Top Analyst Jobs in Calgary

The Organic Growth Analyst will support SEO and content strategies for B2B SaaS clients, conduct analyses, and help track performance.

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.

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.

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.

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 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.

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.

The Senior Business Analyst (Product Owner) manages enterprise data products, ensuring delivery aligns with business goals, fosters collaboration, and leads product strategy by maintaining a prioritized backlog and defining user experience standards.

Own day-to-day GTM revenue systems and build AI-native automations. Responsibilities include Salesforce administration, n8n workflow development, deal desk and commissions support, tooling administration, integration monitoring, and converting repetitive tasks into automated, agentic workflows using Claude Code and other AI tools.

Lead and build the Customer Experience analytics function, owning CX data strategy, BI, forecasting, capacity planning, operational analytics, and executive reporting. Translate large datasets into actionable insights, predictive models, and staffing forecasts, measure AI and human interactions, identify journey inefficiencies, and quantify CX impact on revenue while partnering with CX, Finance, and Data teams.

Builds and maintains global Workday HR reporting infrastructure: gathers requirements, develops custom reports and dashboards, tests and validates solutions, supports UAT, mentors peers, handles ad-hoc data requests, and improves report performance and user adoption across HR teams.

Own end-to-end product analytics for the Pro team: build production-grade pipelines and dbt models, define north-star metrics, design A/B tests and causal inference frameworks, create dashboards and metric frameworks, embed AI tooling, and translate insights into product recommendations for leadership.

Lead complex people-analytics work: design actionable dashboards, apply rigorous research methods, translate analysis for executives, advise HR leaders, build AI-driven workflows, and work hands-on with Visier, Snowflake, SQL, and Python/R.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

The Product Data Analyst will analyze operational data, develop analytics frameworks, create dashboards in Tableau, ensure data integrity, and collaborate across teams to enhance decision-making and reporting.

Own the quote-to-cash process: review and approve order forms, lead complex deals and renewals, configure CPQ/CRM rules, manage Stripe billing, partner with AEs and CS, coordinate with outside counsel, build templates and playbooks, and ensure clean accounting and month-end reconciliations.

Lead growth and player behavior analytics across sportsbook, casino, and poker products. Partner with Revenue Ops, Marketing, Product, and VIP to run retention, bonus optimization, segmentation, funnel/cohort analyses, and A/B tests. Build predictive models and apply ML/AI tooling to generate actionable insights and recommendations that drive engagement, personalization, and ROI.

Manage end-to-end accounts receivable and collections including aging analysis, customer outreach, payment plans, and dispute resolution. Maintain Salesforce data, prepare manual invoices, apply contract terms to billing, support month-end close, and collaborate with Customer Success and Support.

Lead CSL's sustainability reporting and disclosure program: own the reporting platform and data governance, manage sustainability data (GHG/Scope 3), oversee audits, support emissions modelling, and partner across functions to meet global disclosure requirements.

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.

Provide 24x7 monitoring, detection, investigation, and response for customer environments using enterprise/log/endpoint tools. Analyze logs and network/endpoint telemetry, hunt threats, document findings for technical and executive audiences, remediate incidents, and recommend risk-reducing improvements.

Conduct market and competitive intelligence research for quantum computing products; track competitors, patents, publications, financial signals, and industry trends. Use AI-enabled tools and dashboards (Tableau/Power BI/Python) to gather, analyze, and visualize data. Produce reports and presentations to inform product strategy and support cross-functional teams.

Support client operations through data collection, cleansing, transformation, modeling and reporting. Build and automate standardized reports, design surveys and market tests, use BI tools to visualize insights, and make data-driven recommendations to support sales and marketing objectives.

Analyze sales, pipeline, and revenue data to produce forecasting, performance, retention, pricing, and capacity insights. Build and maintain forecast models, surface bottlenecks, support planning cycles, and translate analysis into executive-ready presentations. Collaborate with Business Systems, Marketing Ops, Customer Success, and IT to validate data and ensure cross-system alignment.