Top Analytics Jobs in Calgary

The Director of Research for Power Markets will oversee the QA/QC process for long-term price forecasts and act as an advisor to leadership, ensuring rigorous review and internal expertise engagement throughout the forecasting cycle.

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.

Lead and grow a team of 2-3 PMs owning agent tooling and workflows. Define vision and roadmap for agent experience, drive AI-first automation, partner with Operations and cross-functional teams, deliver scalable systems, and measure impact through analytics and experimentation.

Lead product strategy for consumer credit, underwriting, merchant pricing, and loan economics. Define features, specs, and metrics; partner with engineering, analytics, design, commercial, legal, and capital to launch and scale products across channels and geographies.

Lead a developer productivity engineering team to improve the software development lifecycle through metrics, observability, data pipelines, and AI-enabled tools. Own roadmap, mentor engineers, partner with cross-functional leaders, and deliver measurable improvements in adoption, reliability, and developer experience.

Design, build, and maintain dimensional data models, semantic layer, and production data transformation pipelines (dbt/Snowflake). Partner with Data Engineering, Data Science, BI, and Product to deliver governed, AI-ready data products, monitor data quality, enable ML features, and coach junior engineers to uphold code and governance standards.

Design and lead cloud-based contact center solutions on Genesys Cloud CX. Translate business requirements into scalable, secure architectures, manage integrations (CRM, WFM, analytics), provide hands-on technical leadership, mentor teams, ensure security/compliance, and drive roadmap and innovation for CX platforms.

Build and own the analytics foundation: maintain dbt models and Snowflake, create ELT pipelines (Python/Airflow), design semantic layers, ensure data quality and reconciliation, enable self-serve analytics and measurement for cross-functional teams, and support AI-ready data infrastructure.

Lead product strategy and roadmap for Motive's Telematics data platform. Partner with engineering and AI teams to build API-first products, enterprise integrations, and reliable data services. Drive platform readiness for strategic initiatives, mentor product managers, and align stakeholders across product, engineering, and GTM teams.

Own end-to-end enterprise accounts across Western Canada (Energy, Mining, Utilities). Drive high-velocity customer engagement, pipeline generation, POC-to-production acceleration, account expansion, and accurate Salesforce CRM forecasting while managing complex, multi-stakeholder sales cycles.

Partner with Sales Strategy, Solution Architects, and Ecosystem teams to translate pre-sales questions into analytics and AI solutions. Build BI and AI tools, maintain analytics foundations (Snowflake/dbt/Tableau), run cohort/segmentation and experimentation, and surface insights to improve trials, adoption, conversion, and partner-influenced wins.

Owner of end-to-end revenue and first-order analytics: define stakeholder questions, build datasets and dbt/Snowflake models, run SQL/Python analyses, deliver dashboards or AI-driven tools, and translate results into actionable sales and go-to-market recommendations while maintaining data quality and documentation.

Lead design and implementation of Affirm's Lakehouse Platform (Iceberg, Spark, Snowflake). Define technical strategy, enable secure governed access, improve analytics engineering practices, optimize performance and cost, operate at scale, mentor engineers, and collaborate cross-functionally to deliver reliable, discoverable, and cost-efficient analytical data infrastructure.

Serve as a strategic analytics advisor to clients: design and audit Adobe Analytics and CJA implementations, run measurement workshops, build dashboards and reports, translate data into actionable stories, present findings, and enforce information security and data privacy best practices.

Lead development of scalable data products for Revenue: design dbt models, metrics, dashboards, governance, and AI enablement. Drive data architecture, quality, lineage, documentation, and automation; mentor analysts and align stakeholders to deliver reliable revenue analytics and reporting.

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.

Design, develop, train, and evaluate machine learning models; prepare and analyze large datasets; build dashboards and integrate models into applications; provide technical leadership and ensure ethical AI practices.

Lead and scale a global engineering organization to deliver enterprise-grade AI/GenAI SaaS products. Define technology strategy and roadmap, drive architecture for LLMs/RAG/NLP systems, ensure scalability/reliability, establish DevOps and quality practices, partner with Product/Sales/Customer teams, and manage hiring, budgets, and leadership development.

Lead and grow a Support Engineering team that resolves complex product issues, integrations, and data workflows. Define escalation and triage practices, build scalable diagnostics and internal tools, collaborate closely with Engineering and Product, mentor engineers on debugging, logs, and database querying, and create repeatable processes to improve customer outcomes and support efficiency.

Build, operate, and extend Affirm's data platform and application tooling to enable self-service data applications at scale. Implement platform features (provisioning, CI/CD, access control), integrations, data governance, automation, observability, and on-call operations. Contribute to roadmap for semantic layers, agentic data tooling, and AI-native workflows while raising engineering and operational standards.

The Founding Account Executive will build and maintain a pipeline of mid-market or enterprise clients, managing deals end-to-end, leading proof-of-value motions, and defining sales strategies for growth.

Lead end-to-end solution design and architecture for Sales Cloud, Service Cloud, and Agentforce implementations. Translate sales and service requirements into scalable Salesforce solutions, define automation and AI use cases, oversee integrations, and drive governance, adoption, and measurable business outcomes while mentoring delivery teams and facilitating stakeholder workshops.

The Director, Talent & Culture will partner with Product leaders to shape talent strategy, drive organizational design, and enhance employee experience through data-driven insights while leading change initiatives.

Manage and grow strategic partnerships across US & Canada for a Google Cloud-focused AI and data consultancy. Drive co-sell initiatives, GTM planning, partner enablement, joint marketing, event execution, partner onboarding, and pipeline generation while tracking partner performance and reporting impact.