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Analytics Engineer Jobs (NOW HIRING)

Trideum Corporation

Analytics Engineer

Huntsville, AL · On-site

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

Morgan & Morgan, P.A.

Analytics Engineer

New York, NY · On-site

$120K - $160K/yr

Qualifications • BS or MS in Engineering, Computer Science, Statistics, or related quantitative field. • 4+ years of experience in data science, engineering, analytics, or forecasting in a ...

G3

Analytics Engineer

Modesto, CA · On-site

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 ...

New

Stem Xpert

Analytics Engineer

Philadelphia, PA

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 ...

MLG Capital

Analytics Engineer

Brookfield, WI · On-site

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 ...

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 ...

AHU Technologies, Inc.

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 ...

Justworks

Senior Analytics Engineer

New York, NY

As a Senior Analytics Engineer, you will be a key contributor in helping the organization derive more value from its datasets through scalable, modular design of our enterprise data models and ...

hillman

Analytics Engineer

Cincinnati, OH · On-site

Job Summary The Analytics Engineer plays a critical role in enabling enterprise reporting and data-driven decision-making by transforming raw data into trusted, well-modeled datasets. This role ...

hillman

Analytics Engineer

Cincinnati, OH

Job Summary The Analytics Engineer plays a critical role in enabling enterprise reporting and data-driven decision-making by transforming raw data into trusted, well-modeled datasets. This role ...

The LaSalle Group

Analytics Engineer

Fort Worth, TX · On-site

$100/hr

Our client is seeking an experienced Analytics Engineer to join its growing Data & Analytics team. This role is ideal for someone who enjoys solving business problems through data, partnering ...

New

Guild

Analytics Engineer

Denver, CO

$110K - $159K/yr

Guild is hiring an Analytics Engineer who will sit at the intersection of data, AI, infrastructure, and analytics, to help shape and deliver valuable data and business-critical reporting and insights ...

PermitFlow

Analytics Engineer

New York, NY · On-site

$125K - $215K/yr

Role Overview We are looking for a talented and passionate Analytics Engineer to join our team. In this role, you will be responsible for designing, building, and maintaining data infrastructure to ...

Feastables

Senior Analytics Engineer

Chicago, IL

$130K - $160K/yr

The Senior Analytics Engineer is responsible for building and maintaining the core data workflows that support demand planning, supply pacing, and business performance tracking. This role translates ...

hillman

Analytics Engineer

Cincinnati, OH · On-site

Job Summary The Analytics Engineer plays a critical role in enabling enterprise reporting and data-driven decision-making by transforming raw data into trusted, well-modeled datasets. This role ...

hillman

Analytics Engineer

Cincinnati, OH

Job Summary The Analytics Engineer plays a critical role in enabling enterprise reporting and data-driven decision-making by transforming raw data into trusted, well-modeled datasets. This role ...

hillman

Analytics Engineer

Cincinnati, OH · On-site

Job Summary The Analytics Engineer plays a critical role in enabling enterprise reporting and data-driven decision-making by transforming raw data into trusted, well-modeled datasets. This role ...

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All JobsAnalytics Engineer Jobs

Analytics Engineer information

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$62.5K

$109.1K

$178K

How much do analytics engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for analytics engineer in the United States is $109,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $122,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Analytics Engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an Analytics Engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an Analytics Engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
More about Analytics Engineer jobs
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Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $109,135 per year, or $52.5 per hour.

Analytics Engineer

Church Mutual Insurance, S.I.

Milwaukee, WI • On-site

Full-time

Re-posted 29 days ago

Job description

***This is a hybrid role (in office days Tuesday-Thursday) at one of our office locations below:
Milwaukee, WI
Madison, WI
Merrill, WI
BASIC PURPOSE:
The Analytics Engineer develops and maintains enterprise analytics solutions using Microsoft Fabric, Python, SQL, and modern BI tools to support data and reporting needs across all functional areas of the company including Underwriting, Claims, Finance, Risk, Operations, and Distribution. This role is responsible for building scalable data models, pipelines, and semantic layers within Microsoft Fabric to enable self-service analytics and high-quality data delivery across the organization.
This role will also support the modernization of the organization's analytics ecosystem by driving adoption of Microsoft Fabric capabilities including OneLake, Lakehouse architecture, Data Pipelines, Notebooks, and governance standards.
PRIMARY JOB RESPONSIBILITIES:
  • Design, build, and maintain scalable data pipelines and Lakehouse architecture within Microsoft Fabric.
  • Develop semantic models, datasets, and reusable analytics assets leveraging Fabric's Lakehouse, Warehouse, Pipelines, and Dataflows Gen2.
  • Implement data transformations and automation using Python, SQL, and Fabric Notebooks.
  • Create and optimize Fabric data engineering workflows, including ingestion, transformation, orchestration, and monitoring.
  • Partner with business leaders across the enterprise to translate analytics needs into scalable data solutions.
  • Develop dashboards and analytical reports using Power BI as the primary visualization layer on top of Fabric datasets.
  • Ensure data reliability and quality through validation, profiling, documentation, and monitoring practices.
  • Collaborate closely with IT, Data Engineering, and business units to understand data sources, resolve data issues, and improve data accessibility.
  • Support Fabric workspace provisioning, governance, security configuration, and lifecycle management.
  • Contribute to the development of enterprise data governance standards, metadata practices, and data cataloging.
  • Provide guidance, coaching, and training to business teams on Fabric and modern analytics tooling.
  • Support enterprise data modernization initiatives and cross-functional analytics projects.

QUALIFICATIONS:
  • Bachelor's degree in Data Analytics, Data Science, Statistics or related field. May consider equivalent experience in lieu of a degree.
  • Three or more years of experience in data engineering, analytics engineering, business intelligence, or a related field are required, preferably an analytical role in a property and casualty insurance setting.
  • In-depth knowledge of insurance business functions, operations, objectives, and information flow, specific knowledge of underwriting processes is preferred.
  • Strong hands-on experience with Microsoft Fabric, including Lakehouse, Pipelines, Delta tables, Dataflows Gen2, and semantic modeling.
  • Proficiency with Python for data preparation, automation, and analytics workflows.
  • Strong SQL skills and experience working with relational, cloud, or big data platforms.
  • Experience building or managing BI models and reports (Power BI preferred).
  • Familiarity with modern data engineering patterns, including ELT, Lakehouse architecture, and version-controlled analytics workflows.
  • Ability to communicate complex technical concepts to non-technical audiences.
  • Experience with data governance, data quality management, and metadata concepts is preferred.
  • Knowledge of insurance operations is helpful but not required.
  • Strong collaboration skills and the ability to support and mentor others.

WORK ENVIRONMENT:
Professional office environment.
NOTE: This job description in no way states or implies that these are the only duties performed by this employee. Employees may be requested to perform job-related tasks other than those specifically presented in this job description. The employer reserves the right to change or assign other duties to this position.
The CM Group is made up of Church Mutual Insurance Company, S.I., CM Regent Insurance Company, CM Vantage Specialty Insurance Company and CM Select Insurance Company.

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