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Analytics Engineer Jobs (NOW HIRING)

Caresoft Inc.

Analytics Engineer

Atlanta, GA · On-site

Title: Analytics Engineer Duration : Long term Location: Atlanta, Georgia 30334(Hybrid) Skills: Years of experience in data engineering or analytics engineering roles. Advanced SQL: Proficiency in ...

Tanzu

Analytics Engineer

Manhattan, NY · On-site

$100K - $140K/yr

Analytics Engineer We're looking for an Analytics Engineer to join as an early member of our Data Team and help build the systems that power artist sourcing, track pricing, portfolio management, and ...

HDR

Analytics Engineer

Omaha, NE · On-site

The Analytics Engineer will be responsible for transforming raw data into analytics-ready datasets to support enterprise reporting and business decision-making, collaborating with various teams to ...

21st Century Equipment

Analytics Engineer

Scottsbluff, NE · On-site

$70K - $75K/yr

21st Century Equipment LLC is looking for a full-time Analytics Engineer who thrives on creating clarity from complexity, building elegant analytics solutions, and empowering teams with reliable ...

Green Thumb

Analytics Engineer

Chicago, IL · On-site

$95K - $115K/yr

You'll sit within the Data Analytics organization reporting to the Senior Manager of Analytics Engineering, working at the intersection of data engineering and business intelligence. This is a hybrid ...

Koch

Analytics Engineer

Houston, TX · On-site

Job Summary : Koch Engineered Solutions (KES) is currently looking for an Analytics Engineer to join their global Information Technology team. In this role, you will design and deliver high-quality ...

Koch

Analytics Engineer

Tulsa, OK · On-site

Job Summary : Koch Engineered Solutions (KES) is currently looking for an Analytics Engineer to join their global Information Technology team. In this role, you will design and deliver high-quality ...

Green Thumb

Analytics Engineer

Chicago, IL · Hybrid

You'll sit within the Data Analytics organization reporting to the Senior Manager of Analytics Engineering, working at the intersection of data engineering and business intelligence. This is a hybrid ...

Plaid Inc

Analytics Engineer

San Francisco, CA · On-site

$157K - $214K/yr

The Analytics Engineering team owns the full-stack analytics foundation for Plaid's GTM, CGX, NEA and Marketing organizations. We build and maintain the core semantic layer data models (dbt on ...

Koch

Analytics Engineer

Wichita, KS · On-site

Job Summary : Koch Engineered Solutions (KES) is currently looking for an Analytics Engineer to join their global Information Technology team. In this role, you will design and deliver high-quality ...

Harborside

Analytics Engineer

San Francisco, CA · On-site

Analytics Engineer StateHouse Holdings Inc. ("StateHouse") is a vertically integrated cannabis enterprise with licenses spanning retail, major brands, distribution, cultivation, nursery, and ...

Amadeus Search

Analytics Engineer

Manhattan, NY · On-site

$150K - $200K/yr

Analytics Engineer Location: On-site, New York, NY Compensation: $150,000 - $200,000 base + competitive equity About the Role A well-funded, mission-driven startup in the healthcare and life sciences ...

TRM

Senior Analytics Engineer

Manhattan, NY · On-site

As a Senior Analytics Engineer on our Advanced Analytics team, you will help mature and scale the foundation of our analytics data ecosystem. You'll play a leading role in shaping best practices in ...

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Analytics Engineer information

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$62.5K

$109.1K

$178K

How much do analytics engineer jobs pay per year?

As of Jun 4, 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.

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.

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.

More about Analytics Engineer jobs
What cities are hiring for Analytics Engineer jobs? Cities with the most Analytics Engineer job openings:
What are the most commonly searched types of Analytics Engineer jobs? The most popular types of Analytics Engineer jobs are:
What states have the most Analytics Engineer jobs? States with the most job openings for Analytics Engineer jobs include:
What job categories do people searching Analytics Engineer jobs look for? The top searched job categories for Analytics Engineer jobs are:
Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $109,135 per year, or $52.5 per hour.
ANALYTICS ENGINEER

ANALYTICS ENGINEER

JASCO PRODUCTS COMPANY LLC

Oklahoma City, OK • On-site

Full-time

Posted 20 days ago

Job description

Jasco is looking for an Analytics Engineer who will be responsible for designing, building, and optimizing high-quality analytical data assets that power enterprise reporting, advanced analytics, and data-driven decision making. This role bridges analytics, engineering, and business intelligence by owning the presentation layer, ensuring data reliability, and enabling scalable, well-architected data solutions. The Analytics Engineer will leverage deep SQL expertise, Microsoft Fabric, and Power BI semantic modeling to transform raw data into trusted, performant analytical products. This role plays a critical part in defining data architecture standards, improving data quality and governance, and partnering closely with IT and business stakeholders to deliver actionable insights across the organization.
  • Design and maintain the analytical presentation layer in an existing data warehouse while partnering with IT and Architecture to evolve the enterprise data platform-applying analytical engineering and SQL best practices to deliver scalable, high-performance, and business-ready data models for Power BI reporting.
  • Architect and govern the enterprise BI ecosystem using Power BI and Microsoft Fabric environment designing scalable ingestion and reporting standards while establishing and leading a Power BI/Fabric Center of Excellence to define roles, governance, workspace strategy, content lifecycle and enterprise enablement.
  • Develop an AI-ready data experience so Copilot and AI tools can easily understand and answer questions-making analytics more intuitive, conversational, and accessible for business users.
  • Guide how data connects across major systems and platforms to ensure reliable, well-documented access, balancing performance, flexibility, and scalability across the organization.
  • Support and enable the BI team by advising on the design, documentation, optimization, and advanced analytics of shared Power BI data models-ensuring consistent business definitions, strong performance, and scalable, user-friendly reporting.
  • Own and drive analytical data quality by enforcing standards and governance, proactively identifying and resolving data issues, and ensuring accurate, complete, and consistent data across source systems, warehouses, semantic models, and reports.
  • Lead the development and execution of advanced Power Query and DAX solutions, translating complex business requirements into robust reporting outputs.
  • Collaborate with business stakeholders to gather and comprehend their reporting requirements and translate these needs into precise technical specifications.

  • Bachelor's degree in information systems, Computer Science, Data Analytics, Business, or equivalent practical experience.
  • 3+ years of advanced SQL experience including presentation layer views, stored procedures and working with complex relational data models.
  • Hands-on experience with Microsoft Fabric, Snowflake, and/or enterprise data lake architectures
  • Solid understanding of analytical engineering patterns and BI architecture.
  • Collaborative mindset with the ability to partner across IT, analytics, and business teams
  • Familiarity with programming languages (e.g., Python, R) is a plus

Only candidates in OK will be considered.
Jasco is an Equal Opportunity/Affirmative Action/E-Verify Employer

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