Top Analytics Jobs in Calgary

As an Analyst in the Go-To-Market Operations & Analytics team, you will provide data-driven insights to enhance decision-making and execution in Revenue operations. This role involves creating analyses to assess performance, defining KPIs, and automating analytics processes to support segment strategies and optimize partnerships.

The Manager of Data Analytics and Performance will lead the performance, data, and reporting programs for Enbridge's Power assets, managing a team of engineers and analysts. Responsibilities include overseeing equipment performance monitoring, executing data analytics strategy, managing asset reporting, and ensuring accurate reporting for business partners. Additionally, the role involves external engagement to stay aligned with industry trends.

As an Analytics Lead, you'll oversee end-to-end research studies, analyze data, collaborate on strategy development, mentor junior team members, and create impactful insights and reports. Your role involves leveraging data to enhance client strategies and contribute to thought leadership in the marketing analytics sector.

The Process Analyst will develop and support strategic plans by performing process variance analysis, root cause analysis, process documentation, and simulation. They will assist in process mining initiatives, provide data-driven insights, document processes for automation opportunities, and identify process inefficiencies. Strong communication and analytical skills are essential.

As the Analytics Engineering Manager, you will lead the analytics engineering team, develop data solutions that drive business impact, ensure deep product understanding, and manage data pipelines while integrating AI technologies. You will oversee the creation of analytics tools while collaborating closely with product and data science teams to ensure effective data-driven decision-making.

The People Analyst at Fortis Games will advance people analytics through establishing data infrastructure, developing reports, conducting analyses, and supporting Workday operations. Responsibilities include dashboard creation, stakeholder partnership, survey management, and ensuring data accuracy and governance to drive data-driven decisions.

As a Senior Data Analytics Developer, you will contribute to building data models and data marts, as well as enhancing data observability. You will work with advanced technologies to create scalable data pipelines and collaborate with teams to define data requirements, optimize processes, and ensure data standards are met.

The Head of Analytics will lead the data and analytics team to shape the data strategy, provide actionable insights, and drive data-informed decisions across the organization. Responsibilities include collaborating with leadership to embed analytics in business strategies, ensuring scalable data infrastructure, enforcing data governance, and leading advanced analytics projects.

The Data Scientist II - Product Analytics role at Coursera involves creating dashboards, analyzing A/B test outcomes, and providing actionable data-driven insights to improve product experiences. You will collaborate with Product Managers to enhance decision-making through analytics, leveraging Coursera's extensive learner data to drive innovative product development.

The Lead of Implementation Science and Advanced Analytics will design and implement data-driven products using advanced analytical models and statistical study designs. Responsibilities include developing predictive models, collaborating with cross-functional teams, and communicating analytical findings to diverse audiences, all while championing innovation in the pharmaceutical and medical research sectors.

The Senior Manager, Advanced Analytics will lead the development and implementation of statistical models and machine learning algorithms to optimize pricing, forecast sales, and improve event scheduling. The role involves collaborating with cross-functional teams, developing dashboards, and translating business problems into analytic solutions to drive revenue growth in sports and entertainment.

As a Senior Analyst in CS Strategy and Analytics, you will provide data-driven insights, architect technical solutions, and support leadership on strategic initiatives. You will analyze complex data sets to identify trends, drive operational excellence, and enable data-driven decision-making across multiple teams. Your collaboration with various departments will impact Clio's growth and efficiency.

The IT Director of Data Management & Analytics will lead cross-functional teams to deliver data capabilities supporting enterprise needs. Responsibilities include fostering a culture of continuous improvement, driving product management, providing thought leadership in analytics and data science, and collaborating on data integration. The role requires strategic problem-solving and strong leadership. Candidates must have extensive experience in data science and management, along with effective communication skills.

As the Senior Director of Data Analytics Engineering at McAfee, you'll lead the Enterprise Data Analytics team, drive data ownership and governance, oversee data curation, and manage a cross-functional team of data professionals. You'll align data initiatives with business objectives and ensure data quality meets organizational needs.

The Finance Analytics Manager will develop and maintain Power BI solutions to enhance business performance and support strategic decision-making. Responsibilities include designing KPIs, conducting data analysis, integrating data from various sources, and providing user training. The role requires collaboration with stakeholders, optimization of Power BI reports, and continuous improvement of BI solutions.

The HR Data and Analytics Specialist at Wealthsimple will manage HR data governance, metrics, and analytics, develop reports using Workday, and support HR tech projects. Their role includes robust data analysis, reporting, and providing insights to optimize HR operations and ensure data compliance.

The Data Scientist will use expertise in AI, machine learning, and data mining to design and build advanced analytics solutions. Responsibilities include collaborating with teams, developing models, and communicating results to business partners to address their needs.