Engine
Engine

36 Engine Data Analyst Jobs Hiring Near You

About Engine At Engine, we're transforming business travel into something personalized, rewarding ... Your Mission We are looking for a Data Analytics Manager to join our Data organization. This leader ...

About Engine At Engine, we're transforming business travel into something personalized, rewarding ... Your Mission We are looking for a Staff Growth Data Analyst to join our Data organization and ...

The Sr. Principal, Growth & AI Systems is the connective tissue between Engine's data ... Partner with the analytics team to define which events and audiences flow into our media platforms ...

Manager, Data Science

$169.83K - $235K/yr

About Engine At Engine, we're transforming business travel into something personalized, rewarding ... Lead the design and analysis of A/B tests and experimentation frameworks to measure the impact of ...

About Engine At Engine, we're transforming business travel into something personalized, rewarding ... Build and own dynamic models and dashboards to track performance and enable data-driven decision ...

Senior Marketing Operations Specialist

$79.80K - $98.80K/yr

About Engine At Engine, we're transforming business travel into something personalized, rewarding ... Demonstrated experience in marketing technology, data analytics, and digital marketing operations.

About Engine At Engine, we're transforming business travel into something personalized, rewarding ... Strong technical skills, including data analysis, fluency with APM tooling, and experience with API ...

About Engine At Engine, we're transforming business travel into something personalized, rewarding ... Performance Analysis : Own ongoing cohort behavior, identify drop-off points, and translate data ...

Senior Finance Manager

$111.60K - $152K/yr

... data-driven insights, and build scalable processes that support Engine's continued growth.In addition to driving financial reporting, various strategic analyses, and operational business partnerships ...

About Engine At Engine, we're transforming business travel into something personalized, rewarding ... analytical skillset: expert-level modeling and the ability to manage large-scale data ...

... outbound engine running at full capacity - owning the systems, the pipeline data, and the ... Territory & Capacity Analysis: Own coverage and capacity modeling for the pod. Surface gaps in ...

Senior Security Engineer

$117.20K - $160.70K/yr

About Engine At Engine, we're transforming business travel into something personalized, rewarding ... Security Analysis & Reviews: Perform architecture reviews, code reviews, and infrastructure ...

About Engine At Engine, we're transforming business travel into something personalized, rewarding ... Analytical Approach: Experience using data, experimentation, and A/B testing to validate hypotheses ...

Engine is a company focused on transforming business travel into a seamless and rewarding ... including data analysis, fluency with APM tooling, and experience with API technologies and ...

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Engine Jobs Information

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are the most popular categories at Engine?
Infographic showing various Data Analyst job openings at Engine in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 25% Physical, and 75% Remote job distribution.
Manager, Data Analytics

Full-time

Posted 21 days ago


Job description

About Engine
At Engine, we're transforming business travel into something personalized, rewarding, and simple. For too long, managing travel and spend has been overwhelming and fragmented - we're here to change that. We believe the future of travel should be seamless and powered by technology that delights customers at every step. That's why we're building a platform that brings together corporate travel, a powerful charge card, and modern spend management in one place.
To make this vision real, we're looking for exceptional, mission-driven people to help redefine how businesses manage and experience travel.
More than 20,000 companies already rely on Engine to support over 1 million travelers and billions in annual bookings each year. Cash flow positive with rapid growth, we pair exclusive Engine-only rates, industry-leading rewards, and intelligent automation to help businesses save money while delivering world-class personalization and convenience.
Backed by Telescope Partners, Blackstone, and Permira, Engine has been recognized as one of the fastest-growing travel and fintech platforms in North America, with honors including the Deloitte Fast 500 and Built In's Best Places to Work.
Your Mission
We are looking for a Data Analytics Manager to join our Data organization. This leader will oversee analytics for our Pricing & Supply teams, a highly strategic part of the business responsible for helping Engine deliver competitive pricing, strong marketplace coverage, better supplier performance, and an exceptional customer experience.
This is a high-impact leadership role for someone who enjoys operating close to the business, developing strong analysts, and turning complex marketplace and commercial questions into clear insights, scalable analytics, and better decisions. You do not need to come from a pricing or supply background, but you should be excited by the opportunity to work on problems that sit at the center of growth, margin, inventory, conversion, and customer value.
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 analysts supporting Pricing & Supply initiatives.
  • Partner closely with leaders across Pricing, Supply, Product and Data to define analytical priorities and drive measurable business impact.
  • Build a strong analytics operating model, including prioritization, stakeholder management, quality standards, reusable reporting, and scalable insight generation.
  • Translate ambiguous business questions into clear analytical plans, decision frameworks, dashboards, experiments, and recommendations.
  • Help the business better understand pricing performance, supplier coverage, marketplace dynamics, conversion, margin, customer behavior, and operational levers.
  • Raise the bar for analytical rigor across the team, including metric definition, data storytelling, root-cause analysis, experimentation, and forecasting.
  • Develop analysts into stronger business partners who can influence decisions, communicate clearly, and operate with ownership.
  • Identify opportunities to improve the data foundation, partnering with data engineering and analytics engineering teams to improve tooling, data models, and self-service capabilities.
What You'll Bring to Engine
Required
  • 7+ years of experience in data analytics, business analytics, data science, or a related analytical function.
  • 3+ years of experience managing, mentoring, and developing analysts or analytics teams.
  • Strong SQL skills and comfort working with large, complex datasets.
  • Experience using data to influence business decisions in a high-growth, product-led, marketplace, e-commerce, SaaS, travel, fintech, logistics, or similarly complex operating environment.
  • Strong business judgment, with the ability to connect analytics work to revenue, margin, customer experience, operational efficiency, or strategic priorities.
  • Experience building scalable analytics processes, dashboards, reporting standards, and prioritization systems.
  • Clear communication skills with the ability to influence both technical and non-technical stakeholders.
  • A strong track record of hiring, developing, and retaining high-performing analytical talent.
Preferred
  • Experience supporting pricing, supply, marketplace, revenue management, inventory, procurement, or commercial strategy teams.
  • Experience with modern data tools such as dbt, Snowflake, Databricks, Airflow, Looker, Tableau, Power BI, or similar platforms.
  • Exposure to experimentation, A/B testing, forecasting, segmentation, causal analysis, or advanced analytics methods.
  • Experience building analytics functions, centers of excellence, or team operating models in a scaling company.
  • Experience in travel, hospitality, marketplace, B2B SaaS, or high-transaction-volume businesses.

We accept applications for this role on an ongoing basis. We review applications as they are received and encourage interested candidates to apply early.
Compensation
Our compensation packages are based on several factors, including your experience, expertise, and location. In addition to a competitive base salary, total compensation may include equity and/or variable pay (OTE). Your recruiter will share your complete compensation package as you move through the process.
Base Pay Range
$144,500-$200,000 USD
The Engine Edge: Perks & CompensationWe believe in rewarding great work with great benefits:
  • Compensation: Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity.
  • Benefits: Check out our full list at engine.com/culture.
  • Environments for Success: Different roles have different needs in terms of the environments that drive success which is why we have a hybrid-hub model. Whether you are in one of our amazing offices or fully remote, we'll make sure you have what you need to succeed.

Perks and benefits may vary based on employment type, location, and more.
Ready to Build the Future of Work Travel?Join us on our mission to transform how work travel works-for businesses, for travelers, and for the industry. Apply now and let's make travel simpler, smarter, and more enjoyable-together.