Top Analytics Jobs in Calgary

Owns the strategy and roadmap for semantic insurance data products supporting AI, analytics, automation, and enterprise applications. Defines canonical concepts, relationships, metadata, data quality standards, APIs, knowledge graphs, and AI-ready consumption patterns. Partners with engineering, architecture, data, AI, UX, customer success, and insurance stakeholders to translate complex P&C insurance needs into product capabilities, prioritize use cases, establish requirements, drive adoption, and measure business impact.

Build customer-facing growth and engagement features across acquisition, activation, retention, and monetization. Design and analyze experiments using feature flags and A/B testing, develop instrumentation and event pipelines, improve performance and scalability, and contribute to architecture and technical strategy. Collaborate with Product, Design, Data, Marketing, and Customer Success while mentoring engineers and promoting reliable, high-quality engineering practices.

Support hundreds of SMB customers using Motion and Runneth through onboarding, training, proactive outreach, written support, re-engagement, and accurate HubSpot documentation. The role requires fast learning, high-volume communication, strong organization, empathy, and comfort using AI daily. Candidates should have substantial hospitality experience and demonstrate initiative toward technology, marketing, ecommerce, or building new systems.

Direct enterprise underwriting and claims risk management for mortality and morbidity risks. Redesign risk programs, develop compliance and performance tools, assess underwriting experience, investigate material risks, and recommend corrective actions. Serve as an expert for complex medical and financial underwriting cases, make decisions within approval authority, challenge business-unit practices, and collaborate with global underwriting, product, pricing, insurance risk, and reinsurance teams.

Define the vision, strategy, and roadmap for AI-powered products. Lead use-case evaluation, requirements, experimentation, development, deployment, adoption, and continuous improvement across Generative AI, LLM, RAG, and agentic solutions. Collaborate with engineering, data science, design, and business stakeholders; establish success metrics; manage AI risks; and communicate product value, progress, and strategy to leadership and clients.

Build trusted finance data products, scalable pipelines, analytical models, automated reconciliations, dashboards, and finance data lake capabilities. Partner with Finance, Accounting, Data Engineering, Product, and Platform teams to resolve discrepancies, improve reporting, automate close activities, establish data quality controls, and enable near-real-time insights. Evaluate AI-assisted automation and own production reliability, testing, documentation, monitoring, and exception handling.

Own end-to-end analytics engineering for AI and developer experience data. Instrument telemetry, build governed production pipelines, define trusted metrics, and create executive-facing dashboards and analyses. Partner with data engineering, AI, and data science teams to improve data quality and connect raw signals to decision-making. Present clear recommendations on AI investment, developer productivity, and ROI while using AI coding agents to build and maintain pipelines, dashboards, and analyses.

Own end-to-end analytics pipelines for AI usage, developer experience, engineering productivity, and spend. Instrument telemetry, build governed ETL workflows, define trusted metrics, and create executive dashboards and visual narratives. Analyze results, recommend improvements to AI ROI and developer experience, and communicate methodology to senior stakeholders. Collaborate across data engineering, applied AI, and data science while using AI coding agents to build, test, and maintain production data systems.

Leads advanced data analysis, develops dashboards, KPIs, and analytical models, and translates business problems into data-driven solutions. Works with complex datasets using Databricks, SQL, Python, BI tools, and cloud data platforms. Partners with engineering and governance teams, promotes analytics standards, mentors analysts, and communicates insights to stakeholders. Supports strategic decisions through descriptive, predictive, and prescriptive analytics.

Analyze financial and business data across ARR, retention, billing, subscriptions, and customer cohorts. Build interactive Hex dashboards, translate stakeholder questions into reporting, investigate financial variances, and automate recurring workflows using AI. Partner with Analytics Engineering to improve data models, reporting sources, data quality, and metric definitions. Present insights and collaborate with Finance, Sales, Marketing, RevOps, and Data and Analytics teams.

The Analytics Engineer partners with business stakeholders and data teams to translate reporting needs into scalable analytics solutions. Responsibilities include integrating disparate datasets, developing optimized SQL and reporting tables, building executive dashboards and KPI frameworks, maintaining semantic-layer definitions and governance, and improving analytics architecture. The role also applies software engineering practices, supports code reviews, and documents data models. Candidates should have strong SQL skills, analytics experience, dashboard development expertise, and proficiency in analytical programming languages such as Python or R.

Own Affirm Canada's post-delinquency collections and recoveries strategy, including digital and outbound collections, agency placement, and post-charge-off recovery. Analyze performance, design experiments, quantify initiatives, manage vendor scorecards, and improve recovery outcomes. Partner with Product, Legal, and Compliance to ensure alignment with Canadian consumer protection, collections, and privacy regulations, while collaborating with international teams.

Analyze product usage and telemetry data to identify trends, opportunities, and product improvements. Partner with Product Analytics, Data Science, and product teams to define success metrics and measurement plans. Build dashboards, reports, and self-service analyses using SQL and analytics tools, validate telemetry and data quality, and communicate findings through written analyses, presentations, and recommendations.

Lead and mentor a cross-functional engineering team building growth-critical platforms, AI-driven tools, automations, and user engagement systems. Partner with Product and Design to prioritize work, guide architecture, improve processes, and deliver reliable production features. The role combines people leadership with hands-on backend software development, technical decision-making, stakeholder communication, and team enablement across distributed time zones.

Manage and grow strategic end-customer accounts across Canada. Develop multiyear account plans, build executive and technical relationships, identify expansion opportunities, lead proposals and account reviews, coordinate cross-functional teams and channel partners, manage forecasts in Salesforce, and support demonstrations, pilots, escalations, retention, and sustainable revenue growth. The role is based in Vancouver or Calgary and requires travel up to 50% of the time.

Lead analytics consulting engagements by translating business objectives into analytical roadmaps, defining and governing KPIs, assessing data quality, and conducting hands-on data exploration with SQL and Python. Partner with stakeholders and Power BI developers to design metric structures, semantic models, wireframes, and dashboards that support strategic decision-making.

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.

Own the analytical function for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; communicate insights and recommendations; influence leadership decisions; and drive initiatives through execution. The role requires strong analytical problem-solving, SQL or Python proficiency, independent data interpretation, persuasive communication, and ownership of ambiguous business challenges.

Own the analytical function for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business questions, metrics, reports, analyses, and experiments; surface insights; make recommendations; and drive decisions through execution. The role requires independent data work, strong problem-solving, persuasive communication, and ownership of ambiguous, high-impact initiatives.

Own the analytical function for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; surface insights; and drive data-informed decisions and outcomes. The role requires independent data work, strong problem-solving, stakeholder influence, and end-to-end ownership of ambiguous initiatives.

Own end-to-end analytics for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; surface actionable insights; and influence stakeholders’ decisions. The role requires independent data work, strong analytical judgment, clear communication, and ownership of ambiguous, high-impact initiatives.

Owns the strategy and roadmap for Duck Creek’s billing product domain, including invoicing, payments, collections, commissions, disbursements, reconciliation, and automation. Partners with engineering, architecture, data, finance, sales, and customers to deliver configurable, scalable, compliant, and explainable billing capabilities. Leads discovery, prioritization, AI-enabled decision support, governance, adoption, and financial outcomes for insurance billing workflows.

In this role, you will define and execute the go-to-market strategy, drive growth, and lead customer success efforts at Reflow, a workplace intelligence platform.

Leads global finance operations spanning accounts receivable, accounts payable, payroll, procurement, customer contracting, and deal desk governance. Oversees transaction accuracy, internal controls, compliance, commercial deal advisory, and revenue optimization. Drives finance transformation through process standardization, automation, analytics, AI-enabled tools, and operating model redesign. Builds high-performing teams, develops leaders, and partners across Sales, Legal, and IT to modernize finance operations for a public company.

The Account Director will manage client relationships, oversee strategic planning, and ensure seamless integration of marketing efforts across the agency's travel accounts, focusing on digital marketing and performance outcomes.