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Data Analyst Data Science Jobs in Alberta (NOW HIRING)

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

Hybrid work options ~ Howyou'llmake an impact Leverage yourexpertisein advanced analytics, statisticalmodellingand data science to unlock insights from complex internal and external data and support ...

Knowledge of analytics, reporting, visualization, or data science techniques is considered an asset. Primary Focus Areas * Query optimization and performance analysis. * Cloud database configuration ...

Own all stages of the data science project lifecycle, including: Develop, deploy, monitor, and ... Perform exploratory data analysis, proof-of-concepts, model benchmarking, and validation ...

Own all stages of the data science project lifecycle, including: Develop, deploy, monitor, and ... Perform exploratory data analysis, proof-of-concepts, model benchmarking, and validation ...

Senior Data Scientist

Calgary, AB · On-site

CA$90K - CA$160K/yr

Own all stages of the data science project lifecycle, including: Develop, deploy, monitor, and ... Perform exploratory data analysis, proof-of-concepts, model benchmarking, and validation ...

Build reliable transformation workflows that support analytics, reporting, and data science initiatives . * Monitor, troubleshoot, and optimize data infrastructure to ensure high performance ...

The Sr. Analyst, Market Data owns Capital Power's end-to-end price curve framework within the Risk Group. The role is accountable for the quality, integrity, and governance of all priceand market ...

Qualifications A Bachelor degree-preferably in computer science, computer/software engineering or other relevant programs within data engineering, data analysis, artificial intelligence, or machine ...

As an Analyst, Data & Integrations, you'll play a key role in ensuring project data is accurate, trusted, and ready for migration to S/4HANA. Working alongside the Data & Analytics team, project ...

Showing results 21-40

Data Analyst Data Science information

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.
What job categories do people searching Data Analyst Data Science jobs in Alberta look for? The top searched job categories for Data Analyst Data Science jobs in Alberta are:
What cities in Alberta are hiring for Data Analyst Data Science jobs? Cities in Alberta with the most Data Analyst Data Science job openings:
Infographic showing various Data Analyst Data Science job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

D365 Data Reporting and Analytics Analyst

Associated Engineering

Calgary, AB

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Job description

The opportunity:

Associated Engineering, a proudly Canadian, employee-owned company, is seeking an experienced Reporting and Analytics Analyst to join our team. The successful candidate Analyst will be responsible for the delivery, governance, quality, and continuous improvement of enterprise data, reporting, analytics, and business intelligence capabilities across Dynamics 365 and associated business platforms. The role supports trusted reporting and decision-making through Microsoft Fabric, Power BI, semantic models, data pipelines, governed datasets, and operational dashboards. The position provides post-implementation sustainment support, develops reporting solutions, maintains analytics standards, and works with business stakeholders to translate data needs into practical reporting and insight capabilities.

The successful candidate can be located in any of the following locations, Edmonton, Calgary, Vancouver, Saskatoon, Markham

What we offer:

  • Flexible/hybrid working arrangements, depending on position
  • Market competitive salaries, with annual reviews
  • Opportunity to become a shareholder and invest in the company’s long term growth & success
  • Matching company pension program, increasing over time
  • Comprehensive benefits including:
    • Health/dental/vision coverage
    • Fitness allowance
    • Employee and family assistance programs
    • Mental health supports
  • Paid time off so that you can recharge including:
    • Generous paid vacation
    • Paid office closure over December holiday break
    • Industry leading paid sick time
    • Maternity/paternity leave top up program
  • Ongoing support for your professional development and growth
    • Active Young Professional group
    • Formal mentoring programs
    • Paid professional development hours
    • Capacity building seminars
    • Engineer In Training programs
  • Opportunities to participate in social club activities and events
    • Company-wide social events
    • Regular lunch-and-learns
    • Community volunteer opportunities

What you’ll do:

Data, Reporting and Analytics Solution Delivery:

  • Designs, develops, enhances, and supports Power BI reports, dashboards, scorecards, key performance indicators, paginated reports, and operational reporting solutions.
  • Translates business requirements into reporting specifications, metrics definitions, semantic layer requirements, visualizations, and data models.

Microsoft Fabric and Data Platform Enablement:

  • Develops and supports Microsoft Fabric solutions including Lakehouses, Warehouses, Data Pipelines, Dataflows Gen2, OneLake-enabled assets, and governed semantic models.
  • Builds and maintains data ingestion, transformation, reconciliation, and publishing processes to support trusted enterprise reporting and analytics.

Data Governance, Quality and Security

  • Supports data governance, master data management, data quality, data lineage, data reconciliation, and reporting standards across the reporting portfolio.
  • Defines and maintains common metrics, business definitions, calculation logic, and semantic model standards to promote consistent interpretation of enterprise data.

D365 Sustainment and Continuous Improvement

  • Supports post-implementation sustainment for Dynamics 365 reporting and analytics, including issue resolution, enhancement intake, release testing, report validation, and business-as-usual support.
  • Investigates and resolves reporting and analytics issues escalated through support channels, including data discrepancies, refresh failures, model issues, calculation errors, access concerns, and report performance issues.

Stakeholder Interface and Knowledge Management

  • Acts as a bridge between business stakeholders, Digital Services, application support, data engineering, and reporting consumers.
  • Facilitates requirements discussions, report reviews, metric definition sessions, and data interpretation conversations with business users.

Does this sound like you?

  • Diploma or degree in Information Systems, Computer Science, Data Analytics, Business Administration, Commerce, Finance, Accounting, Engineering, or related discipline.
  • Equivalent combination of education, business experience, reporting experience, data platform experience, and ERP sustainment experience will be considered.
  • Microsoft Power BI Data Analyst, Microsoft Fabric, Azure Data, Dynamics 365, or related Microsoft certification is preferred.
  • Training or practical exposure in data governance, dimensional modeling, SQL, Power BI administration, Fabric administration, business analysis, financial reporting, project reporting, or KPI frameworks is an asset.
  • Rquires 5 to 8+ years of experience in enterprise data, reporting, analytics, business intelligence, or ERP reporting roles.
  • Requires 3 to 5+ years of Power BI development experience, including semantic models, Data Analysis Expressions (DAX), Power Query, report design, dashboard development, row-level security, workspace management, and performance optimization.
  • Hands-on experience with Microsoft Fabric, including Lakehouse, Warehouse, Data Pipelines, Dataflows Gen2, OneLake, semantic models, deployment practices, and governed analytics assets.
  • Experience supporting reporting and analytics for Dynamics 365 Finance and Operations, Dynamics 365 Project Operations, Customer Engagement, or comparable ERP and CRM platforms.
  • Experience with project accounting, financial reporting, operational reporting, engineering project performance reporting, executive dashboards, and KPI development is preferred.
  • Experience with SQL, dimensional data modeling, ETL/ELT approaches, data reconciliation, master data, data quality management, and enterprise reporting governance.
  • Experience in a post-implementation sustainment environment supporting business-as-usual operations, report enhancements, release validation, issue resolution, and continuous improvement.
  • Experience working with business stakeholders, technical teams, application support teams, data engineers, vendors, and managed service partners to deliver reporting outcomes.

About Us:

At Associated Engineering, were passionate about not only the work we do but the communities we live and work in. Which is why sustainability is at the heart of everything we do. As a carbon neutral company since 2009, we help shape resilient and sustainable communities across Canada.

As a Platinum Member of Canada’s Best Managed Companies since 2008, we take pride in nurturing a workplace where people thrive. We are an employer of choice providing our people with a supportive, collaborative, engaging and dynamic place to build a career, while bringing inspiration and innovation to our work.

Our company culture is shaped by:

  • Growth and development of our employees – chart your career course, whatever stage you are at!
  • A broad variety of meaningful work that supports local communities – we are a medium-sized company working on significant projects, helping to shape communities!
  • We care, we commit, we create – our promise to both clients and each other!

What’s next? Ready to make an impact? Join a company that values your ideas, invests in your growth, and empowers you to shape the future. Apply today!

Want more information?

  • Check out what a day at Associated Engineering looks like via LinkedIn
  • Our Environmental, Social and Governance Report

This posting is for an existing vacancy.

AE is an Equal Opportunity Employer and encourages women, Indigenous peoples, persons with disabilities, members of visible minorities, and members of the LGBTQ+ community to apply. For applicants with disabilities, accommodations are available upon request for candidates taking part in all aspects of the selection process. We are also committed to protecting the privacy of your personal information and as such, it will be used for recruitment and employment purposes only.