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Analytic Engineer Jobs (NOW HIRING)

Protolabs

Principal Analytics Engineer

Maple Plain, MN · On-site

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 ...

AAA USA, Inc.

Structural Analysis Engineer

Wichita, KS · On-site

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

Oscar Health

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 ...

Oscar Health

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 ...

Alloy

Senior Analytics Engineer

New York, NY · Hybrid

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 ...

Alloy

Senior Analytics Engineer

New York, NY · On-site

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 ...

Brooksource

Product Analytics Engineer

New York, NY · On-site

$60 - $75/hr

Senior Product Analytics Engineer New York, NY Hybrid Role $60 - $75 per hour (dependent on years of experience) ABOUT THE ROLE Our client, a Fortune Broadcast Media & Entertainment organization, is ...

CFS

Analytics Engineer - Finance & BI

Maitland, FL · Hybrid

$120K/yr

Analytics Engineer - Finance & BI Salary: Up to $120,000 Location: Orlando, FL (Hybrid) Why This Opportunity Stands Out: * Join a growing Business Intelligence team with high visibility across the ...

Sutter Health

Analytics Engineer III

Sacramento, CA · On-site

$117K - $176K/yr

The Analytics Engineer 3 is a specialized mid level technical professional who exercises independent judgment to architect, engineer, and govern the enterprise "Semantic Layer." Unlike a report ...

Purple Carrot

Analytics Engineer

Dedham, MA · Hybrid

Description We are looking for an Analytics Engineer to join our mission-driven team. As an integral part of the Data team, you will join forces with the Senior Analytics Engineer in our continued ...

Sutter Health

Analytics Engineer III

Sacramento, CA · Hybrid

$117K - $176K/yr

The Analytics Engineer 3 is a specialized mid level technical professional who exercises independent judgment to architect, engineer, and govern the enterprise "Semantic Layer." Unlike a report ...

Axogen

Sr. Analytics Engineer

Tampa, FL · On-site

$98K - $135K/yr

Job Summary of the Sr. Analytics Engineer The Sr. Analytics Engineer will report to the Sr. Manager, Business Analytics and serve as the technical owner of Axogen's enterprise semantic models, KPI ...

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All JobsAnalytic Engineer Jobs

Analytic Engineer information

See salary details

$39K

$101.8K

$137.5K

How much do analytic engineer jobs pay per year?

As of Aug 11, 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:
What job categories do people searching Analytic Engineer jobs look for? The top searched job categories for Analytic Engineer jobs are:
Analytic Engineer jobs near you
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.

Principal Analytics Engineer

Protolabs

Maple Plain, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Protolabs rating

9.1

Company rating: 9.1 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

2nd of 84 rated plastic manufacturers

Job description

Be yourself at Protolabs
Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are an equal opportunity employer, and we are committed to building a diverse team that feels they are valued in the workplace. So do you feel you do not meet every single requirement but still intrigued? We encourage you to still apply! You can help make our company even better. We do not discriminate based on race, color, national origin, sexual orientation, gender, age, mental or physical ability, or any way you represent yourself. We strongly believe diversity makes for more successful teams.
Why Protolabs?
We are the leaders in digital manufacturing. We hire doers, makers, and creative thinkers who tackle our roles with an entrepreneurial spirit. Our culture is centered around meaningful work that brings new and innovative products to market at unprecedented speeds. We are a diverse team that comes from all walks of life and take pride in our team who is smart, genuine, humble, and passionate about what we do. It's our people who fuel our creativity and make our culture feel like home.
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 our team. This role is responsible for building the trusted data foundations that power business decision-making across the company. Working at the intersection of business, analytics, and technology, you will translate complex data and business processes into scalable, well-governed data products.
As a senior technical leader, you will partner closely with stakeholders across the business, Analytics, Data Engineering, Architecture, AI, and Software Engineering teams. A key focus will be leading the migration from legacy DOMO reporting to our modern Snowflake and dbt platform, ensuring business logic and reporting knowledge are transformed into sustainable, future-ready data models.The ideal candidate combines deep SQL and analytics engineering expertise with a strong understanding of business processes, metrics, and systems. You thrive in ambiguity, bridge the gap between technical and business teams, and help ensure data accurately reflects how the organisation operates.
What You'll Do
  • Lead the design, ownership, and continuous improvement of enterprise analytics data models across multiple business domains
  • Drive the migration of legacy DOMO transformation logic to our modern Snowflake and dbt data platform
  • Partner closely with business stakeholders to understand processes, metrics, operational workflows, controls, and decision-making needs
  • Work with the Analytics team to ensure business definitions, metrics, and data models remain trusted, consistent, and aligned across the organisation
  • Collaborate with software development teams and source system owners to understand how data is generated, structured, and maintained
  • Translate complex and often ambiguous business requirements into scalable, maintainable, and well-documented data products
  • Serve as a senior subject matter expert in analytics engineering, SQL, data modelling, metric definition, and business data interpretation
  • Establish and promote best practices for data modelling, documentation, testing, and analytics engineering across the data platform
  • Partner with the Principal Data Engineer and Data Architect to align data architecture, ingestion strategies, transformation frameworks, and consumption patterns
  • Collaborate with the Analytics Quality Engineer to continuously improve data quality, testing, governance, validation, and reliability standards
  • Work closely with AI teams to ensure analytical datasets and semantic models support AI, machine learning, and advanced analytics use cases
  • Serve as a cross-functional subject matter expert, quickly developing expertise across new business domains while helping preserve and scale organisational knowledge through data products and documentation
  • Mentor and support Analytics Engineers, fostering excellence in SQL, data modelling, stakeholder management, business analysis, and analytics engineering best practices
  • Lead complex investigations across business processes, source systems, data pipelines, metrics, and reporting to identify root causes and drive resolution
  • Champion trust in data by ensuring critical datasets and models are accurate, transparent, well-governed, and aligned with real-world business operation
  • Create and maintain clear, comprehensive documentation covering business processes, metric definitions, transformations, data lineage, assumptions, and operational logic

What It Takes
  • 10+ years of experience in Analytics Engineering, Business Intelligence, Data Modelling, Data Warehousing, or related disciplines
  • Significant experience partnering directly with business stakeholders to understand processes, metrics, operational workflows, and business challenges
  • Significant experience designing and maintaining analytical data models across multiple functional domains
  • Expert-level SQL skills with the ability to simplify, optimise, document, and explain complex business logic and transformations
  • Deep understanding of analytical data modelling and data product development
  • Strong business acumen and curiosity, with the ability to quickly understand new domains and connect business processes to data structures
  • Strong experience working in ambiguous environments and bringing structure to complex data landscapes
  • Exceptional stakeholder management and communication skills, with the ability to engage effectively with both technical and non-technical audiences
  • Ability to work comfortably across multiple domains while maintaining an end-to-end understanding of how business processes connect across the organization
  • Strong understanding of data quality, validation, testing, reconciliation, and root-cause analysis practices
  • Experience establishing standards, best practices, and governance approaches across analytical environments
  • Strong documentation and knowledge sharing practices
  • Experience mentoring and influencing peers and teams without relying on direct authority
  • Experience with Git-based development workflows and CI/CD practices

What Sets You Apart
  • Experience with dbt or equivalent modern SQL-based transformation frameworks
  • Experience leading or contributing to migrations from legacy analytics environments into modern data platforms
  • Experience with DOMO, including understanding of legacy reporting, ETL, and business logic implementations
  • Experience working with Finance, Human Resources, or other highly governed and business-critical data domains
  • Experience supporting enterprise reporting, KPI governance, semantic modelling, or data governance initiative
  • Experience with BI platforms such as Power BI, Tableau, Looker, or similar technologies
  • Exposure to data cataloguing, metadata management, lineage, observability, or governance platforms

What's In It For You?
  • We offer a competitive salary and annual bonus opportunity
  • In addition, we offer amazing benefits including but not limited to:
    • Health Insurance: Traditional OR High Deductible plan
    • Flexible Spending Accounts
    • Health Savings Account (including employer contributions)
    • Dental and Vision
    • Basic and Supplemental Life Insurance
    • Short-Term and Long-Term Disability
  • Paid caregiver leave
  • You will receive PTO + Holiday Pay + Wellness Hours + Volunteer Hours
  • 401k with company match and immediate vest
  • Employee Stock Purchase Program at a 15% discounted rate
  • Matching grants through Protolabs foundation
  • And More!

$131,500 - $197,300 a year
Protolabs offers a competitive total rewards package, and compensation mix vary based on position, such as base wage, as well as other earnings including incentives and commissions. Actual pay offered will vary depending on multiple factors which may include, without limitation, job function, work experience, specialized skills, training, education, and certifications.
Proto Labs maintains ITAR-compliant operations in all of our United States based facilities. Due to ITAR regulations, this role is only open to U.S. Citizens, lawful permanent residents (green card holders) or foreign nationals granted refugee or asylee status. Individuals with temporary visas (e.g. E, F-1, H-1, H-2, L, B, J, TN or OPT) are not eligible for hire in this role.
Proto Labs, Inc. is an Equal Opportunity Employer
Physical Demands:
While performing the essential duties of this job, the employee is regularly required to sit; use a computer keyboard, monitor and mouse, telephone and printer; reach with hands, and arms, talk, see and hear. The employee is occasionally required to stand, walk, stoop or kneel and must occasionally lift and/or move up to 25 pounds.
Work Environment:
Indoors (A/C); nonsmoking; the majority of this job function is performed in an office setting requiring normal safety precautions. However, there may be job duties that require the employee to spend time in the manufacturing areas exposed to machinery and noise; eye protection occasionally required. Occasionally works in outside weather conditions. Occasionally works near moving mechanical parts and in high, precarious places and is occasionally exposed to wet and/or humid conditions, fumes or airborne particles, toxic or caustic chemicals, risk of electrical shock and vibration. The noise level in the work environment is usually quiet to moderate.

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