Analyst - Data Strategy and Analytics
About The Position
The Analyst - Data Strategy & Analytics will be someone who is eager to grow their technical skills and contribute to the development of our business domain data products. In this role, you’ll work with Power BI, Microsoft Fabric, and the Azure data platform to support analytics solutions across the organization. You’ll collaborate with teams in call center operations, back‑office functions, finance, and marketing to deliver high‑quality insights and help build the foundational data assets that power decision‑making. You’ll also gain hands‑on experience with semantic modeling, data governance, and prompt engineering to support AI‑enabled analytics workflows.
Requirements
- Bachelor’s degree in data science, computer science, mathematics, engineering, business analytics, or a related field.
- 1–3 years of experience in data analytics, BI development, or a related role (co‑op or internship experience counts).
- Hands‑on experience with Power BI, DAX, Power Query, and SQL.
- Exposure to the Azure data platform or Microsoft Fabric (or strong willingness to learn).
- Foundational understanding of semantic modeling (star schema, fact/dimension concepts).
- Interest or experience in prompt engineering for analytics tasks.
- Strong analytical and problem‑solving skills with attention to detail.
- Ability to communicate findings clearly to both technical and non‑technical audiences.
- Curiosity, willingness to learn, and enthusiasm for working in an agile, collaborative environment.
Responsibilities
- Support the development of domain data products by preparing datasets, assisting with semantic models, and contributing to reusable analytical assets.
- Build Power BI reports and dashboards that clearly communicate insights and support business decision‑making.
- Assist with semantic modeling using star schema concepts, dimensional modeling basics, and Fabric‑based modeling patterns.
- Work with Microsoft Fabric (Dataflows Gen2, Lakehouse, Warehouse) to ingest, transform, and prepare data for analysis.
- Use prompt engineering techniques to improve data exploration, documentation, and analytical workflows using AI copilots.
- Conduct data analysis to identify trends, patterns, and opportunities for improvement.
- Collaborate with business partners to understand requirements and translate them into analytical outputs.
- Support data governance activities including data quality checks, documentation, and metadata updates.
- Contribute to data storytelling through clear visualizations, summaries, and presentations.
- Learn from senior team members and grow your skills in analytics engineering, semantic modeling, and AI‑assisted analytics.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
