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Data Solutions Analyst, Business Enablement
Steel Reef
Calgary, CAN
Full Time
Mid
Onsite
1 weeks ago
Microsoft FabricPythonSQLPower BIPySparkData Pipelines
Free
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Microsoft FabricPythonSQL
About the Role
Steel Reef is seeking a Data Solutions Analyst to design, build, and support scalable data solutions using Microsoft Fabric. The role involves building data pipelines, developing Python notebook-based solutions, and integrating data across enterprise systems.
Key Skills for This Role
Microsoft FabricPythonSQLPower BIPySparkData Pipelines
Responsibilities
- Design, build, and maintain scalable data pipelines, transformations, and reusable data assets to support analytics and reporting needs.
- Develop data solutions in Microsoft Fabric using Python notebooks for ingestion, transformation, and data processing.
- Implement and support medallion architecture (bronze, silver, gold layers) to improve data quality, structure, and usability.
- Translate business and reporting requirements into practical data designs and technical solutions.
- Develop and deliver solution components such as services, integrations, automation scripts, applications, or platform extensions.
- Partner with business stakeholders to understand data needs, reporting objectives, and process challenges.
- Identify opportunities to simplify data processes, reduce manual effort, and improve reusability of data assets.
Requirements
- Post secondary education in computer science, information systems, engineering, data analytics, or a related discipline
- Hands on experience with Microsoft Fabric (or similar platforms), including development using Python notebooks, SQL, and data transformation techniques
- Experience with PySpark / Spark, Power BI (semantic models/reporting), and Git based development practices
- Experience integrating enterprise systems (APIs, file based ingestion) into analytics platforms
- Experience building and supporting data pipelines, integrations, and curated datasets
- Understanding of data quality, validation, governance, security, and best practices across cloud data platforms
- Strong analytical, problem solving, and communication skills
Full Job Posting
Position Profile
- Steel Reef is seeking a Data Solutions Analyst to join our Calgary team.
- In this role, you will design, build, and support scalable, secure, and business aligned data solutions that enhance reporting, analytics, automation, and data driven decision making.
- This is a hands on, delivery focused role with responsibilities spanning data development, software development, and integration development.
Key Responsibilities
- Design, build, and maintain scalable data pipelines, transformations, and reusable data assets.
- Develop data solutions in Microsoft Fabric using Python notebooks.
- Implement and support medallion architecture (bronze, silver, gold layers).
- Translate business and reporting requirements into practical data designs and technical solutions.
- Design and support scalable data models, transformation processes, and integration patterns.
- Develop and deliver solution components (e.g. services, integrations, automation scripts, applications, or platform extensions).
- Contribute quality code including unit tests and technical documentation.
- Partner with business stakeholders to understand data needs, reporting objectives, and process challenges.
- Work closely with the Business Enablement team to deliver data solutions.
- Identify opportunities to simplify data processes, reduce manual effort, and improve reusability of data assets.
- Contribute to standards, templates, and development practices.
- Stay current with evolving Microsoft Fabric capabilities, AI roadmaps, and data engineering best practices.
Required Skills, Experience & Education
- Post secondary education in computer science, information systems, engineering, data analytics, or a related discipline.
- Hands on experience with Microsoft Fabric (or similar platforms), including development using Python notebooks, SQL, and data transformation techniques.
- Experience with PySpark / Spark, Power BI (semantic models/reporting), and Git based development practices.
- Experience integrating enterprise systems (APIs, file based ingestion) into analytics platforms.
- Experience building and supporting data pipelines, integrations, and curated datasets.
- Understanding of data quality, validation, governance, security, and best practices across cloud data platforms.
- Strong analytical, problem solving, and communication skills.
Why Join our Team
- Competitive compensation and bonus programs
- Competitive benefit package, including a Flex Spending Account and Savings Plan matching
- Monthly phone allowance
- 8 hours of annual paid Volunteer time
- Team building activities
- Various recognition reward programs
- Ability to contribute to a dynamic organization with large growth ambitions
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