Top Analyst Jobs in Calgary

As a Data Analyst at Stripe, you'll build data products, metrics, and dashboards, analyze large datasets, and communicate insights to drive business decisions.

The role involves programming and data review for real-world data analysis, supporting epidemiologists, and managing complex data sets using statistical programming languages and tools.

The Data Analyst will build key data models and metrics for decision-making, partner with stakeholders for analytical insights, create datasets for self-service reporting, and ensure data reliability through quality checks.

Partner with multinational clients to gather requirements, define KPIs, develop business cases, and oversee GRAVTY® loyalty program implementations. Provide product expertise, deliver client training, manage project documentation and SLAs, collaborate with product management on features, and create product marketing collaterals to support go-to-market strategies.

Lead SAP EWM outbound process design and implementation: gather requirements, identify gaps, produce functional RICEFW designs, run workshops, prepare training documentation, and support end-to-end SAP S/4HANA EWM deployments. Prioritize candidates with food manufacturing experience and bilingual (English/French) skills.

Lead requirements-gathering, analyze and document processes, develop business cases, create specifications, and support IT solutions while ensuring stakeholder alignment.

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

The Analyst supports template configuration, documentation, testing, and deployment activities. They assist in maintaining data accuracy and follow established standards, while learning ERP processes and enterprise application fundamentals.

Perform IAM business analysis: document functional and non-functional requirements, process maps (As-Is/To-Be), use cases, gap/impact analysis, training material, and UAT coordination. Liaise with stakeholders and offshore teams, guide developers, validate delivered functionality, and produce project documentation. Conduct complex data analysis and reporting using advanced Excel.

Analyze go-to-market performance across marketing, sales, revenue operations, and finance. Build reporting connecting campaigns to pipeline and revenue, investigate funnel and attribution questions, support budget analysis and planning, improve data quality, and communicate insights to technical and non-technical stakeholders. Collaborate with AI and Data Engineering teams on marketing data agents, architecture, and source tables.

Own and govern Capital Power's end-to-end forward price curve framework: design, build, validate, and maintain curves; manage curve intake, configuration in ZEMA/Allegro, daily production monitoring, IPV, model validation, and governance reporting to senior committees.

Leads US energy market modeling and PLEXOS implementation projects for system operators, regulators, and government organizations. Builds and calibrates models, forecasts prices and cross-border flows, evaluates portfolio optimization, risk, hedging, secondary-market strategies, and investment decisions. Supports business development through proof-of-concept models, technical presentations, proposals, market studies, training, and thought leadership. Requires strong electricity-market expertise, analytical ability, communication skills, and customer-facing consulting capability.

Lead cross-functional marketing and operations strategy projects: generate hypotheses via analytics and benchmarking, plan and execute initiatives, align stakeholders, present executive-ready recommendations, and scale best practices to drive revenue and operational efficiency.

Design, execute, and maintain manual and automated tests for web and mobile SaaS products. Report and track defects, perform end-to-end and regression testing, collaborate with developers and product owners, and participate in agile ceremonies to ensure product quality throughout the software development lifecycle.

Manage marketing-generated leads, qualify and route prospects, maintain CRM data quality, support outbound campaigns and eCommerce customer onboarding, and coordinate cross-functional stakeholders to accelerate opportunities and improve commercial processes.

Provide defined benefit pension plan administration including calculations, verification, annual statement production, plan rule interpretation, client/member support, and process improvement. Work on projects and special assignments while ensuring regulatory compliance and high customer service standards.

Monitor, investigate, and respond to security events using Sophos and enterprise tooling. Analyze logs and endpoints, identify threats, communicate findings to technical and executive audiences, drive remediation and continuous improvement, and research emerging IOCs, exploits, and vulnerabilities to operationalize protections for customers.

Own decision quality by evaluating AI-generated decisions, identifying reasoning failures, designing feedback and training loops, defining decision-quality metrics, and collaborating with Product, R&D, and Engineering to improve robustness, explainability, and drift detection.

Analyze user behavior, feature adoption, and retention across a B2B SaaS platform to generate evidence-based product insights. Track journeys, run cohort and funnel analyses, support A/B testing, define product KPIs, ensure data accuracy, and provide structured recommendations to inform roadmap and improve adoption and retention.

Own end-to-end analysis of payments, chargebacks, and user lifecycle to identify drivers of net loss. Deep-dive into fraud cases, design and evaluate A/B experiments and risk-rule changes, build monitoring dashboards, partner with Risk, Payments, and Product to convert insights into mitigations, and run ad-hoc analyses of emerging loss trends.

As a Senior Impact Analyst, you will analyze sustainability challenges, design and manage interventions, and work closely with smallholder communities, emphasizing rigorous research and collaboration.

As an Associate Staff Consultant, you will assist in business analysis for digital products, collaborating with teams to deliver exceptional user experiences.

Serve as delivery lead and senior digital analyst for clients: gather measurement requirements, analyze large event datasets (BigQuery/SQL), build visualizations, present insights, guide implementations (GTM/Tag tools), coordinate cross-functional delivery, and ensure QA and on-time execution.

Partner with Marketing as the embedded data science lead to build marketing measurement, attribution, LTV/ROAS/CAC models, run experiments, analyze the full funnel, create forecasts and dashboards, and influence channel strategy and budget allocation.

The Data Analyst will support business needs through technical problem-solving and data analysis, focusing on improving user experience and conversion rates in a B2B2C environment.