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Financial Analytics Engineer Jobs (NOW HIRING)

Robinhood

Senior Analytics Engineer

Menlo Park, CA · On-site

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be ... Robinhood's Analytics Engineering team, part of the Data Science organization, is the backbone of ...

Lantern

Analytics Engineer

Dallas, TX · Hybrid

Manager, Analytics Engineering JOB OVERVIEW The Analytics Engineer is a hands-on individual ... Partner with Business Analysts, Finance, Operations, and Strategy teams to translate recurring ...

Lantern

Analytics Engineer

Dallas, TX · On-site +1

Manager, Analytics Engineering JOB OVERVIEW The Analytics Engineer is a hands-on individual ... Partner with Business Analysts, Finance, Operations, and Strategy teams to translate recurring ...

Checkr

Senior Analytics Engineer, Finance

Denver, CO · On-site

$112K - $152K/yr

You'll work hand-in-hand with FP&A, Accounting, and Finance leadership, while helping shape one of ... Partner with Data Engineering peers to evolve Checkr's modern data platform, championing best ...

Crexi

Analytics Engineer

Vista, CA · On-site

$123K - $160K/yr

You will work closely with Product, Sales, Finance, and Marketing to define what we measure, how we ... in analytics engineering, data engineering, or a data analyst role that included dbt and data ...

Stem Xpert

Analytics Engineer

Philadelphia, PA

The company is primarily focused on information technology, engineering, healthcare, financial ... Analytics Engineer Location : Philadelphia, PA Duration : long Job Summary A highly experienced ...

Amplify

Analytics Engineer

Brooklyn, NY · On-site

Our analytics engineering team ingests, transforms, models, and aggregates the data that empowers ... Align with finance on making sure we have well audited data inline with established financial best ...

Amplify

Analytics Engineer

Brooklyn, NY

Our analytics engineering team ingests, transforms, models, and aggregates the data that empowers ... Align with finance on making sure we have well audited data inline with established financial best ...

DoorDash

Analytics Engineer

San Francisco, CA · On-site

... Finance, and more. About the Role As an Analytics Engineer, you'll play a key role in building and ... scaling the data foundations that enable fast, reliable, and actionable insights. You'll work ...

Ramsey Solutions

Analytics Engineer

Nashville, TN

$77K - $113K/yr

Three decades later, Ramsey Solutions is a household name in personal finance, with a mission to ... The Analytics Engineer produces consumable data products, including analytical data models and ...

Bupa Corporate

Analytics Engineer 53,500 - 70,000 (depending on experience) + benefits, including up to 10% bonus ... financial, social and environmental wellbeing. We support flexible working and have a range of ...

New

Limetree

Senior Analytics Engineer

Plano, TX · Remote

$117K - $140K/yr

Senior Analytics Engineer Location: Remote (Dallas, TX area preferred, not required) About Limetree ... financial services, and other regulated or complex environments. Our work connects insight to ...

AmaWaterways

Data Analytics Engineer

Calabasas, CA · On-site

$120K - $145K/yr

Role Summary AmaWaterways is seeking a Data Analytics Engineer to design, build, and scale the analytics layer that enables leaders across Marketing, Finance, Operations, Revenue Management, and ...

Connie Health Inc

Senior Analytics Engineer

Boston, MA · On-site

Partner with Engineering, Finance, and Operations to improve data quality at the source rather than cleaning it downstream. Catch issues before stakeholders find them in a broken chart. * Build and ...

New

Limetree

Senior Analytics Engineer

Plano, TX · On-site +1

$117K - $140K/yr

Senior Analytics Engineer Location: Remote (Dallas, TX area preferred, not required) About Limetree ... financial services, and other regulated or complex environments. Our work connects insight to ...

Bupa Corporate

Analytics Engineer 53,500 - 70,000 (depending on experience) + benefits, including up to 10% bonus ... financial, social and environmental wellbeing. We support flexible working and have a range of ...

New

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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 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.
Senior Analytics Engineer

Senior Analytics Engineer

Robinhood

Menlo Park, CA • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 11 days ago

Job description

Join us in building the future of finance.
Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you're ready to be at the epicenter of this historic cultural and financial shift, keep reading.
About the team + role
We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.
Robinhood's Analytics Engineering team, part of the Data Science organization, is the backbone of our decision-making ecosystem. We design and deliver foundational data products that power everything from product innovation to regulatory compliance and operational excellence. Our mission is simple but ambitious: enable every team at Robinhood to access trustworthy, scalable, and self-serve analytics-so the right decisions happen faster.
We operate at the intersection of data engineering, data science, and product strategy, collaborating closely with product managers, engineers, and data scientists to transform raw data into clear, actionable intelligence.
As a Senior Analytics Engineer, you will be a key architect of Robinhood's data foundation. You'll be responsible for the design and development of high-performance ETL pipelines, data models, and analytics tools that fuel critical decisions across the company. Your work will directly influence product strategy, regulatory reporting, and operational efficiency, ensuring Robinhood remains agile and data-driven at scale.
This is more than a build role-you'll help define metrics, shape datasets, and set the standards for analytics excellence across the company. The systems and frameworks you create will have a long-lasting impact on Robinhood's growth trajectory.
This role is based in our Menlo Park, CA office, with in-person attendance expected at least [3] days per week.
At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.
What you'll do
  • Partner cross-functionally with product, engineering, and data science teams to scope and deliver high-impact analytics initiatives, from metric definitions to fully automated reporting solutions.
  • Design and maintain reliable, scalable ETL pipelines and data models using modern data tools (e.g., Airflow, Spark), ensuring performance and accuracy at scale.
  • Lead end-to-end development of analytics products-from ingestion to visualization-that meet critically important business, product, and regulatory needs.
    Build internal frameworks and tooling to make high-quality data more accessible and actionable across the organization.
  • Collaborate with data scientists to transform raw data into meaningful insights that directly shape business and product outcomes.
    Champion analytics best practices and drive a culture of data literacy, empowering teams to expertly explore and interpret data on their own.
What you bring
  • 5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or similar field.
  • Strong expertise in advanced SQL, Python scripting, and Apache Spark (PySpark, Spark SQL) for data processing and transformation.
  • Proficiency in building, maintaining, and optimizing ETL pipelines, using modern tools like Airflow or similar.
  • Experience in building polished and performant dashboards using tools like Superset, Looker, Tableau.
  • Strong familiarity with version control (GitHub), CI/CD, and modern development workflows.
  • A strong product mentality.
  • Ability to work in a fast-paced, and highly multi-functional environment.
What we offer
  • Challenging, high-impact work to grow your career
  • Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
  • Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
  • Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
  • Employer-paid life & disability insurance, fertility benefits, and mental health benefits
  • Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
  • Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.
Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.
Base Pay Range:
Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)
$179,000-$210,000 USD
Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)
$157,000-$185,000 USD
Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)
$139,000-$164,000 USD
Click here to learn more about our Total Rewards, which vary by region and entity.
If our mission energizes you and you're ready to build the future of finance, we look forward to seeing your application.
Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work-welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

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