Top Analytics Jobs in Calgary

Build scalable GCP-based data pipelines and datasets for insurance fraud analytics. Develop and evaluate machine learning, NLP, and Generative AI models using claims and unstructured SIU data. Apply explainable AI techniques, conduct exploratory analysis, automate data workflows, document architectures, and support privacy, fairness, and compliance requirements while collaborating with investigators and business analysts.

Lead design and implementation of full‑stack authentication and account security features for Stripe Organizations. Build APIs, frontend UX/UI, and analytics to secure and simplify login, SSO, MFA, RBAC, and account workflows. Mentor engineers, drive technical decisions, collaborate with Security and partner teams, and create reusable auth building blocks used across Stripe products.

Lead change strategy and stakeholder engagement for technology and AI-enabled transformations. Design and execute adoption programs, define adoption metrics, monitor readiness and risks, and apply human-centered change frameworks. Support AI adoption, workforce impacts, and delivery excellence while partnering with clients, analytics, and product teams to link behavior change to business outcomes.

Lead global go-to-market strategy and positioning for measurement and performance products. Align cross-functional teams, create sales enablement (decks, plays, battlecards), gather customer and technical insights, monitor adoption and ROI, and use generative AI to scale research and enablement.

Own the vision, roadmap, and delivery of AI and analytics capabilities for an enterprise EHSQ SaaS platform. Lead customer and market discovery, prioritize backlogs, define product metrics, and partner with engineering, data science, architecture, design, sales, marketing, and services teams. Drive AI feature launches, adoption measurement, governance, enablement, pricing, and executive communications while ensuring trustworthy, explainable, and compliant product experiences.

Own daily bank reconciliations across treasury accounts and payment rails, resolve complex financial breaks, manage recurring reporting deliverables, and support cash and collateral management projects. The role analyzes financial data using SQL and BI tools, improves reconciliation workflows, supports SOC1 compliance and audit readiness, and communicates financial risks and root causes to technical and business stakeholders.

Leads MAU analytics and data science, managing decision scientists and data scientists while setting quality standards. Owns MAU driver modeling, forecasting, causal analysis, experimentation, and exploratory work supporting growth strategy. Establishes consistent analytical practices, partners with revenue, product, engineering, and data engineering leaders, and embeds the team in roadmap planning. Promotes AI-native workflows through coding agents, automation, and analytical tools while coaching team members into strategic advisors.

Deploys, integrates, and scales enterprise generative AI solutions in customer cloud environments. Responsibilities include architecting GCP and Vertex AI infrastructure, deploying and optimizing LLMs, building RAG data and vector search pipelines, managing GPU/TPU workloads on GKE, automating infrastructure with Terraform, and advising clients on AI safety, prompt engineering, hallucinations, and inference costs. The role also collaborates with research and platform teams and requires travel to client sites.

Manage and grow client relationships for multiple marketing accounts, coordinate campaign execution across paid media, SEO, content and email, report on KPIs, run client check-ins and strategy calls, identify upsell opportunities, and collaborate with internal teams to ensure retention and performance.

The VP of Data & AI Engineering leads Duck Creek's enterprise data and AI strategy, overseeing global teams, implementing scalable platforms, and ensuring data governance and responsible AI practices.

Senior SDET who contributes across frontend and backend systems by building and maintaining features with a strong testing mindset. Develop and maintain automated tests, improve test coverage and CI/CD, investigate bugs, support regulatory and compliance testing strategies, and balance automation with exploratory and risk-based testing.

Lead Sales Strategy and Revenue Analytics for a rapidly scaling B2B AI company. Own GTM operating models, territory and quota design, bookings and consumption forecasting, QBR/WBR cadences, sales process standardization, and repeatable sales motions. Partner with Sales, Finance, Data, and Product to improve execution and decision-making. Build and lead a strategy or analytics team while advising senior GTM and executive leadership.

Lead deployment and sustainment of a production operating system across the full biomanufacturing value stream. Perform diagnostics, build tiered daily management, run kaizen events, mentor teams in Lean problem-solving, connect performance to throughput and release readiness, and embed durable standard work and KPI governance.

The Customer Success Manager will educate clients on creative strategy, build relationships, and help maximize their use of Motion's platform through engagement and tailored support.

Leads the enterprise workforce planning function, building forecasting, headcount, capacity, and scenario models. Partners with Finance, HR, Talent Acquisition, and business leaders on workforce costs, budgets, recruitment strategy, and planning governance. Owns workforce planning data infrastructure, pipelines, dashboards, and reporting, while redesigning manual processes into scalable systems. Influences senior stakeholders, delivers executive-ready analysis, and translates workforce data into strategic recommendations.

Design and build end-to-end data solutions and pipelines using modern cloud platforms; ingest, transform, and make data available for BI and downstream consumers. Partner with business stakeholders, implement CI/CD, testing, observability, and documentation, triage performance issues, and support delivery across client engagements.

The GTM Analytics Lead will drive data-driven decisions across marketing, sales, and finance, optimizing performance and ensuring sustainable revenue growth through analysis and real-time insights.

Lead end-to-end process mapping and analysis using BPMN and process/task-mining tools to identify inefficiencies, create As-Is/To-Be documentation, define BRDs, model future-state scenarios, and drive cross-functional implementation with executive reporting.

As a Senior Full Stack Software Engineer, you will own product features, design scalable systems, mentor teammates, and ensure coding excellence while collaborating with cross-functional teams.

Lead people-analytics strategy for Talent Acquisition and Talent Development. Drive end-to-end analysis of complex workforce problems, deliver evidence-based recommendations to senior leaders, ensure data governance and quality, coach junior analysts, build metrics frameworks, and conduct benchmarking and external research to inform workforce strategy.

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.

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

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.

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