Financial Data Analyst Jobs
Financial Data Analyst jobs are open across finance, healthcare, retail, and technology, at every level from entry-level to senior and lead, with specializations in business intelligence, predictive modeling, and risk analytics. Find a role that fits from the openings below and apply directly.
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Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
How you will make an impact:
The BioProduction Group (BPG) drives $3B yearly revenue through a diverse set of businesses operating in a broad breadth of market segments. We continue to grow our data analytics functional support to enable these businesses as we aim to become an FP&A center of excellence. Our business is known as the fastest growing across the organization, and this is your chance to join us!
We are looking for a key member to join the Digital Finance team for BioProduction Group (BPG) Finance. The Sr. Financial Analyst, Data Analytics will drive integrity, accuracy, and consistency for financial reporting. This role will lead and support various Finance data initiatives to help drive forward growth and profitability of the business. Your responsibilities will encompass the development of Business Intelligence solutions, the creation of data visualization tools, assisting the Group in the automation of reports, the enhancement of data collection, and the optimization of analytics processes. The ideal candidate will apply analytics tools to generate actionable insights, improve decision-making efficiency, address business challenges, and ensure multi-functional and business reporting alignment.
Key Responsibilities:
- Serve as a data and technical expert to the BPG Commercial and Business Finance teams to develop scalable, data-driven solutions, models, and dashboards to derive insights, supervise business performances, and support business strategies and goals.
- Partner with IT/Financial Systems to ensure data accuracy and integrity across all analytics initiatives and evaluate solutions to guarantee all requirements are met.
- Provide recommendations and assistance to empower business users in effectively using analytics tools and interpreting data insights.
- Champion other ad-hoc projects and initiatives, as assigned or as self-identified areas for improvement.
- Stay updated with the latest industry trends and technologies in data analytics to improve processes and solutions continuously.
- Observe and understand business processes and capable of identifying reoccurring business challenges and propose data-driven solutions to assist problem solving.
Minimum Requirements/Qualifications:
- Degree in finance, mathematics, data science, or other business-related subject areas.
- 3+ years of work experience in data analytics, business intelligence, finance, commercial analytics, or related field.
- Proficiency in Excel, SQL, and Power BI. Python or R experience preferred.
- Independent problem solver with a focus on continuously improving operations.
- Strong analytical and problem-solving skills, and experience of building in-depth relational databases/financial models.
- Accept challenges in a continuously evolving environment using excellent judgment and creative problem-solving skills.
- Ability to effectively communicate and collaborate with senior management.
- Demonstrated experience in a large, multinational, heavily matrixed organization.
Compensation and Benefits
The salary range estimated for this position based in Massachusetts is $103,100.00–$135,000.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
- A choice of national medical and dental plans, and a national vision plan, including health incentive programs
- Employee assistance and family support programs, including commuter benefits and tuition reimbursement
- At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
- Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
- Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards
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Find Financial Data Analyst JobsFinancial Data Analyst Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- OneMain Financial13

- Kestra Financial12

- Ally Financial10

- LPL Financial10

- CVS Health8

Top Industries Hiring
- Banking & Financial Services47
- Investment & Asset Management35
- Consulting & Professional Services28
- Insurance23
- Technology & Software22
What Employers Look For
The qualifications that appear most often in financial data analyst jobs.
- Proficiency in SQL for querying and manipulating large financial datasets
- Experience with data visualization tools such as Tableau or Power BI
- Bachelor's degree in finance, statistics, economics, mathematics, or a related field
- Ability to build and interpret financial models, forecasts, and variance analyses
- Familiarity with Python or R for statistical analysis and automation
- Strong communication skills to present data findings to non-technical stakeholders
Tips for Your Financial Data Analyst Job Search
Quantify impact on your resume
Financial data analyst resumes get dismissed when they list tools without outcomes. Replace 'used SQL and Tableau' with what you actually delivered: reduced report turnaround, flagged revenue discrepancies, or improved forecast accuracy. Hiring managers scan for numbers tied to business results.
Tailor your portfolio to the industry
A portfolio built around retail transaction data won't land you a role in financial services risk analytics. Mirror your sample projects to the industry you're targeting, whether that's credit modeling, claims analysis, or budgeting variance. Relevance matters more than volume.
Apply early to roles that fit
Migrate Mate lists financial data analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by required tools before applying
Many financial data analyst postings require a specific stack: Power BI, Python, SAS, or Hyperion. If a posting weights a tool you don't use daily, that's a signal to self-assess before applying, or to run a short project in that tool before your resume goes out.
Prepare a case study answer for interviews
Expect at least one interview question asking you to walk through an analysis you've done end to end, from data sourcing to recommendation. Rehearse one strong example where your output directly influenced a financial or operational decision, not just a dashboard you built.
Negotiate scope before you negotiate salary
Before accepting an offer, clarify what data access, tooling, and stakeholder relationships the role actually includes. Financial data analyst titles vary widely in seniority and real influence. Understanding what you'll own day one gives you grounded context for the rest of the negotiation.
Financial Data Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most financial data analysts?
The companies hiring the most financial data analysts right now include OneMain Financial, Kestra Financial, and Ally Financial, with the largest share of openings in Texas, New York, and California, based on current listings on Migrate Mate as of June 2026. Demand is consistently strong at banks, insurance carriers, and large healthcare systems.
How many financial data analyst jobs are remote?
About 34% of financial data analyst openings are fully remote or hybrid as of June 2026, making it one of the more flexible roles in the finance field. Sub-specializations in business intelligence reporting and financial modeling tend to carry the highest share of remote-eligible postings, while roles tied to trading systems or real-time risk monitoring more often require on-site presence.
How do you become a financial data analyst?
Start with a degree in finance, economics, statistics, or a related quantitative field, then build hands-on proficiency in SQL, Excel, and at least one visualization tool like Tableau or Power BI. Supplement with a Python or R course focused on financial applications. Build a portfolio of real or simulated analyses, such as budget variance or churn modeling, and apply to entry-level analyst or junior data roles to get your first professional dataset experience.
Can you get a financial data analyst job with little or no experience?
Yes, entry-level financial data analyst roles exist specifically for candidates without professional experience, though you'll need to demonstrate applied skills through other means. Employers respond well to portfolio projects built around publicly available financial datasets, relevant coursework in statistics or accounting, and internships even outside the finance sector. Roles at insurance companies, credit unions, and mid-size retailers tend to be more open to early-career candidates than large investment banks.
What does the financial data analyst interview process look like?
Most financial data analyst interviews run across two to four rounds. The first is typically a recruiter screen covering your background and tool familiarity. A technical round follows, often including a SQL or Excel exercise and questions about how you've approached an analysis problem. Final rounds usually include a case study or take-home assignment where you interpret a dataset and present findings, followed by a behavioral interview with the hiring manager or team lead.
Where can I find and apply to financial data analyst jobs?
You can find and apply to financial data analyst jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your skills and experience level, then apply directly to each one that fits.
See All 218+ Financial Data Analyst Jobs
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