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Data Analytics Manager Jobs in Calgary, AB (NOW HIRING)

... analytics specialist. The emphasis shifts from database maintenance, backups, patching, and ... Knowledge of Azure SQL, Azure PostgreSQL, Oracle, or similar managed database services.

Develop and manage our central data warehouse in Google BigQuery . * Design and implement data ... Build reliable transformation workflows that support analytics, reporting, and data science ...

Build interactive Power BI dashboards that make analytical output usable by branch managers, regional leadership, and corporate executives. * Develop reusable Power BI templates and data structures ...

New

... data analytics, connected systems, and APIs to optimize sales performance, forecasting accuracy ... CRM platforms and digital tools, with exposure to API integrations or data-driven sales ...

Showing results 41-60

Data Analytics Manager information

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive as a data analytics manager?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Calgary, AB? The most popular types of Data Analytics jobs in Calgary, AB are:
What are popular job titles related to Data Analytics Manager jobs in Calgary, AB? For Data Analytics Manager jobs in Calgary, AB, the most frequently searched job titles are:
What cities near Calgary, AB are hiring for Data Analytics Manager jobs? Cities near Calgary, AB with the most Data Analytics Manager job openings:
Infographic showing various Data Analytics Manager job openings in Calgary, AB as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Cloud Data Analyst/ DBA

hireVouch

Calgary, AB

Contractor

Posted 14 days ago


Job description

Cloud DBA 
6 month contract - onsite downtown Calgary

This role represents the evolution of a traditional Database Administrator into a cloud-focused data and analytics specialist. The emphasis shifts from database maintenance, backups, patching, and infrastructure administration toward data analysis, query performance optimization, cloud database configuration, observability, troubleshooting, and platform enablement.

Desired Skills & Experience

  • Strong SQL and data analysis capabilities across relational database platforms.
  • Experience optimizing queries, indexes, and workloads for cloud-hosted databases.
  • Knowledge of Azure SQL, Azure PostgreSQL, Oracle, or similar managed database services.
  • Experience with database monitoring, performance tuning, capacity planning, and operational triage.
  • Ability to analyze application data usage patterns and recommend improvements for scalability, performance, and cost optimization.
  • Familiarity with Infrastructure as Code, automation, and cloud-native operational practices.
  • Experience supporting application modernization and cloud migration initiatives.
  • Knowledge of analytics, reporting, visualization, or data science techniques is considered an asset.

Primary Focus Areas

  • Query optimization and performance analysis.
  • Cloud database configuration and operational support.
  • Application workload assessment and remediation.
  • Data quality, reporting, and analytics enablement.
  • Monitoring, observability, and incident triage.
  • Automation and operational efficiency improvements.