Financial Data Analyst

About the role

Join our Finance BI team as an early-career analyst who’s as comfortable with a trial balance as with a SQL query. You’ll learn our Microsoft Fabric platform (SQL and Python notebooks, Power BI) on the job and grow into our Finance Data & Automation Analyst role. You’ll start by running and checking existing processes, then build new ones with a senior colleague reviewing your work.

What you’ll do

• Support month-end close: run the refresh checklist, tie outputs to the trial balance, and chase down breaks
• Write SQL or Python data-quality checks and investigate what they find
• Maintain Power BI and Excel reports and answer data questions from regional finance
• Build small tables, notebooks and measures under senior review
• Keep runbooks and the data dictionary current

What you’ll bring

• A bachelor’s or master’s degree in accounting, finance, information management or computer science (completed or completing by your start date)
• 0–2 years of experience. Internships, part-time jobs and class projects count
• Accounting basics: double entry, accruals, trial balance to financial statements, reconciliations
• SQL (joins, grouping) and Python pandas basics
• A dashboard you’ve built in Power BI or Excel; comfort with lookups and pivot tables
• Care with numbers, the habit of asking when unsure, and clear written English

Nice to have

• CTEs or window functions in SQL
• DAX, Fabric lakehouse experience or a PL-300 certificate
• Git, PySpark or Jupyter/Fabric notebooks
• Power Query
• CPA exam subjects passed
• Consolidation, intercompany or FX translation knowledge
• Experience using AI tools while checking every result against the source
• A class or personal project you can demo
• Mandarin Chinese