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Remote Financial Data Analyst Jobs (NOW HIRING)

NuView Analytics

Data Analyst (Remote)

Denver, CO · Remote

$80K - $100K/yr

Salary: $80k100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

LEO&Co

Part Time Data Analyst (Remote)

New York, NY · Remote

In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes better ... Knowledge of Financial terms and principles * Solid analytical and problem solving skills * Great ...

Huzzle

Financial Analyst

... fast-paced remote work environment. The ideal candidate is highly organised, proficient with ... Analyze financial data and prepare monthly, quarterly, and annual reports. * Develop financial ...

Amerilife Group, LLC

Finance Data Platform Specialist

OR · On-site +1

$115K - $130K/yr

The ideal candidate possesses strong analytical skills, experience with enterprise financial systems, and the ability to get technical with data analysis, strong in SQL and problem solving. Key ...

Bayswater Consulting Group

Financial Analyst

Atlanta, GA · Remote

$70K - $95K/yr

... remote environment Nice to Have * Experience with ERP systems such as SAP, Oracle, NetSuite, or Microsoft Dynamics * Familiarity with SQL or Python for financial data analysis * Background in FP&A, ...

Amerilife Group, LLC

Finance Data Platform Specialist

$115K - $130K/yr

The ideal candidate possesses strong analytical skills, experience with enterprise financial systems, and the ability to get technical with data analysis, strong in SQL and problem solving. Key ...

Parafin

Finance Data Lead

San Francisco, CA · Remote

$210K - $250K/yr

You'll be the go-to person for turning raw financial data into clean, trusted, and actionable outputs -- owning everything from ad hoc analyses to scalable reporting infrastructure. What You'll Be ...

Alignerr

Financial Analyst AI Researcher - Remote

$50 - $100/hr

Remote * Commitment : Flexible, task-based What You'll Do * Analyze company-level financial ... Cross-reference narrative disclosures with underlying quantitative data * Summarize financial ...

NuView Analytics

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

US Federal Solutions

Data Analyst

Washington, DC · Remote

USFS was founded in 2010 and provides financial management, acquisition management, program management, and data analytic support services to federal and state governments. What You Will Do : As a ...

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Remote Financial Data Analyst information

See salary details

$35K

$85.5K

$142K

How much do remote financial data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote financial data analyst in the United States is $85,459.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $100,500.00 per year, depending on experience, location, and employer.

What is a remote financial data analyst?

A Remote Financial Data Analyst is a professional who works from a location outside of a traditional office, analyzing and interpreting financial data to help organizations make informed decisions. They use various tools and software to collect, process, and present data related to budgets, investments, and financial trends. Their insights support business planning, risk management, and strategic growth. Remote Financial Data Analysts often collaborate with teams through virtual meetings and digital platforms, allowing them to work flexibly from anywhere with an internet connection.

How does a remote financial data analyst typically collaborate with team members and stakeholders across different locations?

As a Remote Financial Data Analyst, collaboration is often facilitated through digital communication tools such as video conferencing, instant messaging, and shared dashboards. You’ll regularly participate in virtual meetings to discuss data findings with finance teams, business leaders, and other analysts. Clear documentation and frequent updates are key, as is the ability to translate complex financial data into actionable insights for non-technical stakeholders. Building strong remote relationships and proactively communicating progress help ensure projects stay aligned and deadlines are met, even when working from different time zones.

What are the key skills and qualifications needed to thrive as a remote financial data analyst, and why are they important?

To thrive as a Remote Financial Data Analyst, you need strong analytical abilities, proficiency in finance and statistics, and a relevant degree such as finance, economics, or mathematics. Expertise in tools like Excel, SQL, Python, and familiarity with business intelligence platforms such as Tableau or Power BI, plus relevant certifications (e.g., CFA or FMVA), are typically required. Excellent communication, self-motivation, and time management are vital soft skills for collaborating virtually and delivering insights independently. These skills ensure accurate data analysis, effective remote teamwork, and actionable financial recommendations for business success.

What is the difference between Remote Financial Data Analyst vs Remote Financial Analyst?

AspectRemote Financial Data AnalystRemote Financial Analyst
Required CredentialsBachelor's in Finance, Economics, or related; proficiency in data analysis toolsBachelor's in Finance, Economics, or related; strong analytical skills
Work EnvironmentPrimarily data analysis, reporting, and modelingFinancial planning, reporting, and advising
Employer & Industry UsageFinancial services, investment firms, corporationsBanking, investment firms, corporate finance
Common Search & ComparisonFocuses on data analysis and modelingFocuses on financial advising and strategy

The main difference is that a Remote Financial Data Analyst specializes in analyzing financial data, creating models, and generating reports, while a Remote Financial Analyst focuses more on financial planning, advising, and strategy. Both roles require similar educational backgrounds but differ in daily tasks and focus areas.

More about Remote Financial Data Analyst jobs

What cities are hiring for Remote Financial Data Analyst jobs?

Cities with the most Remote Financial Data Analyst job openings:

What are the most commonly searched types of Financial Data Analyst jobs?

The most popular types of Financial Data Analyst jobs are:

What states have the most Remote Financial Data Analyst jobs?

States with the most job openings for Remote Financial Data Analyst jobs include:

What job categories do people searching Remote Financial Data Analyst jobs look for?

The top searched job categories for Remote Financial Data Analyst jobs are:

Remote Financial Data Analyst jobs near you
Infographic showing various Remote Financial Data Analyst job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 5% Part Time, 5% Temporary, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $85,459 per year, or $41.1 per hour.

Remote Data Analyst

Jobsultant Solutions

Dallas, TX • Remote

Contractor

Re-posted 8 days ago

Job description

The Nations 2nd largest Technical Staffing and Services Firm, has an opening for a Remote Analyst at a global leader in retail pharmacy for a 6-month contract with the opportunity for extension or conversion.

Summary:

The Walgreens Merchandise Planning Analytics team manages reporting, analysis, and tool building for the Walgreens Merchandising team. They support a team of 100+ merchants and 40+ planners to optimize performance of the Walgreens Front End (non-Pharmacy) businesses.

Work Environment:

  • 100% remote - must work in CST
  • 8am-5pm (9 hour day with one hour lunch break 12pm-1pm).
    • The hours can be flexible per above but minimally need 30 hours a week in order to fulfill the business needs

Responsibilities:

  • Own Brand (private label) reporting, recapping, tracking, and analysis, including ad-hoc analysis based on business needs
  • Item level historical analysis and recapping
  • Item level future looking forecast
  • Scope will be thousands of Own Brand items (at item level)
  • System/ tool used is Excel
  • Project will involve complex excel formulas and ability to synthesize large data sets into meaningful executive recaps

Top Must-Have Skills:

  • Bachelors Degree and at least 3-5 year of experience in one or more of the following: analytics, data science, finance, financial analysis, assortment planning, retail, procurement/purchasing, merchandising
  • Minimum 3 years experience in data analytics or other related field with strong understanding of retail merchandising basics (i.e. category management) and merchandising organization structures and processes
  • Outstanding analytical and problem-solving skills partnered with storytelling finesse
  • Ability to conduct complex quantitative analysis and build analytical models using Microsoft Excel
  • Ability to communicate effectively and succinctly both verbally and in writing via Microsoft PowerPoint
  • Ability to manage and prioritize multiple assignments and meet tight deadlines
  • Ability to develop effective working relationships with Merchandising, Planning, Finance and other stakeholders
  • Ability to work independently and adapt to changing work priorities
  • Retail math background; skills such as item level forecasting based on demand patterns or sell through/ sales/ profit goals, knowledge of sales by type and AUR impacts, all inventory and sales metrics
  • Intermediate/Advanced level skill in Microsoft Excel (for example: using SUM/SUMIFS, Subtotals, VLOOKUP, HLOOKUP, Macros, Pivot tables) - CRITICAL SKILL NEEDED FOR ROLE, most work will be done in excel
  • Intermediate level skill in Microsoft Word and PowerPoint

Top Nice-to-Have Skills:

  • MBA preferred; Science, Technology, Engineering, Mathematics and/or other quantitative analytical degree a plus
  • Data science experience
  • Retail experience
  • SQL Coding, Microsoft Access, Macro building

Education / Experience Requirements:

  • 3-5 year experience in Analytics or Data Science, Merchandising background

Apply