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Analytic Engineer Jobs (NOW HIRING)

Analytics Engineer

New York, NY · On-site

$140K - $190K/yr

We're looking for an Analytics Engineer to help build, scale, and maintain the data foundation that powers decision-making across the company. You'll work closely with stakeholders across product ...

The Structural Analysis Engineer is responsible for analyzing, designing, and validating the structural integrity of aerospace components, systems, and structures. Essential Job Functions: * Apply ...

Join our team as a Principal Analytics Engineer! This is a fixed hybrid role on-site Tuesday, Wednesday, Thursday at HQ in Maple Plain, MN We are looking for a Principal Analytics Engineer to join ...

The Structural Analysis Engineer is responsible for analyzing, designing, and validating the structural integrity of aerospace components, systems, and structures. Essential Job Functions: * Apply ...

Analytics Engineer I

New York, NY · On-site

$106K - $140K/yr

We're hiring an Analytics Engineer I to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We ...

Analytics Engineer I

New York, NY · Hybrid

$106K - $140K/yr

We're hiring an Analytics Engineer I to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We ...

DECAL Analytics Engineer Location: Atlanta, GA 3+ years of experience in data engineering or analytics engineering roles. Required 3 Years Advanced SQL: Proficiency in advanced SQL techniques for ...

Analytics Engineering sits at the center of all three. Alloy operates in a hybrid-work environment. We look to foster collaboration and community by having our local employees onsite three days a ...

Analytics Engineering sits at the center of all three. Alloy operates in a hybrid-work environment. We look to foster collaboration and community by having our local employees onsite three days a ...

Showing results 41-60

Analytic Engineer information

See salary details

$39K

$101.8K

$137.5K

How much do analytic engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for analytic engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is the difference between Analytic Engineer vs Data Engineer?

AspectAnalytic EngineerData Engineer
CredentialsTypically requires a degree in data science, statistics, or related fields; often certifications in SQL, Python, or cloud platformsRequires a degree in computer science, software engineering, or related fields; certifications in cloud services, SQL, and data pipeline tools
Work EnvironmentFocuses on analyzing data, building data models, and creating dashboards; collaborates with data scientists and business teamsBuilds and maintains data pipelines, databases, and infrastructure; works closely with data engineers and software developers
Industry UsageCommonly found in analytics teams, business intelligence, and data-driven decision-making rolesPrimarily in data infrastructure, big data projects, and data platform development

In summary, Analytic Engineers focus on transforming data into insights through analysis and modeling, while Data Engineers build the infrastructure to support data collection and storage. Both roles are essential in data teams but serve different functions within the data ecosystem.

Are analytic engineers in demand?

Analytic engineers are in high demand due to the increasing reliance on data-driven decision making across industries. They typically require skills in data modeling, SQL, and tools like Python or Spark, and often find opportunities in technology, finance, and healthcare sectors.

What does an analytic engineer do?

An analytic engineer designs, develops, and maintains data pipelines and systems to collect, process, and analyze large datasets. They often work with tools like SQL, Python, and cloud platforms to ensure data quality and accessibility for business insights and decision-making.
More about Analytic Engineer jobs
What cities are hiring for Analytic Engineer jobs? Cities with the most Analytic Engineer job openings:
What states have the most Analytic Engineer jobs? States with the most job openings for Analytic Engineer jobs include:
Infographic showing various Analytic Engineer job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

Analytics Engineer

US Mobile

New York, NY • On-site

$140K - $190K/yr

Full-time

Re-posted 17 days ago


Job description

US Mobile is building the future of wireless communication. The goal: one unified network open to any person and any device, worldwide. Connection without walls.
We’re getting there by empowering customers. All three major networks on one phone and one plan, plus home internet from Starlink. No lock-in. No commitments. Custom fit plans at every price point. 24/7 customer support with real people, empowered to help. We get real-time feedback from Reddit, surveys, and customer support informing product roadmaps and everything we do. It’s working — Consumer Reports named us the top-rated mobile carrier two years in a row.*

And we’re building innovative systems that scale. A network agnostic tech stack. Agile, cross-functional teams built on trust and mutual respect. This work isn’t for everyone. If you work fast, flexibly, and collaboratively — without compromising standards — we want to hear from you.


We're looking for an Analytics Engineer to help build, scale, and maintain the data foundation that powers decision-making across the company. You'll work closely with stakeholders across product, analytics, engineering, and operations to understand business needs, design reliable data models, and deliver high-quality reporting and analytics infrastructure.
Responsibilities:
  • Partner with stakeholders to understand data needs and translate business questions into technical requirements for data models, pipelines, dashboards, and self-service tools.
  • Design, build, document, and maintain reliable data pipelines using dbt, Dagster, Redshift, and related tools.
  • Transform raw data into trusted, canonical datasets for reporting, analysis, experimentation, and decision-making.
  • Build high-performance dashboards and analytical tools in Hex, Tableau, or similar platforms.
  • Use AI tooling to accelerate pipeline development, SQL/dbt work, and documentation.
  • Partner with data scientists, analysts, and engineers to bridge business needs and data infrastructure.
Requirements:
  • 5+ years of experience in analytics engineering, data engineering, or business intelligence, ideally in a fast-paced, high-growth environment.
  • Strong SQL skills, including experience with large datasets, complex transformations, and performance optimization.
  • Hands-on experience designing and maintaining reliable data pipelines using modern tools such as dbt, Dagster, Redshift, or equivalent.
  • Proficiency in a scripting language; Python preferred.
  • Demonstrated use of AI in your day-to-day workflow — LLM-assisted coding or prompt-driven data exploration.
  • Experience building dashboards and analytical tools in Hex, Tableau, or comparable BI/reporting platforms.
  • Strong understanding of data modeling, metric design, and analytics engineering best practices.
  • Strong communication skills, with a bias toward clear documentation, reliable systems, and measurable business impact.
Benefits & Perks:
  • Health care coverage through Aetna (Medical, Dental, Vision)
  • Flexible paid time off 
  • Gym reimbursement (up to $100 a month)
  • Commuter reimbursement (MTA, Metro North, etc..)
  • Free cell phone service
  • Your choice of equipment + Bose QC/Apple Airpod Pro headphones
  • 401k
Think you're a good fit? Apply to learn more!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.