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Financial Analytics Engineer Jobs (NOW HIRING)

ABOUT THE ROLE: We're hiring an Analytics Engineer to help design and build a PBM Financial Risk Engine that brings together claims, contract terms, pricing and utilization data to support financial ...

ABOUT THE ROLE: We're hiring an Analytics Engineer to help design and build a PBM Financial Risk Engine that brings together claims, contract terms, pricing and utilization data to support financial ...

Finance Analytics Engineer

San Mateo, CA · On-site

$185K - $221K/yr

As an Analytics Data Engineer within the Finance team, you will be a key player in shaping our data ... Your work will directly impact financial planning, forecasting, and strategic decision-making ...

One Park Financial (OPF) is a leading Financial Technology company dedicated to empowering small ... We are seeking an Analytics Engineer to design and build our DBT analytics infrastructure from the ...

One Park Financial (OPF) is a leading Financial Technology company dedicated to empowering small ... We are seeking an Analytics Engineer to design and build our DBT analytics infrastructure from the ...

One Park Financial (OPF) is a leading Financial Technology company dedicated to empowering small ... We are seeking an Analytics Engineer to design and build our DBT analytics infrastructure from the ...

Analytics Engineer

San Francisco, CA · On-site

$157K - $214K/yr

We believe that the way people interact with their finances will drastically improve in the next ... The Analytics Engineering team owns the full-stack analytics foundation for Plaid's GTM, CGX, NEA ...

You will partner closely with Finance, People and Company Operations stakeholders, Data Analysts, and Data Engineers to ensure data is accurate, consistent, and easy to consume; whether through ...

Analytics Engineer

$140K - $170K/yr

The Analytics Engineer sits at the heart of IEM's modern data stack, turning raw source data into ... Partner with cross-functional stakeholders and the Business Intelligence team (Finance, Production ...

The Analytics Engineer will transform raw data into business-ready datasets for various departments ... across Finance, Production, Supply Chain, and Engineering • Build conformed dimensions, fact ...

Analytics Engineer

OR · On-site +1

$140K - $170K/yr

The Analytics Engineer sits at the heart of IEM's modern data stack, turning raw source data into ... Partner with cross-functional stakeholders and the Business Intelligence team (Finance, Production ...

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Financial Analytics Engineer information

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$76K

$110.8K

$136K

How much do financial analytics engineer jobs pay per year?

As of Jun 6, 2026, the average yearly pay for financial analytics engineer in the United States is $110,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $124,500.00 per year, depending on experience, location, and employer.

How do Financial Analytics Engineers typically collaborate with finance and data teams during a project?

Financial Analytics Engineers regularly work alongside finance professionals to understand business requirements and ensure analytics solutions address real financial challenges. They also collaborate with data engineers and data scientists to source, clean, and analyze financial data, often participating in cross-functional meetings to align on project goals and share progress. Effective communication and the ability to translate technical findings into actionable business insights are key to success in this collaborative environment. This multidisciplinary teamwork not only enriches project outcomes but also offers valuable opportunities for professional growth and knowledge sharing.

What is a Financial Analytics Engineer?

A Financial Analytics Engineer is a professional who combines expertise in finance, data analysis, and engineering to develop systems that analyze financial data and generate actionable insights. They use programming, statistical methods, and machine learning to build financial models, automate data processing, and support decision-making for businesses. Their work often involves collaborating with finance teams, data scientists, and IT professionals to create tools that improve financial planning, risk management, and reporting.

What is the difference between Financial Analytics Engineer vs Data Analyst?

AspectFinancial Analytics EngineerData Analyst
Required CredentialsBachelor's in Finance, Data Science, or related fields; certifications like CFA or SQL proficiencyBachelor's in Statistics, Mathematics, or related fields; often SQL and Excel skills
Work EnvironmentFinance or banking firms, investment companies, fintechVarious industries including marketing, healthcare, retail, and finance
Employer & Industry UsageFinancial institutions, investment firms, fintech startupsBroad industry application, including finance, marketing, and consulting

Financial Analytics Engineers focus on developing financial models and analytics specific to finance sectors, often requiring finance-specific certifications. Data Analysts have a broader scope across industries, analyzing data to inform business decisions. Both roles require strong analytical skills, but their industry focus and tools may differ.

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

To excel as a Financial Analytics Engineer, you need strong quantitative analysis skills, proficiency in financial modeling, and a background in finance, mathematics, or computer science. Expertise with programming languages like Python or R, experience with data visualization tools (such as Tableau or Power BI), and familiarity with financial databases are typically required. Critical thinking, attention to detail, and effective communication help professionals translate complex data into actionable financial insights. These skills ensure accurate analysis, drive informed business decisions, and enable collaboration with both technical and non-technical stakeholders.
Infographic showing various Financial Analytics Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $110,812 per year, or $53.3 per hour.
Finance Analytics Engineer

Finance Analytics Engineer

Old Republic Surety Company

Brookfield, WI • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago


Job description

Finance Analytics Engineer
Location: Brookfield, WI (Hybrid Schedule)

Who We Are
Old Republic Surety Company is seeking a talented and driven Finance Analytics Engineer to join our Home Office team in Brookfield, Wisconsin. This hybrid opportunity offers the flexibility of a balanced work environment while giving you the chance to collaborate with a respected and stable industry leader.
 
Headquartered in Brookfield, Wisconsin, Old Republic Surety Company ranks among the nation’s top underwriters of contractors’ performance and payment bonds, miscellaneous surety, and commercial fidelity products. Through partnerships with more than 4,000 independent insurance agencies nationwide, we are recognized throughout the insurance industry for our integrity, financial strength, and long-standing reputation as a trusted surety provider.
 
If you are looking for a career where your expertise can directly influence business performance and decision-making, this Finance Analytics Engineer opportunity could be the perfect fit.

What You’ll Do
As a Finance Analytics Engineer, you will act as a trusted analytics partner supporting Finance, underwriting, and operational leaders with insights into profitability, exposure, loss performance, and operational efficiency. The Finance Analytics Engineer will support the Controller through financial analytics, management reporting, and performance monitoring while collaborating closely with Enterprise Data & Analytics teams.
 
The Finance Analytics Engineer will design, develop, and maintain analytics-ready data models and semantic layers within Microsoft Fabric that support key Surety business concepts, KPIs, metrics, and performance indicators. This Finance Analytics Engineer role will also translate business and financial requirements into scalable, well-governed analytics solutions aligned with accounting principles and enterprise data standards.
 
A successful Finance Analytics Engineer will help enable self-service analytics through Power BI and Microsoft Fabric while ensuring data accuracy, integrity, security, and auditability. The Finance Analytics Engineer will also establish documentation standards for metrics and assumptions and identify opportunities to modernize and improve analytics capabilities across the organization.

Experience & Qualifications
We are seeking a Finance Analytics Engineer with a Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field, along with at least four years of experience in analytics, business intelligence, or analytics engineering focused on business decision support. Equivalent related experience may be considered in lieu of a degree.
 
The ideal Finance Analytics Engineer will bring experience working within insurance, financial services, or other regulated industries. Familiarity with underwriting analytics, loss analytics, data governance practices, and federated data models is highly preferred. Experience with Microsoft Fabric, Power BI, and related certifications is a plus for the Finance Analytics Engineer role.

Compensation & Benefits
We offer a highly competitive compensation and benefits package designed to support your career growth and personal well-being, including:
  • Competitive salary
  • Medical, dental, and vision insurance
  • Life, disability, and supplemental insurance options
  • 401(k) with company match
  • Profit-sharing plan
  • Roth 401(k) options
  • 529 education savings plan
  • Employee referral bonus program

Interested?  Click ‘apply’ and follow some very simple steps to get your resume in front of the Talent Acquisition Team.    
Old Republic Surety Company is an Equal Opportunity Employer and is committed to maintaining a diverse workplace.    
 
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