Remote Financial Data Analyst Jobs
Remote financial data analyst jobs are open across the U.S. at remote-first firms, distributed financial teams, and companies in fintech, insurance, and enterprise software that have made flexible work a permanent part of how they operate. Employers hiring remote financial data analysts right now include Credit Acceptance, NDWA, and CRESA. Find a role that fits below and apply directly.
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About Our Company
We’re a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. Our team of 22,000 people across 19 countries, serves more than 3.5 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses – Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world.
Job Description
Ameriprise Financial is looking to add a Manager Capital Markets Financial Analysis to the team! The individual in this role will influence business decision-making by ensuring accurate business drivers are considered in the financial or statistical analysis conducted within the Capital Markets Solution (CMS) team. Analyze and develop financial models of complex quantitative and qualitative data produced both internally and externally. Make recommendations for actions to address complex business issues.Key Responsibilities
- Problem solve for resolution to modeling issues. Direct technical and analytic employees to resolve issues related to models. Ensure accuracy and integrity of data.
- Oversee analysis of complex business issues by incorporating company and industry knowledge, mathematical expertise, and sound analytical processes. Assess risk/return trade-offs through the evaluation of existing and new investment alternatives.
- Present results of analysis and/or recommendations to business managers, utility partners, and, at times, external parties ensuring to drive vision and priorities for the organization. Communicate action plans and priorities to appropriate partners.
- Subject matter expertise in specific financial instruments or insurance contracts. Consult with business and CMS senior leadership to ensure all risks and analysis to these line items are considered.
- Support strength of control environment for CMS operations, including review of risk-based transactions. Ensure accuracy of models, data management and reporting.
Required Qualifications
- Bachelor's degree (or equivalent) in math, physics, economics or a quantitative field of study
- 5+ years of quantitative analytic experience
- Strong relationship and communication skills in working with colleagues, influencing customers on recommendations and analysis results.
- Proficiency in C++, Python
Preferred Qualifications
- Strong analytical, quantitative and problem-solving skills and ability to use statistical analysis and modeling, with associated tech applications.
- In-depth knowledge of business operations and processes with ability to articulate these processes to others.
- Strong risk management, project management, and organizational skills; ability to work in an environment of changing priorities.
- Master's or Ph.D.
In-Office Collaboration
We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders — clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.
Base Pay Salary
The estimated base salary for this role is $84,100 -147,700/year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances.Full-Time/Part-Time
Exempt/Non-Exempt
Job Family Group
Line of Business
Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, military status, veteran status, genetic information, citizenship, disability status, marital status, family status or any other basis prohibited by law.
We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.
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Who's Hiring


Top Industries Hiring
- Automotive
- Healthcare & Medical Services
What Employers Look For
The qualifications that appear most often in remote 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 Remote Financial Data Analyst Job Search
Apply early to remote roles that fit
Migrate Mate lists remote financial data analyst openings from across the U.S. in one place. Search by role, find listings that match your skills and target sector, and apply directly while postings are fresh, before application volume climbs.
Build an async-ready analysis portfolio
Remote employers can't watch you work, so show your process in writing. Document a financial modeling or reporting project end to end, share it as a link, and make sure your methodology and findings are readable without a walkthrough from you.
Signal fluency in distributed team tools
Remote financial data analyst teams run on SQL, Python, Tableau, Power BI, and collaborative platforms like Notion or Confluence for documentation. Name the specific tools you've used in your resume and be ready to demonstrate them in a remote technical screen.
Target remote-first and fintech employers directly
Remote financial data analyst roles concentrate at remote-first companies, fintech platforms, insurance carriers, and enterprise SaaS firms. Filter your search to these sectors early so you're not sorting through hybrid or on-site postings that don't match your goal.
Remote Financial Data Analyst Jobs: Frequently Asked Questions
How do I get a remote financial data analyst job?
Focus your search on remote-first companies and distributed teams in fintech, SaaS, insurance, and healthcare, where remote financial data analyst roles concentrate. Remote employers screen heavily for self-direction, clear written communication, and proficiency in SQL, Python, or BI tools like Tableau or Power BI. A portfolio of analysis work you can share asynchronously, such as a GitHub repo or a documented case study, gives you a real edge over candidates who can only describe past work verbally.
Which companies hire remote financial data analysts?
Remote financial data analyst roles are posted by Credit Acceptance, NDWA, and CRESA and others right now, based on current remote listings on Migrate Mate as of September 2026. Remote-first firms, distributed financial services teams, and technology companies with global operations tend to hire this role remotely most consistently.
Can you get a remote financial 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 without in-person onboarding or a manager nearby. To stand out, build a portfolio of financial analysis projects you can share as links, contribute to open datasets, or complete a relevant certification in SQL or financial modeling. Remote-first startups and fintech companies are more likely than large institutions to hire entry-level analysts remotely.
Do you need a degree for remote financial data analyst jobs?
Not always, though most remote employers prefer a degree in finance, economics, statistics, or a related field for this role. What carries more weight remotely is demonstrated ability: strong SQL skills, experience with financial modeling or reporting tools, and a portfolio that shows you can work through ambiguous data problems without hand-holding. Certifications and documented project work can substitute for a degree at remote-first companies and early-stage fintech teams.
Which industries hire the most remote financial data analysts?
Most remote financial data analyst openings sit in Automotive and Healthcare & Medical Services, per current remote listings on Migrate Mate as of September 2026. These sectors rely on distributed teams that need analysts who can deliver financial reporting, forecasting, and modeling outputs asynchronously across time zones.
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