Top Analytics Jobs in Ottawa

Own regulatory analytics and reporting by building audit-ready datasets, pipelines, dashboards, compliance metrics, and automated workflows. Analyze complex data, monitor quality, support audits and regulatory exams, and deliver actionable insights to compliance teams and leadership. Translate regulatory requirements into accurate reports using Python, SQL, dbt, and Airflow while partnering cross-functionally to manage data issues and remediation.

The Product Manager oversees product lifecycle, collaborates with teams, prepares market analyses, communication strategies and executes product roadmaps to ensure product success.

Own the design and implementation of core systems for a pre-production F2P mobile live-service game. Responsibilities include progression, combat scaling, economy, rewards, loot tables, tuning tools, simulations, and in-engine implementation. The role collaborates with gameplay, combat, engineering, and production teams; documents systems; analyzes playtest and analytics data; and iterates toward shippable, scalable systems.

Manages the talent acquisition technology stack, including ATS and CRM systems; maintains data integrity and governance; optimizes recruiting processes; manages vendors; leads technology implementations and change management; develops recruiting dashboards and reports; analyzes funnel metrics; and provides strategic recommendations and forecasting insights to improve hiring speed, quality, cost, and candidate experience.

Lead a GTM Analytics team supporting Marketing, Sales, RevOps, and Customer Operations. Manage embedded analysts, establish trusted reporting and QA processes, review SQL and dashboards, guide funnel, campaign, sales, support, forecasting, segmentation, attribution, and experimentation analysis, and deliver executive recommendations. Partner with GTM leaders and data engineers, coach analysts, and develop self-service analytics, automation, governed dashboards, metric documentation, and AI-assisted workflows.

Lead and develop five experienced analysts and data scientists while personally owning analytics across ecommerce, health, and supply chain. Partner with executives, establish KPI and reporting standards, prioritize the analytics roadmap, deliver strategic insights, and advance AI-native self-service analytics tools. The role combines people leadership, hands-on analysis, data governance, and business strategy in a remote-first environment.

As Analytics Lead, you'll drive data-informed decision-making, lead measurement strategies, mentor teams, and oversee analytics infrastructure, impacting client strategies.

Supports revenue strategy through advanced analytics, financial modeling, forecasting, dashboards, reporting, and data-driven recommendations. Partners with sales, services, marketing, finance, product, Salesforce, and BI teams to optimize processes, systems, and performance. Manages ad hoc analysis requests, Salesforce data stewardship, KPI monitoring, and executive-level presentations while translating complex datasets into actionable business insights.

Lead a portfolio of customer accounts to drive growth, profitability, and satisfaction. Engage C-suite, own multi-year account planning, P&L, resource allocation, sales execution, partner activation, and mentor account teams using AI-driven insights and digital tools.

Leads strategy, roadmaps, modernization, and execution across multiple public safety SaaS products or initiatives. Partners with Engineering, Design, Sales, Marketing, and customer-facing teams to deliver measurable value. Responsibilities include pricing, positioning, business cases, portfolio prioritization, AI and analytics adoption, complex releases, customer validation, executive communication, and mentoring product professionals. The role focuses on modernizing CAD or RMS platforms while ensuring usability, compliance, integration, and strategic business impact.

Consults with enterprise retail customers to understand business needs, design and demonstrate SaaS solutions, develop future-state roadmaps, scope statements of work, and support implementation handoffs. Partners with sales, product, engineering, project teams, and customer success to drive adoption, reduce implementation risk, and demonstrate measurable business value. Requires strong presentation, discovery, solution architecture, retail systems, and customer advisory skills.

Own the strategy, roadmap, and delivery of RevenueCat’s analytics products, including charts, benchmarking, dashboards, and predictive LTV. Investigate complex data issues, develop metrics and benchmarks, define product vision, and collaborate with engineering, data science, design, leadership, and go-to-market teams. The role requires strong product management experience, analytical and technical fluency, customer empathy, data visualization expertise, and the ability to make independent product decisions in a remote environment.

Analyze and consolidate data from multiple systems, build scalable dashboards and executive reporting, define standardized metrics, ensure data quality, and translate complex datasets into actionable business insights. Partner cross-functionally with Sales, Marketing, Customer Success, Product, Finance, Operations, and Data Engineering to support decision-making and improve reporting processes.

Own and improve Elastic’s observability infrastructure across hosted cloud deployments. Responsibilities include Terraform-based infrastructure delivery, Python and Go development, production operations, incident response, on-call participation, RCA and postmortem writing, code and design reviews, mentoring, and improving operational documentation and processes. The role also involves operating Linux and containerized workloads, delivering complex projects independently, and maintaining secure, reliable platform infrastructure.

Analyzes pipeline, funnel conversion, campaign performance, retention, and revenue drivers across Sales, Marketing, and Client Success. Builds and maintains dbt models, data marts, quality controls, documentation, and BI-as-code assets using Salesforce and modern data-stack technologies. Partners with stakeholders to turn ambiguous questions into decisions and advances AI-agent workflows for faster analytics and reporting.

Shape Motion’s market presence through positioning, storytelling, product launches, and campaigns. Rapidly test marketing ideas, identify opportunities, scale successful initiatives, and build AI-native systems and workflows that multiply marketing effectiveness. The role is designed for an experienced marketing executive who wants to return to hands-on execution while helping define modern marketing at a fast-growing AI company.

Lead growth analytics strategy by applying statistical, machine learning, and econometric methods to marketing and sales data. Build attribution models, evaluate channel performance, guide budget allocation, unify data sources, and drive experimentation across acquisition, activation, and retention. Partner with marketing, product, sales, finance, and engineering while improving data tools, processes, and decision-making practices.

Own production-grade analytics pipelines from design through maintenance, build dbt-based analytical models using Kimball dimensional modeling, and deliver reliable data features. Partner with Product, Engineering, and Data Science teams to translate retail signals into business insights. Establish standards for monitoring, documentation, reproducibility, and code quality. Use AI tools to accelerate development and prototype conversational data experiences for natural-language retail data exploration.

One-year rotational early-career consulting program for recent bachelor's or master's graduates. Participants develop core consulting competencies through onboarding, office hours, manager check-ins, workshops, and collaborative client-focused work. Candidates must live in an approved hub city and, for U.S. locations, be legally authorized to work without sponsorship.

Build and maintain production-grade dbt data models and pipelines across ingestion, transformation, and visualization. Partner with Finance, Engineering, Sales, Product, and Marketing to deliver reliable data for reporting and decision-making. Improve manual workflows, validate data accuracy, and design scalable solutions using modern data modeling practices. Support financial and revenue-related analytics, including ARR and revenue recognition, while balancing immediate fixes with long-term architecture.

As a Product Manager at Reflow, you will lead product strategy, execution, and delivery while ensuring customer engagement and managing engineering dependencies in an early-stage startup environment.

The Enterprise Partnerships Lead will manage the sales process to health systems, engaging C-suite leaders, and expanding partnerships while driving AI adoption.

The Account Executive will drive sales, develop strategies for business growth, manage accounts, and lead collaborations with clients and teams in the insurance sector.

Owner-driven frontend engineer who builds globalization infrastructure and user-facing growth experiments across acquisition, onboarding, SEO, checkout, and retention. Work includes multilingual SEO, localization workflows, locale-aware routing, performance optimizations, analytics-driven A/B tests, and improving international monetization and conversion.

The Customer Engagement Analyst role involves configuring the unitQ platform, conducting analyses, building customer-facing artifacts, and collaborating with teams to address customer needs.