Top Analytics Jobs in Ottawa

Owns marketing measurement across campaigns, channels, attribution, funnel health, and pipeline forecasting. Builds dashboards, attribution models, AI-assisted insights, propensity scoring, anomaly detection, and budget scenarios. Partners with marketing, sales, finance, data engineering, security, and legal to improve data quality, responsible AI usage, and investment decisions. Delivers executive reporting and mentors analysts.

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.

Lead and redesign the web production operating system for a high-volume direct-to-consumer business. Own intake, requirements, workflow, capacity planning, dependencies, AI-assisted production, quality control, team capability, and operational measurement. Improve request-to-launch speed, throughput, predictability, and first-pass quality while reducing rework and marketing launch delays. Partner closely with marketers, designers, developers, copywriters, and media buyers to standardize production and scale output without proportional headcount growth.

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.

Leads complex full-stack software projects, designing scalable architectures and shipping end-to-end product features. Responsibilities include developing Python and Node.js APIs, working on React, Vue, and Ember front ends, writing maintainable and tested code, troubleshooting, documenting designs, mentoring engineers, collaborating cross-functionally, and participating in Agile development. The role also contributes to infrastructure, open-source projects, and customer-focused SaaS product improvements.

Own and architect marketing and storefront analytics systems, including metric definitions, single sources of truth, multi-touch attribution, marketing mix modeling foundations, semantic models, and data health metrics. Partner with marketing, storefront, and leadership teams to improve acquisition measurement, budget allocation, data quality, and decision-making across international markets.

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.

Own the analytical function for a core business area such as growth, product, AI, or partnerships. Define business questions and metrics, build reports, conduct analyses and experiments, surface insights, and drive leadership decisions and outcomes. The role requires independently structuring ambiguous problems, communicating recommendations persuasively, and executing initiatives end to end.

Own the analytical function for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business questions, metrics, reports, analyses, and experiments; surface insights; make recommendations; and drive decisions and execution with cross-functional leaders. The role requires strong independent analytical skills, first-principles problem solving, persuasive communication, and ownership of ambiguous, high-impact initiatives.

Leads data-driven business operations initiatives, including customer and partner growth, product experimentation, acquisition strategy, and process optimization. Partners with marketing, product, and business development teams; designs and analyzes A/B tests; applies machine learning and SQL-based analysis to generate strategic insights and improve operational efficiency.

Drive data-informed decisions across growth, product, marketing, and business development initiatives. Responsibilities include analyzing customer and partner performance, designing and evaluating A/B experiments, identifying scalable acquisition and partnership levers, extracting insights with machine learning models, and automating manual processes to improve operational efficiency.

Lead data-driven business operations initiatives, including customer and partner growth, product experimentation, acquisition strategy, and process automation. Partner with marketing, product, and business development teams; design and analyze A/B tests; use SQL and machine learning models to generate insights; and communicate recommendations to stakeholders from frontline teams through executives.

Own the analytical function for a business unit across growth, product, AI, automation, or strategic partnerships. Define business questions and metrics, build reports, run analyses, design experiments, surface insights, and drive decisions through execution. The role requires independent data work, first-principles problem solving, persuasive communication, and ownership of ambiguous, high-impact initiatives.

Drive data-informed decisions across business initiatives, including carrier growth, product launches, user acquisition, and partnerships. Lead A/B experiment design and analysis, identify profitable growth levers, generate customer and business insights, and automate manual processes to improve operational efficiency. Collaborate with marketing, product, and business development teams while communicating recommendations to audiences ranging from frontline employees to executives.

Own the analytical function for a business unit across growth, product, AI and automation, or strategic partnerships. Define business questions, metrics, reports, analyses, and experiments; surface insights; recommend actions; and drive decisions and outcomes with cross-functional leadership. The role requires strong independent data skills, first-principles problem solving, persuasive communication, and ownership of ambiguous high-impact initiatives.

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.