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Financial Data Analyst Jobs (NOW HIRING)

kubota

Data Analyst II

Grapevine, TX

High School Diploma or GED required. * BS in Accounting, Finance, Business Analytics , or related ... Data analysis experience, using SAP, and Salesforce * Expert level Microsoft Office ability ...

Public Storage

Senior Financial Data Analyst

Frisco, TX

$80K - $99K/yr

We are seeking a Senior Financial Data Analyst, Customer Care Finance to support the Director and Sr. Manager of Customer Care & Ancillary Business Finance. This role will serve as a key finance ...

Veolia

Senior Financial Data Analyst

Teaneck, NJ

The Senior Financial Data Analyst partners with the Director of Finance, Senior Leaders, and Finance Team to assist with automating processes and reporting, Collaborates closely with Operation ...

Xcel Energy

Sr Financial Data Analyst

Minneapolis, MN

$73K - $104K/yr

Analyze financial data to identify adverse trends and recommend solutions to mitigate financial impact. Effectively communicate results through concise oral and written communications. * Provide ...

New

Public Storage

Senior Financial Data Analyst

Frisco, TX · On-site

$80K - $99K/yr

We are seeking a Senior Financial Data Analyst, Customer Care Finance to support the Director and Sr. Manager of Customer Care & Ancillary Business Finance. This role will serve as a key finance ...

Apex Systems

Portfolio Financial/ Data Analyst

Orlando, FL · Hybrid

$75 - $80/hr

Sr Financial Portfolio Analyst Apex Systems is seeking a Sr Financial Portfolio Analyst to join our Fortune 50 client based out of Orlando, FL. This is a hybrid opportunity requiring just one day per ...

Public Storage

Senior Financial Data Analyst

Frisco, TX

$80K - $99K/yr

We are seeking a Senior Financial Data Analyst, Customer Care Finance to support the Director and Sr. Manager of Customer Care & Ancillary Business Finance. This role will serve as a key finance ...

Public Storage

Senior Financial Data Analyst

Frisco, TX · On-site

$80K - $99K/yr

We are seeking a Senior Financial Data Analyst, Customer Care Finance to support the Director and Sr. Manager of Customer Care & Ancillary Business Finance. This role will serve as a key finance ...

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How much do financial data analyst jobs pay per year?

As of Jun 6, 2026, the average yearly pay for 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 are Financial Data Analysts?

Financial Data Analysts are professionals who collect, process, and analyze financial data to help organizations make informed business decisions. They use statistical tools and financial modeling techniques to interpret data, identify trends, and forecast future financial performance. Their work supports budgeting, investment strategies, risk assessment, and overall financial planning. Financial Data Analysts often collaborate with other departments to provide insights that drive business growth and efficiency.

What Does a Financial Data Analyst Do?

Financial data analysts examine financial records and prepare comprehensive reports for their company. These reports are used to identify the current direction of production and help managers forecast future trends. As a financial data analyst, your job duties include compiling data from the market and various departments within the company, analyze the information, and create reports for upper management. The qualifications to pursue a career as a financial data analyst include a bachelor’s degree in finance, economics, accounting, or a related field and industry experience.

What are the key skills and qualifications needed to thrive as a Financial Data Analyst, and why are they important?

To thrive as a Financial Data Analyst, you need strong analytical skills, a solid understanding of finance and accounting principles, and a bachelor's degree in finance, economics, or a related field. Proficiency in data analysis tools such as Excel, SQL, Python, and financial modeling software, as well as certifications like CFA or FRM, are often expected. Attention to detail, problem-solving abilities, and clear communication skills set exceptional analysts apart in interpreting and presenting complex data. These skills are vital for delivering accurate financial insights that inform business decisions and drive organizational success.

What are some common challenges Financial Data Analysts face when communicating their findings to non-technical stakeholders?

Financial Data Analysts often encounter the challenge of translating complex quantitative data and statistical analyses into clear, actionable insights for non-technical stakeholders. This requires not only a deep understanding of financial concepts but also strong communication skills to present data visually and narratively. Bridging this gap can involve tailoring presentations, using data visualization tools, and focusing on the business implications of the analysis rather than technical details. Effective collaboration with cross-functional teams, such as finance, operations, and management, is key to ensuring that data-driven recommendations are understood and implemented.
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Financial Data Analyst jobs near you
Infographic showing various Financial Data Analyst job openings in the United States as of May 2026, with employment types broken down into 4% As Needed, 37% Full Time, 45% Part Time, 2% Temporary, 11% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $85,459 per year, or $41.1 per hour.
Treasury Financial Data Analyst

Treasury Financial Data Analyst

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Per diem

Posted 14 days ago

Job description

Overview
Susquehanna's Treasury team is seeking a technically strong Financial Data Analyst to focus on counterparty analytics and reporting to help drive strategic decisions.
This is a highly analytical, project-oriented role requiring the design and development of data-driven tools and reporting frameworks using Python, SQL, and HTML. The position combines counterparty risk analysis, financial normalization, relationship economics, and treasury strategy within a fast-paced proprietary trading environment.
Key Responsibilities
  • Compile, reconcile, and analyze firm-wide balances, exposures, financing activity, trading flow, and fee structures across counterparties.
  • Quantify full counterparty economics, including financing spreads, fee payments, trading rebates, and capital usage.
  • Prepare financial materials for credit due diligence calls, broker relationship meetings, and commercial negotiations.
  • Partner with Operations and Financing teams to evaluate cost attribution and relationship profitability.
  • Develop standardized frameworks to improve comparability across balance sheets, funding profiles, and capital structures.
  • Produce executive-level summary materials and visual dashboards to support strategic relationship decisions.
  • Partner with international offices to maintain a comprehensive global view of institutional developments

What we're looking for
  • 3-5 years of experience in financial services, preferably within treasury, counterparty risk, prime brokerage, trading operations, or capital markets.
  • Strong technical proficiency in Python, SQL, and HTML.
  • Experience building automated reporting tools or analytical dashboards.
  • Strong understanding of financial statements and capital markets concepts.
  • Exceptional analytical skills and attention to detail.
  • Ability to independently manage long-term, project-based workstreams.
  • Strong communication skills with experience presenting to senior stakeholders.
  • Bachelor's degree in Finance, Accounting, Economics, or any related discipline.
  • Visa sponsorship for work authorization is not available for this position now or in the future.

About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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