Top Analytics Jobs in Ottawa

Lead executive interviews, stakeholder workshops, and current-state assessments to identify operational gaps and opportunities. Develop business cases, operating models, governance, KPIs, roadmaps, and practical AI-enabled solutions. Advise on AI strategy, innovation, commercialization, customer experience, and change management. Support transition of recommendations to delivery teams and occasionally participate in business development.

Lead social-first strategy and execution for Walrus Foundation: manage daily social channels, plan campaigns and launches, run social listening, grow YouTube, coordinate KOLs/creators, support executive communications, activate events, and collaborate across marketing, product, and comms to deliver integrated campaigns.

The Principal Product Manager will define product vision, roadmap, and strategy, ensuring operational excellence while delivering exceptional customer experience and measurable outcomes through cross-functional collaboration.

Partner with prospective and existing customers to lead technical discovery, design integrations and proofs of concept, run tailored demos, troubleshoot implementation issues, and translate customer feedback into product requirements while collaborating closely with sales, product, engineering, and customer success.

Lead a Value Realization Services organization to drive adoption, optimization, and measurable ROI of NICE CX solutions (quality, interaction/speech/text analytics, AI). Manage consulting delivery, operations, revenue, margins, KPIs, and cross-functional alignment while advising senior customer executives and ensuring customer transformation and long-term value.

Own and execute the product vision, roadmap, and delivery for core asset management and tracking software. Lead discovery, define requirements, prioritize backlog, collaborate with engineering/UX, engage customers, measure product metrics, and drive usability, reliability, and scalability improvements. Support launches and adoption with Product Marketing and Customer Success.

Lead an AI-first learning strategy that curates third-party content and digital platforms, owns enterprise onboarding, manages the LeadWell leadership program, conducts learning needs analyses, administers the LMS, partners cross-functionally with People & Culture and CX/Enablement, measures program impact, and supports career development, internal mobility, and change adoption across the organization.

Senior capital markets product manager/analyst with 15+ years as a Business Analyst. Conduct deep analysis of processes, systems, and workflows; gather and document requirements; analyze trading data, market trends and regulatory changes; use SQL/analytics; familiarity with trading platforms and order management systems is a plus.

Lead end-to-end implementations for mid-market and smaller enterprise customers, managing ~15 concurrent 4–8 week SaaS onboarding projects. Develop and execute implementation plans, align stakeholders, configure multi-module systems, drive change management, advise on best practices, and collaborate across CS, Sales, Product, Engineering, and Ops to ensure rapid time-to-value and strong customer outcomes.

Hands-on director-level product designer for enterprise SaaS who owns the design system, user psychology, dashboards, data visualizations, and habit-forming product mechanics. Designs workflows to drive adoption, retention, referrals, and expansion while partnering with Product, Engineering, Sales, and Customer Success. Prototypes, tests, and refines UX based on analytics and A/B experiments to align design with revenue metrics.

Senior pre-sales engineer partnering with sales and channel partners to run technical demos, lead POCs, design solutions, and close large deals. Present to executives and technical audiences, build cloud ML/generative AI solutions, and advise on data architecture and Snowflake positioning.

Lead and mature Solutions & Technical Implementation for Shopify clients: own technical discovery, solution architecture governance, scoping, QA, launch readiness, integrations, analytics/SEO considerations, client-facing technical guidance, and cross-functional coordination across Engineering, PM, SEO, and Analytics.

Lead PPC and SEO strategy and performance for multiple clients. Own audits, roadmaps, reporting, QA, and team oversight across paid and organic channels. Support sales, standardize playbooks, and build scalable marketing frameworks and dashboards.

Analyze in-app behavioral data and customer journeys to inform product decisions. Build dashboards, define event taxonomies, ensure instrumentation and data quality, analyze funnels/retention, and partner with product and design to improve cloud platform experience.

Design, build, deploy, and support BI, reporting, dashboards, semantic layers and analytics solutions. Translate business requirements into scalable BI deliverables, write and optimize complex SQL/BigQuery queries, ensure data quality and governance, follow SDLC and DevOps procedures, monitor and tune BI environments, and collaborate with cross-functional teams to deliver reliable analytics.

Define enterprise AI strategy and architecture for LLMs, RAG, and predictive models; design secure, high-performance REST/GraphQL APIs and event-driven systems; establish AI/data governance; and lead cross-functional teams to productionize real-time AI applications.

Own and architect the semantic layer and metrics/metadata for the data platform (Databricks/GCP). Build AI-ready models, enforce modeling and documentation standards, implement observability/testing for pipelines, enable self-serve analytics, and collaborate across product, clinical, and business teams to translate questions into reliable data solutions.

Lead measurement planning, KPI definition, reporting, and data visualization for B2B digital campaigns. Perform exploratory analysis, forecasting, automation, A/B test identification, and mentor teammates while ensuring data quality and advising clients and internal teams.

The GTM Lead for Insurance will build and manage enterprise insurance accounts, develop relationships with senior industry leaders, and shape sales strategies for AI solutions.

The Principal Technical Product Manager will lead cross-functional teams in product strategy, feature development, and lifecycle management for a new unannounced AAA mobile game, using data analysis to guide decisions.

Lead the buildout of a centralized marketing analytics function: consolidate multi-unit data, define KPIs and governance, develop pipelines and dashboards, improve attribution, create forecasting and testing frameworks, and deliver insights to optimize acquisition and marketing ROI.

Design and evolve systems for Motion's infrastructure, focusing on reliable and secure operations across APIs, Linux systems, and cloud environments with a focus on hands-on coding and engineering judgment.

Build and operate the core BI platform: own ingestion, integration, modular dbt pipelines, and enterprise data models. Establish data quality, testing, governance, observability, and CI/CD. Monitor platform health, certify pipelines and data products, and mentor analytics engineers to enable trusted, self-service analytics and AI-augmented workflows.

As a Senior Agentic AI Engineer, you will lead innovation in AI initiatives, from ideation to prototyping, collaborating with teams to deliver impactful solutions.

Serve as the front-line expert helping customers and CSMs unblock technical and strategic issues using the Motion platform and AI agents. Triage Intercom/Slack requests, troubleshoot and reproduce problems, train and improve AI agents, surface product feedback, and build systems to reduce recurring issues. Combine product expertise, creative strategy knowledge, and systems thinking to turn stuck customers into confident users and influence product and docs.