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Senior Analytics Engineer Jobs (NOW HIRING)

Data Direct Networks

Senior Analytics Engineer

New York, NY · On-site

$114K - $157K/yr

We're looking for a Senior Analytics Engineer to own the transformation and modeling layer of DDN's enterprise data platform. You'll turn raw data from Salesforce, Workday, product systems, and other ...

Fora Travel

Senior Analytics Engineer

Manhattan, NY · On-site

They are seeking a Senior Analytics Engineer to scale data modeling and delivery across the company, ensuring timely and actionable insights for stakeholders. Responsibilities : • Own and mature ...

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA · On-site

$148K - $222K/yr

What you'll do As a Senior Analytics Engineer, you will own and extend our demand forecasting platform, modeling satellite bandwidth requirements across Maritime, Aviation, Enterprise, and emerging ...

Connie Health Inc

Senior Analytics Engineer

Boston, MA · On-site +1

Role Overview Connie Health is seeking an experienced Senior Analytics Engineer to own our data transformation layer end-to-end. You will provide clean, well-modeled, documented datasets that empower ...

Premier Truck Rental

Senior Analytics Engineer

Chicago, IL · On-site

$107K - $147K/yr

POSITION SUMMARY As a Senior Analytics Engineer , you will serve as the technical leader responsible for building and maintaining the transformation and semantic layer that powers enterprise-wide ...

Connie Health

Senior Analytics Engineer

Boston, MA · On-site

Role Overview Connie Health is seeking an experienced Senior Analytics Engineer to own our data transformation layer end-to-end. You will provide clean, well-modeled, documented datasets that empower ...

Twilio

Senior Analytics Engineer

See yourself at Twilio Join the team as Twilio's next Sr. Analytics Engineer, R&D. About the job This position is needed to advance the consistency & quality of our R&D analytics data layer and ...

Premier Truck Rental

Senior Analytics Engineer

Fort Worth, TX · On-site

$100K - $137K/yr

POSITION SUMMARY As a Senior Analytics Engineer , you will serve as the technical leader responsible for building and maintaining the transformation and semantic layer that powers enterprise-wide ...

Connie Health Inc

Senior Analytics Engineer

Boston, MA · On-site

Role Overview Connie Health is seeking an experienced Senior Analytics Engineer to own our data transformation layer end-to-end. You will provide clean, well-modeled, documented datasets that empower ...

Vanta

Senior Analytics Engineer

$157K - $185K/yr

As a Senior Analytics Engineer, you'll be responsible for laying the foundation for a best-in-class analytics function. You'll partner closely with our data science team and business stakeholders to ...

THISTLE HEALTH INC

$96K - $132K/yr

About the Role The Senior Analytics Engineer will play a critical leadership role in shaping and scaling Thistle's data infrastructure, strategy, and culture. You will be responsible for driving the ...

Premier Truck Rental

Senior Analytics Engineer

Detroit, MI · On-site

$103K - $142K/yr

POSITION SUMMARY As a Senior Analytics Engineer , you will serve as the technical leader responsible for building and maintaining the transformation and semantic layer that powers enterprise-wide ...

Premier Truck Rental

Senior Analytics Engineer

Fort Wayne, IN · On-site

$103K - $141K/yr

POSITION SUMMARY As a Senior Analytics Engineer , you will serve as the technical leader responsible for building and maintaining the transformation and semantic layer that powers enterprise-wide ...

Premier Truck Rental

Senior Analytics Engineer

Atlanta, GA · On-site

$100K - $138K/yr

POSITION SUMMARY As a Senior Analytics Engineer , you will serve as the technical leader responsible for building and maintaining the transformation and semantic layer that powers enterprise-wide ...

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Senior Analytics Engineer information

See salary details

$59.5K

$126.6K

$183.5K

How much do senior analytics engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for senior analytics engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a senior analytics engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

How does a senior analytics engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.

What are the key skills and qualifications needed to thrive as a senior analytics engineer, and why are they important?

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

What is the difference between Senior Analytics Engineer vs Data Engineer?

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

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Senior Analytics Engineer jobs near you
Infographic showing various Senior Analytics Engineer job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Senior Analytics Engineer

Data Direct Networks

New York, NY • On-site

$114K - $157K/yr

Full-time

Posted 23 days ago

Job description

We're looking for a Senior Analytics Engineer to own the transformation and modeling layer of DDN's enterprise data platform. You'll turn raw data from Salesforce, Workday, product systems, and other sources into trusted, well-documented datasets that stakeholders across Sales, Finance, Product, and Operations actually use to make decisions. You'll work closely with data engineers who manage ingestion and infrastructure, and with analysts and business partners who consume what you build.
What You'll Own
  • Data modeling - design, build, and maintain dbt models that transform raw data into clean, reliable datasets for analytics and reporting
  • Data quality - implement and maintain testing, monitoring, and documentation so stakeholders can trust what they're looking at
  • BI & semantic layer - build and maintain Sigma data models and workbooks that give business users self-serve access to data
  • Collaboration - partner with business stakeholders to understand their analytical needs and translate them into scalable, maintainable data models; work with data engineers on source data requirements

Your Experience Includes
  • 5+ years in analytics engineering, data engineering, or a similar data-focused role
  • Expert-level SQL including experience with complex joins, window functions, CTEs, and performance tuning
  • Strong experience with dbt for building and maintaining transformation pipelines
  • Hands-on experience with a cloud data warehouse (BigQuery, Snowflake, Redshift, or similar)
  • Understanding of dimensional modeling and data warehouse design patterns
  • Experience building and maintaining BI content (dashboards, data models, semantic layers) in tools like Sigma, Looker, or similar
  • Strong Python skills for data analysis, automation, or pipeline work
  • Solid understanding of data quality practices including testing, monitoring, documentation
  • Strong communication skills and demonstrated ability to translate technical concepts for business stakeholders
  • Bachelor's degree in a quantitative field or equivalent practical experience

Nice to Have
  • Experience with Sigma Computing specifically
  • Familiarity with data quality frameworks (e.g., Elementary, Great Expectations)
  • Familiarity with data governance practices - PII handling, access controls, documentation standards
  • Experience with version-controlled, CI/CD-driven analytics workflows
  • Prior experience in a small data team where you wore multiple hats

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