Top Analytics Jobs in Calgary

Support market analysis across energy transition sectors; compile and maintain large datasets; develop analytical models; work with the Analytics team to build client solutions; participate in client meetings and presentations.

Own analytics enablement by translating stakeholder questions into trusted, reusable metrics and semantic models. Build and maintain the metrics/semantic layer, validation, documentation, AI-accessible datasets, and pipelines to ingest new sources. Enable self-serve analytics and agentic LLM querying (Claude) while partnering with product, GTM, and executives.

Own marketing tracking and measurement across 14 markets, implement and audit GTM/GA4/pixels/server-side tracking, build automated Looker dashboards, run incrementality and A/B/geo-lift tests, define budget allocation frameworks, and set analytics standards and documentation to inform media spend decisions.

Design and maintain scalable ELT/ETL pipelines on GCP, build and evaluate predictive ML and NLP models (including LLM prompt engineering), implement XAI for interpretability, perform EDA and automation, and document governance and compliance to support enterprise fraud detection and SIU stakeholders.

Lead a team of data engineers and analysts, define the data engineering roadmap, oversee data infrastructure, ensure analytics delivery, and establish data governance standards.

Lead Neo's analytics function: set enterprise analytics strategy, build and scale analytics teams, enforce analytical governance and KPI frameworks, drive advanced methods (A/B testing, forecasting, segmentation), partner with executives to turn insights into business outcomes, and champion cross-functional data literacy and self-service analytics.

The Account Executive will develop and implement sales strategies, manage relationships with vendors, and drive growth through effective prospecting and client engagement.

Lead design and delivery of Workday reporting and analytics for AMS clients: build advanced/matrix/trending/composite reports, dashboards, Discovery Boards, Worksheets, and complex calculated fields; gather requirements, optimize reports, mentor junior consultants, and provide Workday best-practice guidance.

Lead marketing analytics for DTC and Amazon channels: own attribution, A/B testing, dashboards, forecasting, incrementality, and measurement frameworks. Partner with Growth, Brand, and central Data teams to automate reporting, run experiments, support qualitative research, and build models to inform channel investment and revenue forecasting.

Lead marketing analytics as the architect of the data-driven growth engine: build BigQuery data schemas, predictive models (attribution, MMM, LTV), agentic AI monitoring, automated orchestration, executive BI, and target-setting frameworks to optimize demand generation and funnel quality across GTM.

The Senior Data Scientist will build frameworks for data-driven decision making, develop predictive models, ensure data quality, and enhance customer experiences through analytics and operational insights.

As a Senior Analytics Engineer, you will design the financial data backbone, integrating ERP data, building profitability models, and enabling data-driven planning in collaboration with Finance and Operations.

As Analytics Lead, you'll drive data-informed decision-making, lead measurement strategies, mentor teams, and oversee analytics infrastructure, impacting client strategies.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

Lead pricing, packaging, and monetization strategy across on-prem, SaaS, and appliance products. Own product line performance, market and competitive analysis, forecasting, and pricing governance. Partner cross-functionally with Product, Sales, Finance, and Operations to guide subscription and consumption transitions, support complex enterprise deals, and deliver executive reporting to inform portfolio investment decisions.

Lead and develop a team of analysts, manage analytics projects, establish methodologies, and enhance reporting and automation processes.

Architect and operate secure, compliant AWS data pipelines and analytics integrations. Ensure data quality, lineage, residency, and privacy-preserving engineering to meet HIPAA, SOC 2, GDPR, and CCPA. Lead data modeling, build CI/CD for data infrastructure, enforce least-privilege access, implement IaC governance, mentor engineers, perform code reviews, and produce runbooks and compliance evidence.

Own the end-to-end analytics function for a business area (growth, product, AI, or partnerships). Define problems and decisions, build metrics and reports, run analyses and experiments, surface insights, and drive cross-functional recommendations through to execution.

Embed with a business unit to define problems, build metrics/reports, run analyses and experiments, surface insights, and drive recommendations and execution across growth, product, AI/automation, or partnerships.

Embed with a core business area to define problems, build metrics and reports, run analyses and experiments, surface insights, and drive data-informed recommendations end-to-end to influence product, growth, AI, or partnerships.

Embed within a core business area to define problems, build metrics and reports, run analyses and experiments, surface insights, make recommendations, and drive cross-functional execution to improve product, growth, AI/automation, or partnerships.

Embed within a core business area to define problems, build metrics and reports, run analyses and experiments, surface insights, and drive recommendations end-to-end to influence product, growth, AI, or partner decisions.

Embedded BizOps & Analytics partner responsible for defining problems, building metrics and reports, running analyses and experiments, surfacing insights, and driving cross-functional decisions to improve product, growth, AI/automation, or partnerships.

Embedded BizOps analyst responsible for defining problems, building metrics and reports, running analyses and experiments, surfacing insights, and driving data-informed decisions across growth, product, AI/automation, or partnerships.