Microsoft Fabric Data Analyst

Job description

Description

Our client looking to hire a direct placement Microsoft Fabric Data Analyst to their team.

Our client is continuing its data transformation journey and is looking to hire a full-time Microsoft Fabric Data Analyst to help drive their enterprise data strategy forward.

This role offers flexibility—hybrid or onsite in Appleton, WI.

They will consider 100% remote for the right candidate.

This person must bring hands-on experience with Fabric—not just familiarity with similar platforms—and be ready to take ownership of the existing solution and expand it.

Strong Power BI skills are essential for creating visualizations that support enterprise reporting.

The role also requires a collaborative mindset, a willingness to jump in and support service tickets, and the ability to guide stakeholders while keeping the vision on track amidst competing voices.

Our client is consolidating data across its organization and newly acquired company, KASE, and is committed to building a best-in-class data environment.

Data governance is on the roadmap, and this analyst will play a foundational role in shaping that future.

Our client is accelerating a modern, AI-centered data platform on Microsoft Fabric.

We’re hiring a Data Analyst who can translate business questions into reliable, decision-ready insights—fast.

You’ll partner daily with Finance, Operations, Customer Service, and HR, shaping requirements, validating data, and delivering clear, print-friendly Power BI reports and self-service datasets.

You’ll work side-by-side with Data Engineers to convert curated warehouse tables into trusted metrics, dashboards, and narratives that drive action across business units (Fulfillment, Traditional, Chemical, Transportation).

Must-haves:

•SQL (strong): confidently join across multiple sources and very large tables (many columns, million + rows); write efficient queries (filters before joins, window functions, CTEs where appropriate), and interpret query plans to tune performance.

• Data sourcing & mapping: define and maintain source-to-target mappings, conformed dimensions/keys, lineage, and KPI definitions; reconcile semantics across systems to ensure one version of the truth.

• Cross-source storytelling: pull data from multiple systems to deliver a single, coherent narrative and self-service dataset; shape a consistent, print-friendly user experience end-to-end.

• Power BI: semantic modeling, DAX, RLS, usability, and visualization best practices.

• Business partnership: engage Finance, Operations, Customer Service, and HR to clarify definitions, prioritize needs, and iterate quickly.

• AI in the loop: use Copilot for Power BI/Fabric and other AI tools to speed analysis, documentation, and the end-user experience.

What You’ll Do

• Partner with the business: Run structured discovery with Finance, Operations, Customer Service, and HR; translate goals into well-defined KPIs, dimensional definitions, and acceptance criteria.

• Model for analysis: Shape semantic models and Power BI datasets (relationships, DAX measures, hierarchies, RLS) that align to curated warehouse/lakehouse tables delivered by Engineering.

• Build decision-ready visuals: Create readable, print-friendly reports and dashboards (executive summaries, drill-downs, paginated layouts when needed) that answer the “so what?”

• SQL-driven analysis: Profile data quality, reconcile totals, trace lineage, and author performant queries to validate numbers and accelerate insight generation.

• UAT & data quality: Define test cases, execute user acceptance testing, reconcile to source systems (WMS/OMS/ERP/HRIS), and document known caveats and SLAs.

• AI-assisted workflows: Use Copilot/NLQ to draft measures, generate narrative summaries, create how-to guides, and surface “explain this insight” experiences.

• Documentation & enablement: Maintain data dictionaries, KPI definition sheets, and short “how to use this report” guides; run training for power users and frontline managers.

• Adoption & support: Monitor usage, gather feedback, prioritize enhancements, and partner with Data Engineers to address data gaps or performance issues.

• Governance & security: Apply RLS/OLS, certify datasets, tag sensitivity, and contribute to catalog/lineage so users can trust what they’re using.

Required Qualifications

• 3+ years in analytics, BI, or FP&A-adjacent analyst roles producing executive-ready dashboards and KPI packs.

• SQL (strong): confident writing joins, window functions, CTEs; performance-minded validation queries.

• Power BI expertise: semantic modeling, DAX, RLS, bookmarks/drill-through; ability to design clean, business-friendly visuals.

• Experience partnering with Finance, Operations, Customer Service, and/or HR; comfortable reconciling to ledgers, inventory/shipments, labor/time, and service metrics.

• Familiarity with Microsoft Fabric concepts (Warehouse/Lakehouse tables, Dataflows Gen2, OneLake) and how analysts consume curated data.

• Excellent communication—able to define terms precisely, write clear documentation, and facilitate decisive UAT.

• Evidence of using AI tools (Copilot for Power BI/Fabric, LLM-assisted docs) to improve speed and quality.

Nice to Have

• Statistics for business analysis (variance, cohort, seasonality), A/B or test-and-learn literacy.

• Excel power-user skills (Power Query, pivots) for ad-hoc reconciliation.

• Light Python for data wrangling or reproducible analysis notebooks.

• Exposure to 3PL/logistics domains (WMS/OMS/ERP), SLA/reporting in operational environments.

Skills

Sql, Data, Data analysis, Power bi, Sql queries

Top Skills Details

Sql,Data,Data analysis,Power bi

Additional Skills & Qualifications

• Lead time to value: median days from intake to first-draft report/dataset.

• Adoption & satisfaction: weekly/monthly active users, stakeholder CSAT, repeat usage of certified datasets.

• Accuracy & reliability: UAT pass rate, reconciliation deltas, on-time refresh %.

• Documentation & governance: % of reports with a KPI sheet, certified datasets with RLS, catalog completeness.

• AI impact: time saved or features delivered using Copilot/NLQ; user feedback on AI-powered experiences.

Reporting & Structure

• Reports to: IT Manager, Data & Analytics (aligned with the Data Engineer team).

• Collaborates with: Data Engineers, Product Owners/BAs, and business leaders across Finance, Ops, CS, HR.

Experience Level

Expert Level

Pay and Benefits

The pay range for this position is $ - $

**will share if a candidate is being submitted**

Workplace Type

This is a hybrid position in Appleton,WI.

Application Deadline

This position is anticipated to close on Oct 10, 2025.

h4>About TEKsystems:

We're partners in transformation.

We help clients activate ideas and solutions to take advantage of a new world of opportunity.

We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia.

As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change.

That's the power of true partnership.

TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services.

We accelerate business transformation for our customers.

Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions.

We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed.

We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology.

We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities.

TEKsystems and TEKsystems Global Services are Allegis Group companies.

Learn more at

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Required Skill Profession

Mathematical Science Occupations