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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Job Description:
The Director, FP&A leads Confluent's corporate financial planning and analysis function and serves as a key financial partner to the Chief Financial Officer and Senior Leadership Team. This role owns the corporate FP&A calendar, including the annual budget, monthly forecast, and long-range planning processes, and is responsible for SG&A budgeting and centralized cost accounting across the organization. The Director, FP&A also leads Commercial Finance and pricing analysis, business intelligence and reporting, owns the Company's cash flow forecasting process, and leads financial due diligence and integration for M&A activity.
This position leads the corporate FP&A team and delivers value-added analysis, meaningful financial and operational metrics, and clear executive-level communication that supports insightful business decision-making.
KEY RESPONSIBILITIES
Corporate FP&A & Planning
- Own the corporate FP&A calendar and operating rhythm, ensuring appropriate information is available for internal operating reviews and Senior Leadership/Board reporting.
- Lead the Company's annual budget process, including budget guidance, timelines, tools, and templates, acting as project manager to ensure all business unit and corporate budgets are accurate, aligned, and reconcile in total.
- Lead the monthly and 12-month rolling forecast process, coordinating across Finance, Operations, Supply Chain, and Commercial to deliver a cohesive, aligned company forecast.
- Develop and monitor short-range (1-year) and long-range (3-5 year) strategic planning models in partnership with the CFO and Senior Leadership Team.
- Prepare the monthly corporate reporting package, including consolidated financial statements, KPI reporting, variance analysis, and executive-level commentary.
- Administer enterprise planning and consolidation tools, including Adaptive Planning and Epicor.
Business Intelligence & Reporting
- Own the Company's business intelligence and reporting function, leveraging Power BI and Domo to build and maintain dashboards and self-service reporting for Finance, Operations, and Commercial stakeholders.
- Establish data governance standards and consistent metric definitions across BI and reporting platforms to ensure a single source of truth for financial and operational data.
- Partner with IT and business unit finance leaders to prioritize and deliver new reporting and analytics capabilities.
SG&A & Centralized Cost Accounting
- Own budgeting, forecasting, and monthly reporting for SG&A and other centralized corporate cost centers.
- Lead centralized cost accounting processes, ensuring consistent cost methodology and reporting standards are applied across the organization.
- Own centralized LEAN capitalized labor and overhead accounting, ensuring consistent capitalization methodology and reporting across all business units.
- Partner with department leaders across the organization to monitor spending against budget and identify cost management opportunities.
Commercial Finance & Pricing
- Lead Commercial Finance support, partnering with Sales and Commercial leadership on quote analysis, customer profitability, revenue trends, and annual MSA price reviews
- Own the Company's pricing analysis function, including price/cost bridges, margin analysis by product and customer, the Company's PSR and MPR processes, month-end price measurement, and income variance analysis.
Cash Flow Forecasting
- Own the Company's cash flow forecasting process, partnering with Treasury, Controllership, and business unit finance leaders to deliver accurate short-term and long-term cash visibility.
- Set free cash flow and working capital targets in partnership with business unit leadership and monitor performance against those targets.
M&A Diligence & Integration
- Lead financial due diligence for M&A opportunities, including valuation models, synergy analysis, and evaluation of target company financials. Partner with CFO and Advisors on reporting, modeling, and analysis.
- Lead financial integration planning and execution for completed acquisitions, coordinating with Operations, IT, Accounting, and business unit finance teams.
- Lead post-acquisition synergy measurement and tracking, along with financial systems & costing integration for acquired businesses.
- Provide financial modeling and analysis support for acquisitions, divestitures, new product development, and other ad hoc strategic projects.
Team & Stakeholder Leadership
- Develop the FP&A team through effective recruiting, coaching, training, and performance management.
- Partner with the CEO, COO, CFO, Corporate Controller, Director of Operations Finance, and other functions to provide value-added analysis, improve processes and tools, and eliminate redundancies.
- Prepare Board and Senior Leadership materials.
QUALIFICATIONS & EXPERIENCE
- Bachelor's Degree in Business Administration, Accounting, or Finance required; MBA preferred.
- 10+ years experience in FP&A or Operational Finance leadership roles. 10+ years of people management experience.
- Strong accounting and systems skills, including Excel and PowerPoint. Experience in Adaptive Planning, Epicor, Power BI, and Domo are prioritized.
- Demonstrated experience leading annual budget, forecast, and long-range planning in a multi-business environment.
- Experience with M&A due diligence and post-acquisition integration.
- Executive presence and interpersonal communication skills, with well-honed influencing skills.
- Effective written, oral, and executive presentation skills. Excellent time management and project management skills.
- Superior analytical, problem-solving, and critical-thinking skills, with demonstrated intellectual and analytical rigor.
- Proven ability to partner across multiple business functions and influence decisions without direct authority.
- Ability to work autonomously in ambiguous situations with minimal oversight, managing multiple work streams.
Financial Data Analyst Jobs by Experience Level
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Find Financial Data Analyst JobsFinancial Data Analyst Job Market
Who's Hiring
- Riveron11

- JPMorganChase11

- Amazon9

- Capital One9

- Kaiser Permanente6

Top Industries Hiring
- Banking & Financial Services
- Healthcare & Medical Services
- Investment & Asset Management
- Manufacturing
- Staffing & Recruiting
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 Riveron, JPMorganChase, and Amazon, with the largest share of openings in New York, California, and Texas, based on current listings on Migrate Mate as of November 2026. Demand is consistently strong at banks, insurance carriers, and large healthcare systems.
How many financial data analyst jobs are remote?
About 71% of financial data analyst openings are fully remote or hybrid as of November 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 682+ Financial Data Analyst Jobs
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