Remote Finance Data Analyst Jobs
Remote Finance Data Analyst jobs are open across the U.S. at remote-first firms, distributed financial services teams, and tech-forward companies in sectors like fintech, insurance, and software. Employers hiring right now include SCALE MEDIA, Vanta, and Lambda. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 11+ Remote Finance Data Analyst jobs
Position Summary
- Own M&D’s finance data and reporting environment, including the cloud data warehouse (Snowflake) and the Power BI reporting layer, integrating data from multiple ERP systems across U.S., Canada and Mexico operations.
- Build, automate and maintain daily sales and gross margin reporting and other recurring management reports, replacing manual, Excel-based processes with automated, refreshable solutions.
- Establish and maintain standard definitions for key metrics such as sales, gross margin, inventory and working capital, creating a single source of truth used consistently across Finance and Operations.
- Rationalize the company’s dashboard and report portfolio by identifying overlaps, retiring duplicate reports and consolidating into a governed, well-documented set.
- Provide timely, reconciled data to support the monthly close, budgeting, forecasting, and board and lender reporting, and maintain the data feeds into the company’s FP&A planning and consolidation platform.
- Ensure data accuracy and integrity through reconciliation to the general ledger, data quality checks, documentation and appropriate access controls.
- Partner with Accounting, FP&A, Operations, Sales and IT to gather requirements and deliver analytics that support pricing, margin, inventory and branch performance decisions.
- Lead the transition of reporting work from interim and consulting resources into a documented, internally owned function, and manage relationships with outside data and reporting vendors.
- Identify and implement opportunities to improve efficiency through automation and AI-enabled analytics.
- Train and support business users on reporting tools, and over time build and lead a small team of analysts as the function grows.
- Perform other duties as assigned by supervisor.
- Bachelor’s degree in Finance, Accounting, Information Systems, Computer Science or a related field; MBA or relevant master’s degree preferred.
- 8+ years of experience in business intelligence, data analytics or financial reporting, including building and supporting enterprise reporting solutions.
- Advanced proficiency in Power BI (data modeling, DAX, report design) and SQL; experience with cloud data platforms such as Snowflake, Microsoft Fabric or Azure.
- Solid understanding of financial statements, gross margin and core FP&A concepts, with the ability to reconcile reporting to the general ledger.
- Experience integrating data across multiple ERP systems; experience with post-acquisition data integration preferred.
- Experience establishing KPI definitions, reporting standards and data governance practices.
- Experience leading or mentoring analysts, or leading cross-functional reporting projects.
- Strong communication skills, with the ability to translate complex data into clear insights for executives and non-technical users.
- Self-directed and able to work effectively in a remote environment; occasional travel to company locations may be required.
- Microsoft data certifications (such as PL-300, DP-600 or DP-700) are a plus.
- Successful completion of pre-employment background and drug screening.
- Fosters good coworker citizenship and contributes to a positive work environment.
- Prolonged periods sitting at desk and working on a computer
- Ability to lift, move, and carry objects to 15 lbs.
- Exposure to a typical office or home office environment, with occasional travel to company locations
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Find JobsRemote Finance Data Analyst Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote finance data analyst jobs.
- Proficiency in SQL for querying financial databases and building reporting pipelines
- Experience with data visualization tools such as Tableau, Power BI, or Looker
- Strong knowledge of Excel including financial modeling, pivot tables, and VBA
- Bachelor's degree in finance, economics, statistics, mathematics, or a related field
- Familiarity with financial statements, GAAP principles, and accounting concepts
- Experience with Python or R for data analysis, automation, or statistical modeling
Tips for Your Remote Finance Data Analyst Job Search
Apply early to remote roles that fit
Migrate Mate lists remote finance data analyst openings from across the U.S. in one place. Search roles by function and apply directly to the ones that match your skills and availability before postings close.
Show async financial work in your portfolio
Remote employers want proof you can analyze and communicate without a whiteboard. Build a portfolio of financial models, dashboards, or written variance analyses that demonstrate you produce clear, self-contained output others can act on without asking you questions.
Lead with written communication in every application
Remote finance data analyst roles depend on written clarity more than in-office ones do. Use your cover letter and any take-home exercise to show concise, structured thinking, since distributed teams judge whether they can rely on your written updates and commentary.
Name your remote finance tools explicitly
Distributed finance teams run on specific stacks: SQL databases, Python or R for analysis, Tableau or Power BI for reporting, and cloud finance platforms. Call out the exact tools you've used in a remote or independent context so hiring managers can match you to their workflow immediately.
Remote Finance Data Analyst Jobs: Frequently Asked Questions
How do I get a remote finance data analyst job?
Target remote-first companies and distributed teams that have already built infrastructure for async financial reporting and analysis. Remote employers screen hard for self-direction, clear written communication, and proficiency in SQL, Python, or financial modeling tools you can use independently. Candidates who can demonstrate they've delivered analysis and commentary without hand-holding, documented their own work clearly, and collaborated across time zones without daily check-ins consistently stand out.
Which companies hire remote finance data analysts?
Employers currently hiring remote finance data analysts include SCALE MEDIA, Vanta, and Lambda, per current remote listings on Migrate Mate as of November 2026. Remote-first fintech companies, distributed SaaS businesses, and large financial services firms with decentralized teams make up the bulk of remote openings for this role.
Can you get a remote finance data analyst job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to work independently from day one with minimal oversight. Remote-first startups and fintech companies are the most likely to hire entry-level candidates. What opens doors is showing tangible output: a portfolio of financial models, dashboards built in Tableau or Power BI, or publicly documented analysis projects that prove you can produce clean, structured work without supervision.
Do you need a degree for remote finance data analyst jobs?
Not always. Many remote employers care more about demonstrated skill in SQL, financial modeling, and data visualization than a specific credential. That said, a degree in finance, economics, statistics, or a related field still appears in most job postings. Candidates without one can offset it with a strong project portfolio, relevant certifications, and verifiable results from freelance or contract finance work.
Which industries hire the most remote finance data analysts?
Most remote finance data analyst openings sit in Technology & Software, per current remote listings on Migrate Mate as of November 2026. These sectors lean heavily on distributed teams and generate the kind of continuous financial data that makes full-time remote finance analyst roles practical and common.
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