Top Data Analyst Jobs in Ottawa

The Staff Data Analyst will lead compliance analytics efforts, develop data strategies, and communicate insights related to compliance and regulatory engagements, focusing on the financial crimes and AML domain.

The Data Analyst will analyze hiring data to improve recruitment strategies, inform decisions, and enhance the quality and efficiency of hiring processes.

The Data Analyst will oversee data research projects, implement data reporting best practices, analyze marketing campaign effectiveness, and provide insights to drive growth for Canadian digital identity.

The Data Analyst supports Customer Operations by creating dashboards and reports, developing SQL queries, and facilitating decision-making through analysis.

Collect, clean, and analyze product data to generate reports and dashboards (KPIs: engagement, retention, adoption). Provide exploratory analyses, visualizations, and actionable insights to product teams, ensuring data integrity and supporting product decisions.

Own and improve Hive's Snowflake/dbt/Metabase analytics stack as a solo analyst: build and maintain dashboards, partner with leaders, perform ad-hoc SQL analyses, support operations, and present insights to technical and non-technical stakeholders.

The Data Analyst for Risk will analyze and report on fraud and risk data, develop insights, build dashboards with Looker, and improve risk processes.

The Staff Data Analyst will enhance data quality across Engineering and Research, lead cleanup efforts, utilize data extraction tools, and translate findings into actionable insights for diverse audiences.

Partner with Product leadership to build and maintain Snowflake-based analytics models, run behavioral and funnel analyses, design experiments, and develop predictive models to inform product decisions and roadmap execution.

Build and maintain a unified marketing performance dataset, design and QA data pipelines, create self-serve dashboards and forecasting tools, analyze acquisition efficiency and CAC/LTV, support marketing and finance with reconciliations, and provide data-driven insights for growth strategy and spend optimization.

Analyze player behavior and drive product innovation through data-driven insights. Collaborate with teams to design and evaluate experiments, maintaining data quality and delivering meaningful insights.

The Sr. Data Analyst will deliver actionable insights, develop predictive models, build dashboards, and work with stakeholders to drive revenue through data-driven solutions in a rapidly growing startup.

The Senior Analyst for Sales will collaborate with sales leadership to improve sales performance, develop reporting tools, and oversee key sales metrics using SQL and Looker.

As a Data Analyst, you will optimize the reporting ecosystem, focusing on SSRS and Power BI, ensuring data accuracy and driving modern analytics adoption.

As a Data Analyst in Business Intelligence, you will analyze data, develop insights, and provide recommendations to assist internal teams and improve decision-making processes within StackAdapt's advertising platform.

As a Data Analyst at Stripe, you'll build data products, metrics, and dashboards, analyze large datasets, and communicate insights to drive business decisions.

The Robot Data Operations Analyst will control robots, evaluate performance, provide quality assurance, and document observations safely in an R&D setting.

The Data Analyst will engage in preparing and understanding data for predictive modeling, collaborate with cross-functional teams, create datasets, and manage data assets with an aim to innovate and drive productivity.

Analyze large datasets to derive insights, create dashboards, conduct A/B tests, and collaborate with teams to enhance player experiences.

Lead product analytics end-to-end: own event taxonomy and instrumentation quality, analyze funnels/retention/cohorts, design A/B tests, build dashboards, and translate insights into product decisions to drive user growth and monetization.

Serve as a strategic analytics partner to Finance and Music Operations. Lead end-to-end analytics: data modeling, complex SQL, dashboarding in Sigma, data quality, and governance. Deliver executive insights on revenue, streams, royalties, and artist/catalog performance to drive data-informed decisions.

Lead GTM and servicing analytics to build a Customer 360 view. Integrate marketing, sales, product, and servicing data to model journeys, measure campaign impact, build dashboards and data models, surface actionable insights to improve acquisition, onboarding, retention, and mentor junior analysts in SQL and best practices.

The Senior Data Analyst will enable strategic decision-making through data analysis, reporting, and collaboration with stakeholders to ensure high-quality data integrity.

The Sr. Data Analyst will support the Customer Success leadership team through reporting, analytics, and process design to drive business growth and operational efficiency.

The analyst will perform data mining, conduct research on backgrounds, prepare visual aids, and analyze patterns for investigations into insurance fraud.