Top Analytics Jobs in Ottawa

Elicits and documents business requirements, facilitates stakeholder workshops, analyzes current and future-state processes, and creates BRDs, functional requirements, user stories, and process maps. Supports Agile delivery activities, UAT, change traceability, post-launch solution monitoring, and user training. The role independently manages requirements for a defined business area or system and applies process, data, and stakeholder analysis skills.

Leads strategy, modernization, and roadmap execution across multiple public safety SaaS products or initiatives. Defines portfolio vision, prioritizes investments, guides complex cross-functional software delivery, and drives measurable customer and business outcomes. Establishes pricing and positioning, supports go-to-market planning, champions AI and analytics adoption, and leads experimentation. Partners with Engineering, Design, Sales, Marketing, and customer-facing teams while mentoring product professionals and representing the portfolio with executives, customers, and industry stakeholders.

Manage, design, deploy, optimize, and scale persistent and transient AWS EMR clusters for batch data processing. Automate infrastructure with CloudFormation, Terraform, and CodePipeline; administer EC2, S3, and related AWS services; monitor pipelines; troubleshoot performance issues; and maintain security, patching, access controls, and cluster configurations. Preferred experience includes Hadoop, HDFS, AWS EKS, containerized workloads, and Kerberos.

Build repeatable AI product packages that drive customer adoption from initial use to team-wide deployment. Partner with Product, Engineering, and Customer Success to solve technical blockers, translate customer needs into use cases, support Motion’s internal marketing team, and help influencers adopt Runneth. The role combines customer relationship management, marketing knowledge, hands-on AI building, technical problem-solving, and evolving customer success ownership.

Owns ecommerce analytics and measurement strategy for holtrenfrew.com, using customer, website, product, search, and financial data to identify growth opportunities. Leads KPI governance, funnel analysis, dashboarding, data quality, conversion-rate optimization, experimentation, SEO, product discovery, and AI-powered search initiatives. Partners cross-functionally to translate complex analysis into actionable recommendations for senior leadership and improve traffic, conversion, revenue, and customer experience.

Senior marketing technology leader who architects multi-platform MarTech solutions (Adobe and non-Adobe), advises clients, leads pre-sales and delivery, drives data-driven orchestration across CDP, CRM, analytics, personalization, ensures governance and security, and mentors teams while remaining billable.

Evaluate, structure, and price consumer asset-backed transactions; develop capital structuring, pricing, and quantitative loan performance models; and provide insights supporting funding strategy and merchant pricing. Collaborate with Capital Markets, Treasury, Credit, Commercial, Product, Engineering, and other teams to guide funding, product, and business decisions.

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.

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.

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.