk, and senior leadership
• Develop forecasting and modeling solutions to support business needs, including balance sheet analysis, inflow/outflow projection, and related decision-support analytics
• Partner with senior stakeholders across investment, actuarial, finance, risk, and product teams to identify opportunities where analytics can drive better decision-making
• Help build a strong analytics culture grounded in curiosity, ownership, and practical problem-solving.

Manager, Data Analytics

• Work within a dynamic environment where you are encouraged to aid in process improvement and work with autonomy.
• Develop and Review processes and procedures
• Support and assist with new and renewal licensing applications
• Create and maintain all client and licensing records in applicable systems
• Collaborate and support the Channel Design and Initiative Delivery team on projects impacting the group distribution channel
• Review and clean up data within the Salesforce platform to improve platform efficiency
• Perform data classification review and updates for Insurance's applications/systems
• Gain hands-on exposure to the processes involved in transitioning products from development to production, including release planning, UAT (User Acceptance Testing), and post-production validation.
• Design and implement data-driven solutions to support the CIO office's strategic initiatives.
• Ensure alignment with the Enterprise data classification as outlined in the Enterprise Data Security Standards.
• Actively participate in the development and/or monitoring of controls to support compliance requirements and risks identified.
• Document processes or upgrade existing procedure manuals.
• Collaborate with internal teams, including IT, operations, and product development, to ensure timely resolution of issues and continuous improvement of applications.

Business and Data Analyst, Insurance

• Assist in the development and delivery of data product solutions including building, customizing, and management of data pipelines, data integration tools, databases, data warehouses, and analytical systems
• Lead “data hygiene” effort in on our CRM system to ensure accurate quality data
• Develop and maintain data pipelines for extracting, transforming, and loading data across SQL Server, SAS, and Snowflake
• Write efficient SQL queries and Python scripts to automate workflows and ensure data quality
• Use in-house applications to process trades and monitor settlement workflows
• Leverage tools such as Eagle, Charles River, Bloomberg, and Excel for data analysis and reporting
• Support testing requirements for data products and services including testing automation
• Support the development and execution of strategic initiatives in collaboration with internal and external stakeholders using our software development life cycle (SDLC)
• Design, develop, implement, and support our emerging big data analytics capabilities through the development and maintenance of advanced data ingestion, processing, modeling and reporting capabilities
• Process security, product and employee set up on Eagle system
• Collaborate with engineers, analysts, and AI practitioners to prepare high-quality data for advanced analytics and business use cases
• Review data quality monitors daily and address data quality issues with data stakeholders
• Analyze data and data workflows to improve data quality
• Work with cloud platforms (AWS, Azure, GCP) to deploy and manage data infrastructure

Wealth Management, Fall Data Analyst

• The AVP, Data Analytics for Canadian Operations represents a strategic opportunity to lead and transform the data analytics function for Canadian Operations.
• Develop and maintain comprehensive data analytics strategy aligned with Canadian Operations objectives, balancing quick wins with long-term capability building.
• Evaluate and prioritize analytics opportunities to maximize business value and drive thought leadership in data-driven problem solving.
• Partner with Sun Life Canada’s Client Experience Office to align with overall Canada data and analytics strategy.
• Establish metrics and KPIs to measure analytics function performance and business impact.
• Maintain existing data infrastructure while leading transformation initiatives to modernize architecture and adopt cloud-based solutions.
• Implement robust data governance framework ensuring quality, accuracy, compliance, and audit-proof processes for internal and external stakeholders.
• Develop and enforce standards for data management, documentation, and controls.
• Lead BI function delivering timely, actionable insights through operational dashboards, scorecards, and trending reports.
• Manage reporting intake and prioritization from diverse stakeholders while creating self-serve analytics capabilities for power users.
• Transform complex operational data into clear visualizations supporting executive reporting and strategic planning.
• Partner with Data Science team in CXO and other analytics partners to leverage common capabilities and drive innovation.
• Apply AI, machine learning, and predictive modeling to operational challenges, proactively identifying automation and optimization opportunities.
• Develop and operationalize predictive models for capacity planning, volume forecasting, and demand management.
• Lead, coach, and develop diverse team, fostering high-performing culture focused on collaboration and innovation.

AVP, Data Analytics & Insights

• Are you passionate about using data and emerging technologies to improve public services? This role puts analytics and innovation at the heart of GoA contact centre operations.
• Reporting to the Manager, Contact Centre Business Support, the Data Analyst gathers, cleans, and maintains large volumes of contact centre data to ensure accuracy and usability for reporting, analytics, and AI-enabled tools.
• Enhancing the contact centre and reporting platforms, analyzing operational data to identify trends and opportunities for improvement, and defining and monitoring analytics and AI performance metrics.
• Developing and automating dashboards and reports that deliver actionable insights, communicating findings clearly to stakeholders, and working closely with technical teams on platform enhancements, agile projects, and continuous improvement initiatives.

See all jobs on JobTailor

Senior Data Analyst

Senior Analyst, Business Optimization – Data Analytics, Insights

Research & Data Analyst

Clinical Data Analyst

Sales Operations & Analytics Specialist

Senior Data Analyst

Total Rewards – Analytics Specialist

Contractor, Statistical Healthcare Data Analyst

Data Analytics

Fractional Media & Web Analytics Manager – 20 hrs/week

Business Data Analyst

Senior Business Data Analyst

Consumer Insights Analytics Manager

Student Data Analyst, Fall 2026

Senior Financial Data Analyst – FinOps

Manager, Data Analytics

Business and Data Analyst, Insurance

Wealth Management, Fall Data Analyst

AVP, Data Analytics & Insights

Contact Center Platform Data Analyst