Top Analytics Jobs in Calgary

The Data Analyst will focus on compliance and regulatory reporting, transforming complex data into actionable insights, automating data solutions, and supporting audit requirements within the financial services sector.

The Manager of Financial Data, Planning & Analytics oversees financial planning and analysis, modernizes financial systems, and drives automation in reporting and forecasting, while acting as a strategic partner to leadership.

As a Commercial Account Executive, you will drive new business and expand relationships with major enterprise accounts through effective sales strategies and collaboration with internal teams while achieving revenue targets.

The Director of Brand Marketing will lead brand growth through digital-first strategies, managing social media, influencers, and community programs while connecting brand storytelling to business performance.

As a Business Intelligence Analyst, you'll develop risk-focused analytics, manage data, support decision-making, and collaborate with teams to ensure alignment with business objectives.

Lead the Market Risk Analytics team to assess market risks across energy sectors, develop risk models, and ensure effective governance and decision-making.

The Customer Success Manager will analyze customer data to identify trends, manage at-risk accounts, and develop programs for customer growth and retention.

Design, build, and operationalize a scalable engineering analytics platform: pipelines, integrations, semantic layer, and BI dashboards. Define and enforce engineering KPIs (DORA, delivery health, quality), ensure data quality/governance, and deliver insights to engineering leadership to drive operational improvements.

The AI Sales Development Manager will define targeting strategies, create personalized outreach messages, analyze performance metrics, and iterate on sales processes for effectiveness.

The Analytics Manager, GTM at Docker will develop and manage dashboards for the Sales team, leveraging SQL and data to drive pipeline generation through actionable insights, while ensuring data accuracy and usability.

The role involves designing and implementing SAP-based data and analytics solutions using SAP Analytics Cloud, dashboards, and reporting. Candidates should work with cross-functional teams to align reporting requirements and present data insights to stakeholders.

Design and build scalable distributed ingestion services; maintain event pipelines and collaborate with multiple teams. Ensure system reliability and improve code practices.

The AI & Analytics Engineer I role involves building AI agents, developing data models, and supporting data quality using Microsoft Fabric and related technologies, under senior guidance.

As a Platform Expert at Motion, you'll provide customer support and troubleshooting, translate client feedback into product ideas, and maintain internal technical knowledge bases, ensuring effective communication between clients and the engineering team.

Design, build, and deploy scalable ML solutions using GCP and Vertex AI. Collaborate with teams to operationalize models and monitor performance.

The Senior Client Analytics Partner will help B2B clients optimize marketing strategies and measure success through advanced analytics, reporting, and client collaboration.

As a Senior Engineer on the Data Platform team, you will design and build data pipelines and optimize storage systems to enhance analytics and machine learning capabilities.

The Analytics Engineer will design data models, build pipelines, and ensure data quality to support AI evaluation and insights.

The Clinical Pharmacist leverages clinical expertise and analytics to identify cost-saving opportunities, analyze healthcare data, and drive strategic initiatives for improved care quality and efficiency.

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

The Enterprise Account Executive will target Fortune 500 brands, managing complex sales cycles, building relationships, and navigating organizational structures to close large deals in a self-sourced pipeline.

The GenAI Engineer will design, build, and deploy Generative AI solutions, focusing on reinforcement learning and multi-agent workflows, while collaborating with various teams to enhance model performance.

Design and lead the development of cloud-native Generative AI platforms and solutions, ensuring scalability, security, and integration with enterprise applications.

Manage customer analytics and insights for the Customer Success team, developing dashboards and risk targets while improving data integrity and visibility.

Lead a regional renewals analytics team supporting group benefits clients. Oversee renewal analyses, financial modeling, carrier negotiations, and client-ready reporting. Coach analysts, ensure data integrity and consistency, partner with consultants and actuarial teams, and drive process and tool improvements (including PowerBI adoption).