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Engine Data Analyst Jobs (NOW HIRING)

Your Mission We are seeking a Staff Product Data Analyst to join the Engine X team. Engine X is Engine's corporate charge card - the first financial product Engine has launched and the first card ...

Your Mission We are seeking a Staff Product Data Analyst to join the Engine X team. Engine X is Engine's corporate charge card - the first financial product Engine has launched and the first card ...

As part of Engine's Data team, you will help shape how analytics supports a fast-growing travel technology company at scale. What You'll Do * Lead, coach, and develop a team of approximately 8 data ...

We are hiring an SEO Data Analyst, Streaming to join a top entertainment company in Los Angeles, CA. This freelance role will run until June 2027 and will be fully onsite in their LA office. * Pay ...

As part of Engine's Data organization, you will shape how analytics supports a fast-growing travel technology company at scale and ensure that data is a primary driver of how we grow, compete, and ...

Job Title: SEO Data Analyst, Streaming Location: Onsite at Burbank, CA or West Hollywood, CA or NYC Duration: 9 months + potential to extend Pay Range: $50-60/hr W2 About TSR TSR is a trusted ...

New

Job Title: SEO Data Analyst, Streaming Location: Onsite at Burbank, CA or West Hollywood, CA or NYC Duration: 9 months + potential to extend Pay Range: $50-60/hr W2 About TSR TSR is a trusted ...

New

As part of Engine's Data organization, you will shape how analytics supports a fast-growing travel technology company at scale and ensure that data is a primary driver of how we grow, compete, and ...

As part of Engine's Data team, you will help shape how analytics supports a fast-growing travel technology company at scale. What You'll Do * Lead, coach, and develop a team of approximately 8 data ...

Working directly from requests funneled through our US-based reporting leads, you will be the analytical engine of the team. Your primary goal is to query our databases, investigate data ...

Data Analyst

Raleigh, NC · On-site

$30 - $35/hr

Job Overview: * The Data Analyst will support a data transparency program by managing data ... recruitment engine operating across North America and Asia--ensuring speed, quality, and ...

Drive Aerospace Engine Operations (AEO) initiatives, including inventory strategy, rate readiness, and short supply mitigation * Apply data analytics, digital tools, and AI to assess current ...

... engine. What will you be doing at Beachbody as a Product Data Analyst: * Analyze data to determine requirements for a migration and updating of user data from one set of back-end systems to another ...

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Engine Data Analyst information

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$34K

$82.6K

$136K

How much do engine data analyst jobs pay per year?

As of Sep 10, 2026, the average yearly pay for engine data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is an engine data analyst?

Engine Data Analysts are professionals who specialize in collecting, processing, and interpreting data related to engine performance and operation. They work with large sets of sensor and diagnostic data from engines—such as those in aircraft, automobiles, or industrial machinery—to identify patterns, detect anomalies, and recommend maintenance or performance improvements. Their insights help organizations optimize engine efficiency, ensure safety, and reduce operational costs. Engine Data Analysts often collaborate with engineers, maintenance teams, and other stakeholders to translate data findings into actionable recommendations.

What are some common challenges engine data analysts face when interpreting large volumes of engine performance data?

Engine Data Analysts often encounter challenges such as filtering out irrelevant or noisy data, integrating information from multiple sensor types, and ensuring data accuracy. Interpreting subtle patterns that indicate early signs of engine issues requires both technical expertise and attention to detail. Collaboration with engineering and maintenance teams is crucial, as analysts must translate complex data into actionable insights that support operational decisions. Developing efficient data processing workflows and staying updated with new analytical tools also help address these challenges.

What are the key skills and qualifications needed to thrive as an engine data analyst, and why are they important?

To thrive as an Engine Data Analyst, you need strong analytical skills, a background in engineering or data science, and proficiency in interpreting engine performance data. Familiarity with data analysis tools such as MATLAB, Python, SQL, and specialized engine monitoring software is commonly required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are vital for ensuring engine reliability, optimizing performance, and supporting maintenance decisions in high-stakes technical environments.

What is the difference between Engine Data Analyst vs Mechanical Engineer?

AspectEngine Data AnalystMechanical Engineer
Required CredentialsBachelor's in Data Science, Engineering, or related field; knowledge of data analysis toolsBachelor's or Master's in Mechanical Engineering; professional engineering license often preferred
Work EnvironmentData analysis labs, offices, or remote settings; focus on data interpretationDesign labs, manufacturing plants, or field sites; focus on product development and testing
Employer & Industry UsageAutomotive, aerospace, or manufacturing companies analyzing engine performance dataEngine design, product development, and manufacturing in automotive or aerospace industries

While both roles involve working with engines, the Engine Data Analyst primarily focuses on analyzing engine performance data to optimize efficiency and troubleshoot issues. In contrast, the Mechanical Engineer designs, develops, and tests engine components. The roles often collaborate but differ in their core responsibilities and skill sets.

What are popular job titles related to Engine Data Analyst jobs?

For Engine Data Analyst jobs, the most frequently searched job titles are:

Staff Data Analyst, Engine X

Remote

Full-time

Re-posted 15 days ago


Job description

Your Mission

We are seeking a Staff Product Data Analyst to join the Engine X team. Engine X is Engine's corporate charge card - the first financial product Engine has launched and the first card built specifically on Engine's own supply relationships, pricing intelligence, and travel infrastructure.

Data is a core competency of Engine, and the Engine X team runs on it. In this role, you will be the analytical execution layer for a product that generates card transaction data, rewards activity, activation events, spend category breakdowns, and booking behavior at increasing volume. Your job is to make sure the team has accurate, well-structured, and timely analytical output, reliable dashboards, clean reporting frameworks, and clearly communicated findings, so that product managers, finance, and leadership can make decisions with confidence.

What You'll Do
  • Build, maintain, and improve Engine X's core performance dashboards; covering card activation rates, spend volume, gross booking value, rewards utilization, spend category breakdowns, and cardholder retention.
  • Track and report on key Engine X metrics on a regular cadence, ensuring stakeholders across product, finance, and leadership have accurate and timely visibility into card performance.
  • Investigate data anomalies and surface findings clearly; when a metric moves unexpectedly, you diagnose it, document what you found, and communicate it before it becomes a question someone else is asking.
  • Write and maintain complex SQL queries to extract, clean, and aggregate data from Snowflake across card transaction logs, booking activity, rewards ledger data, and cardholder activation events.
  • Build and document reusable data models and reporting assets that the team can rely on - well-structured, well-named, and built to last beyond the person who created them.
  • Support A/B tests and product experiments by setting up the analytical framework, pulling results accurately, and presenting findings in a format that informs a clear decision.
  • Partner with senior analysts and product managers to scope analytical requests, understand what's being asked, and deliver work that's precise, complete, and ready to act on.
  • Collaborate with analytics engineering and data engineering to flag data quality issues, validate pipeline outputs, and ensure the underlying data powering Engine X reporting is reliable.
  • Develop and maintain clear documentation for the metrics and models you own, definitions, logic, known limitations, and refresh cadences, so the team always knows what the numbers mean.
What We're Looking For
  • Bachelor's degree in Data, Economics, Statistics, Computer Science, Finance, or a related quantitative field.
  • 7+ years of relevant experience in data analytics or a closely related analytical function, with demonstrated ability to produce clean, accurate, and well-structured analytical work.
  • Solid SQL skills with experience writing complex queries - joins, aggregations, window functions - on large datasets; hands-on experience with Snowflake.
  • Experience building and maintaining dashboards or reporting frameworks using HEX, Looker, Tableau, or a comparable BI tool.
  • Attention to detail and a strong sense of ownership over the accuracy of your own work - you check your numbers, document your logic, and flag issues before they propagate.
  • Clear written and verbal communication skills; able to present findings in a structured, easy-to-interpret format for non-technical stakeholders.
  • Familiarity with A/B testing and experiment analysis - comfortable pulling results and applying basic statistical reasoning to interpret them correctly.
  • Curiosity about the product and business context behind the data - you want to understand what you're measuring and why it matters, not just how to pull it.
  • Experience in fintech, payments, card products, or financial services analytics is a plus.
  • Familiarity with dbt or experience working alongside analytics engineering teams to understand and leverage data models is a plus.
Why Join Us
  • Work on Engine's newest and fastest-growing product, at the intersection of travel, fintech, and spend management - with real GBV and revenue targets and a clear competitive position.
  • Develop your craft in a structured analytical environment with strong senior mentorship, clear expectations, and meaningful ownership over the metrics that drive the business.
  • Be part of a data-driven culture at a company on an exceptional growth trajectory, with the opportunity to grow as Engine X scales.