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Financial Analytics Engineer Jobs (NOW HIRING)

Finance Analytics Engineer

San Mateo, CA ยท On-site

$130K - $156K/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 ...

Finance Analytics Engineer

San Francisco, CA ยท On-site

$200K - $240K/yr

Deliver dashboards and reporting in Hex for the executive team covering financial performance ... an analytics engineering or data engineering role, with meaningful time supporting Finance or ...

Finance Analytics Engineer

San Francisco, CA ยท On-site

$200K - $240K/yr

Deliver dashboards and reporting in Hex for the executive team covering financial performance ... an analytics engineering or data engineering role, with meaningful time supporting Finance or ...

Analytics Engineer

New York, NY ยท On-site

$100K - $140K/yr

Fueled by a belief in independence and financial empowerment, Duetti is building a more sustainable ... Role Overview We're looking for an Analytics Engineer to join as an early member of our Data Team ...

Analytics Engineer

New York, NY ยท On-site

$100K - $140K/yr

Fueled by a belief in independence and financial empowerment, Duetti is building a more sustainable ... Role Overview We're looking for an Analytics Engineer to join as an early member of our Data Team ...

Fueled by a belief in independence and financial empowerment, Duetti is building a more sustainable ... Role Overview We're looking for an Analytics Engineer to join as an early member of our Data Team ...

Fueled by a belief in independence and financial empowerment, Duetti is building a more sustainable ... We're looking for an Analytics Engineer to join as an early member of our Data Team and help build ...

This role sits at the center of that effort, enabling Supply Chain, Finance, and Commercial teams to make decisions using accurate, reliable, and scalable analytics. The Senior Analytics Engineer is ...

Analytics Engineer

Glenview, IL ยท On-site

$75K - $110K/yr

General information Name Analytics Engineer Ref # 2314 City Glenview State Illinois Country United States Function Finance & Accounting Description & Requirements ANALYTICS ENGINEER POSITION OVERVIEW ...

This role reports to the Director, Data & Analytics and works closely with partners in Engineering, Product, Finance and Growth. Key Responsibilities * Own and mature Fora's analytics transformation ...

Analytics Engineer - REMOTE Why you want to work at Flexion: Flexion is looking for an Analytics ... The work is grounded in the real financial and operational needs of a large agricultural business ...

Analytics Engineer - Decatur, IL This is a salaried, exempt-level role. Position Overview: The ... This position integrates operational, financial, and utilization data into scalable digital ...

Analytics Engineer - REMOTE Why you want to work at Flexion: Flexion is looking for an Analytics ... The work is grounded in the real financial and operational needs of a large agricultural business ...

Support analytics related to financial risk, trading, and operational reporting where applicable ... Engineering, BI, Data Engineering, Risk Analytics, or Software Development. * Strong SQL skills ...

We are seeking a Senior Analytics Engineer to play a key role in advancing Trove Brands' analytics ... Finance, Supply Chain, Sales, or Marketing. * Experience with predictive analytics is a plus.

Analytics Engineer

Waltham, MA ยท On-site

$118K - $177K/yr

... engineering, physics, finance, or related fields. * Strong communicator with a knack for extracting actionable insights, nurturing team relationships, and mentoring on analytics best practices.

Analytics Engineer - Decatur, ILThis is a salaried, exempt-level role.Position Overview:The ... This position integrates operational, financial, and utilization data into scalable digital ...

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Financial Analytics Engineer information

See salary details

$76K

$110.8K

$136K

How much do financial analytics engineer jobs pay per year?

As of Jun 7, 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

Roblox

San Mateo, CA โ€ข On-site

$130K - $156K/yr

Other

Posted 8 days ago


Job description

As an Analytics Data Engineer within the Finance team, you will be a key player in shaping our data ecosystem. You will design, build, and maintain scalable data pipelines that transform raw data into a reliable and trustworthy source of truth for the Finance organization and beyond.ย 

You will be the primary liaison between the Finance and the Data Engineering teams. You will use your domain knowledge of finance to understand their data requirements, translate them into technical specifications, and then build the necessary data infrastructure. Your work will directly impact financial planning, forecasting, and strategic decision-making across the company.

You Are:

  • A Data Expert: You have a deep understanding of data warehousing, ETL/ELT principles, and data modeling best practices. You can design and implement robust and scalable data pipelines.
  • A Problem-Solver: You are passionate about using data to solve complex business problems. You can break down ambiguous requirements into clear, actionable data engineering tasks.
  • Collaborative: You enjoy working with diverse teams and can effectively communicate complex technical concepts to both technical and non-technical stakeholders.
  • Detail-Oriented: You have a high bar for data quality and integrity. You take pride in building accurate and reliable data products and you are comfortable owning full quality from end to end.
  • Curious and AI-forward:ย  You are excited by the potential of LLMs, prompt engineering, and the rapidly changing world of AI tooling. You go beyond just using tools like Claude/Claude Code or Cursor-you've experimented with them and are keen to build and integrate entire systems around them.

You Will:

  • Design, develop, and maintain robust data pipelines using Python and Apache Airflow to process large volumes of data from various sources (e.g., internal databases, third-party APIs, and external systems).
  • Be the subject matter expert on our Redshift data warehouse, optimizing queries and tables, and ensuring data integrity.
  • Build and maintain data models that provide a single source of truth for key business metrics and KPIs.ย 
  • Co-develop and implement data quality checks and monitoring with finance business process owners to ensure the accuracy and reliability of our data.
  • Document data pipelines, data models, and business logic to ensure maintainability and transparency.ย 
  • Collaborate with Finance stakeholders to understand their data needs and translate them into scalable data solutions.
  • Partner with Finance and Data teams to create the AI Business Context layer for financial applications, converting accounting principles, metric definitions, and business logic into structured, AI-interpretable formats.
  • Build tools that provide natural language access to financial data, automated anomaly detection and AI-assisted reporting, enabling Finance stakeholders to independently discover insights.

You Have:

  • A Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
  • 4+ years of experience in a data-focused role, with a strong emphasis on data engineering, business intelligence, or a similar analytics function.
  • Proven experience in designing, building, and maintaining production-level data pipelines.
  • Demonstrable experience working directly with finance or business operations teams to deliver data solutions.
  • Expertise in SQL and experience with a modern data warehouse, preferably Redshift.
  • Strong programming skills in Python.
  • An interest in learning core financial modeling concepts to understand data use-casesย