Power BI Financial Data Analyst

Overview

On Site
$80,000 - $100,000
Full Time

Skills

Power BI
finance
business

Job Details

Business-minded Power BI / Microsoft Fabric Data Analyst with a strong finance background who can deliver immediate financial reporting (e.g., real-time AR aging) and maintain SQL-driven feeds into our new Fabric Lakehouse/Warehouse. The role combines deep Power BI, T-SQL and practical data-science skills with finance acumen to transform raw data into actionable insight and accelerate our migration to a modern data-warehouse framework.

Qualifications:

  • Education / Experience Business-finance degree (or equivalent) + 3-5 yrs in data analysis or reporting.
  • T-SQL (3-5 yrs) complex queries, PIVOT, cursors, stored procedures.
  • Power BI expertise dataset & workspace governance, advanced visuals, DAX mastery (time-intelligence, aggregations).
  • Fabric / Data-warehouse exposure Lakehouse tables, Warehouse views, Data Factory pipelines, Direct Lake mode (preferred).
  • ETL & data-quality controls incremental loads, closed-period logic.

Essential Functions:

  • Understand business operations & KPIs; translate finance questions (month-end close, budgeting, forecasting) into data requirements.
  • Develop Fabric Lakehouse / Warehouse models and star schemas linking financial facts to time, customer and product dimensions.
  • Author Data Factory / Fabric Dataflow pipelines for automated, incremental loads feeding Power BI.
  • Create and maintain Power BI dashboards with advanced DAX measures for real-time insight (AR aging, revenue trends).
  • Apply practical statistics (variance, trend analysis) and math ops (averages, ratios) to highlight risk/opportunity.
  • Write, tune and document T-SQL objects that supply downstream financial systems and the Fabric Warehouse.
  • Partner with stakeholders to present findings in clear business language and recommend actions.
  • Ensure governance & data quality document lineage, enforce OneLake naming/security, and follow SOX/PCI requirements.
  • Performs other tasks as assigned.

Knowledge / Skills / Abilities:

  • Business Knowledge / Acumen deep understanding of financial operations, KPIs & reporting cycles (AR, budgeting).
  • Relational Data Skills proven star-schema modelling in Power BI / Fabric.
  • Data-Science Skills apply math & statistics in DAX; forecast & detect variance drivers.
  • Traits analytical, collaborative, business-focused, detail-oriented; able to maintain confidentiality.
  • Other duties as assigned.

Candidate Details

2+ to 5 years of experience

Seniority Level - Associate

Management Experience Required - No

Minimum Education - Bachelor's Degree

Willingness to Travel - Never

Screening Questions
Are you based in Louisville, Kentucky?
Are you fluent in Power BI can you build executive-ready dashboards working independently?
Do you have a working knowledge of SQL Pro comfortable writing the queries that feed those dashboards?
Are you an individual who speaks finance and business as well as data understands AR, budgeting, month-end, etc.?
Do you have 3-5+ years of experience in this exact position in a corporate setting?
Salary Expectation?
Interview Availability?

Ideal Candidate
Business-minded Power BI / Microsoft Fabric Data Analyst with a strong finance background who can deliver immediate financial reporting (e.g., real-time AR ageing) and maintain SQL-driven feeds into our new Fabric Lakehouse/Warehouse. The role combines deep Power BI, T-SQL and practical data-science skills with finance acumen to transform raw data into actionable insight and accelerate our migration to a modern data-warehouse framework.

We offer excellent benefits, including:

  • Competitive pay
  • Tuition assistance
  • Student loan repayment program
  • Company-paid life insurance
  • Paid vacation time and paid holidays
  • Health, dental, vision
  • An array of supplementary policies, including flexible spending accounts and healthcare savings accounts
  • 401(k)
  • PLUS the growth potential!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.