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Analytics Enginer Jobs (NOW HIRING)

Lead Analytics Engineer

Kansas City, MO · On-site

$100K - $131K/yr

The Lead Analytics Engineer is responsible for establishing the Analytics Engineering discipline. This role defines and evolves the data modeling patterns, business logic frameworks, and ...

DR - We're seeking an Analytics Engineer to own the data foundations that fuel the GTM teams: building reliable models, shaping metrics, powering automation, and turning raw data into the insights ...

CAPTRUST is seeking an Analytics Engineer to design, build, and maintain analytics-ready data models that enable trusted reporting, self-service analytics, and downstream decision-making across the ...

Create analytical models, metrics, transformations, and documentation. * Partner with data engineering on quality, lineage, and performance. * Work with users to define metrics and answer operational ...

Analytics Engineer Posting Start Date: 7/9/26 Summary The Analytics Engineer plays a key role on the Data and Analytics team working at the intersection of data engineering and analytics ensuring ...

Analytics Engineer

$140K - $190K/yr

Comfortable operating in motion The Role As an Analytics Engineer at OnePay, you'll own the analytics foundation (dbt models, testing, and Databricks BI) so the business can move fast on trusted data.

Analytics Engineer Full-time Huntsville, AL About Us Trideum Corporation is a 100% employee-owned company, committed to embracing the worlds toughest challenges with a servants heart. Through ...

Overview Summary The Analytics Engineer is responsible for designing, developing, and supporting enterprise reporting and analytics solutions that turn business requirements into reliable, governed ...

Analytics Engineer

$80 - $100/hr

Lead Analytics Engineer / Delivery Lead Client Location: McLean, VA Work Location: Remote (USA) Duration: Long Term Rate: Quote your best Required Qualifications: * At least 10+ years extensive ...

Analytics Engineer

Nashville, TN · On-site

$77K - $113K/yr

The Analytics Engineer produces consumable data products, including analytical data models and curated tables, metrics, and visualizations that enable others to explore trends, ask questions, and ...

CAPTRUST is seeking an Analytics Engineer to design, build, and maintain analytics‑ready data models that enable trusted reporting, self‑service analytics, and downstream decision‑making across ...

Overview Summary The Analytics Engineer is responsible for designing, developing, and supporting enterprise reporting and analytics solutions that turn business requirements into reliable, governed ...

Overview Summary The Analytics Engineer is responsible for designing, developing, and supporting enterprise reporting and analytics solutions that turn business requirements into reliable, governed ...

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 ...

This is MLG's first-ever Analytics Engineer hire, supporting the modernization of reporting, analytics, and data operations across the firm. Role Overview This role is designed as a modern hybrid ...

Analytics Engineer Location : Philadelphia, PA Duration : long Job Summary A highly experienced analytics engineer with experience of working with large-scale, distributed data pipelines, you will be ...

Analytics Engineer

Watertown, MA · On-site

$117K - $120K/yr

Analytics Engineer III What you will achieve You will take ownership of how Addgene's data is structured, documented, and maintained, and establish the standards and practices that define how the ...

New

Analytics Engineer

WV · On-site +1

$127K - $172K/yr

Yes The Senior Analytics Engineer provides advanced analytics and data engineering support across multiple business and program areas. This role sits at the intersection of data engineering ...

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 ...

Showing results 41-60

Analytics Enginer information

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$52

$79

How much do analytics enginer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for analytics enginer in the United States is $52.26, according to ZipRecruiter salary data. Most workers in this role earn between $37.98 and $65.14 per hour, depending on experience, location, and employer.

What are popular job titles related to Analytics Enginer jobs?

For Analytics Enginer jobs, the most frequently searched job titles are:

Lead Analytics Engineer

Kansas City, MO • On-site

Lockton, Inc.
Insurance Services • 10K+ employees

$100K - $131K/yr

Full-time

Posted 14 days ago


Key responsibilities

  • Lead the design, development, and stewardship of enterprise data products, analytical data models, and shared metrics.

  • Establish and evolve standards for data modeling, transformations, testing, validation, documentation, and semantic definitions, and promote their consistent use.

  • Provide technical leadership, mentorship, and guidance to Analytics Engineers, and serve as the escalation point for complex data challenges.


Lockton rating

9.0

Company rating: 9.0 out of 10

Based on 47 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
The Lead Analytics Engineer is responsible for establishing the Analytics Engineering discipline. This role defines and evolves the data modeling patterns, business logic frameworks, and implementation standards that guide the team's work. You remain hands-on in design and implementation, providing technical direction and serving as the authority on complex data decisions.
Key Responsibilities
Enterprise Data Products & Architecture
• Lead the design and stewardship of enterprise data products, analytical data models, shared metrics, semantic definitions, and reference data.
• Define and evolve the Analytics Engineering architecture, data modeling patterns, and implementation practices the team follows.
• Guide technical design decisions and evaluate tradeoffs related to scalability, maintainability, quality, performance, and long-term support.
• Establish review practices for significant changes to core data assets, metrics, dimensions, and business rules.
Standards, Governance & Quality
• Establish and evolve standards for data modeling, transformations, testing, validation, documentation, naming conventions, and semantic definitions.
• Promote consistent use of standards and reusable assets through technical reviews, guidance, and mentorship.
• Establish quality control and change management practices that improve the reliability and maintainability of data assets.
• Lead complex troubleshooting and root cause analysis efforts.
Analytics Engineering Delivery
• Partner with Data Engineers, Analytics Engineers, and business stakeholders to deliver scalable and sustainable data solutions.
• Provide technical direction on solution design, implementation approaches, and technical prioritization.
• Identify opportunities to improve development processes, architecture, reuse, and long-term supportability.
• Ensure business logic, metrics, and semantic definitions are implemented consistently across data assets and analytical models.
Leadership
• Provide technical leadership, mentorship, and guidance to Analytics Engineers.
• Serve as the technical escalation point for complex Analytics Engineering challenges.
• Help establish a culture of technical discipline, thoughtful design, and continuous improvement.
Requirements:
• Experience working within insurance, brokerage, financial services, or other complex data-intensive industries.
• Advanced SQL and data modeling experience.
• Experience designing and maintaining enterprise-scale analytical data models.
• Experience implementing business logic, metrics, semantic definitions, and reusable data assets.
• Experience working with modern cloud-based analytics and data platforms, such as Databricks.
• Strong understanding of data quality, validation, testing, and governance practices.
• Experience mentoring technical team members and leading solution design efforts.
• Strong analytical and problem-solving skills.
• Ability to balance business needs, maintainability, scalability, and long-term support considerations.
Success Looks Like
• Shared business logic is reused rather than recreated.
• Standards and processes are consistently followed across the discipline.
• Data models, business rules, and semantic definitions remain maintainable and well documented.
• Analytics Engineers have clear technical direction and guidance.
• New solutions are built using common patterns rather than one-off approaches.
• Enterprise metrics, dimensions, and business rules remain consistent across data assets.
• Analytics Engineering practices continue to scale as adoption and demand grow.
• Data assets are easier to maintain, support, and evolve over time.
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