Top Analytics Jobs in Calgary

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

Lead pricing analytics for international market expansion: define pricing strategy, structure platform deals, perform economic analyses, run experiments, monitor and iterate pricing and offerings, and partner with cross-functional teams (Product, Credit, Finance, Engineering, Strategic Partnerships).

Partner with sales to gather customer requirements, design and demo Upshop SaaS retail solutions, scope SOWs, draft deliverables, lead discovery sessions, provide SME guidance, maintain demo environments, and hand off to project and customer success teams. Act as trusted advisor to executives, develop future-state roadmaps, reduce implementation risk, and support sales events and trade shows. Travel up to 30%.

Lead end-to-end product strategy for Luma's creative photo and video tools. Drive roadmap, launches, A/B testing, analytics, and user research with professional creators. Partner with research, engineering, design, and marketing to integrate AI features and grow active user engagement.

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 implementation of enterprise web and app measurement solutions, translating business needs into technical guides, performing QA, auditing analytics deployments, training stakeholders, and recommending scalable, maintainable analytics and tag management practices.

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.

Drive net-new and expansion revenue for mid-market accounts using consultative sales. Own account management and churn, implement outbound programs, advise on performance creative workflows, coach SMB AEs, and ensure client satisfaction to grow adoption of Motion's AI-native platform.

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.

The Cost Controller will develop reporting solutions in Power BI, manage KPIs, support financial reporting, and improve reporting processes for corporate financial analysis, particularly in large-scale projects.

Design, build, and productionalize enterprise analytics data assets from scratch. Collaborate with stakeholders to translate domain requirements into reliable, scalable data logic, implement monitoring/alerting, support external reporting, and enable handoff to data engineering for long-term ownership.

The Senior Analytics Engineer will build and maintain data foundations for corporate reporting, translating business requirements into data models, ensuring consistent metric definitions and investigating data discrepancies for reliable reporting.

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.

Validate, analyze, and interpret investment risk analytics across asset classes; maintain and enhance risk reports, dashboards, and automation; investigate risk metric changes, monitor limits, collaborate with stakeholders, and improve data, reporting, and risk systems using modern technologies.

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.