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Senior Analytics Engineer Jobs (NOW HIRING)

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 ...

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA

$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 ...

SolarWinds

Senior Analytics Engineer

Austin, TX

ROLE OVERVIEW As a Senior Analytics Engineer, you will own end-to-end analytics delivery - from well-governed dbt data models through to polished Tableau dashboards or AI solutions consumed by ...

CoreWeave

Senior Analytics Engineer

Sunnyvale, CA · On-site

$122K - $167K/yr

They are seeking a Senior Analytics Engineer to build and evolve the enterprise semantic layer, transforming raw data into trusted models and analytics-ready datasets to support decision-making ...

CoreWeave

Senior Analytics Engineer

Bellevue, WA · On-site

$117K - $161K/yr

They are seeking a Senior Analytics Engineer to build and evolve the enterprise semantic layer, transforming raw data into trusted models and analytics-ready datasets to support decision-making ...

Bamboo Health

Senior Analytics Engineer

As Senior Analytics Engineer, you will work alongside the Analytics and Visualization team and internal stakeholders to develop reporting solutions powered by our unique data pipeline. Successful ...

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 ...

SolarWinds

Senior Analytics Engineer

Austin, TX · On-site

ROLE OVERVIEW As a Senior Analytics Engineer, you will own end-to-end analytics delivery - from well-governed dbt data models through to polished Tableau dashboards or AI solutions consumed by ...

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 ...

fairlife

Sr. Analytics Engineer

Chicago, IL · On-site

$10K/mo

The Senior Analytics Engineer will be a foundational developer and force multiplier for fairlife's ambition to create a bestinclass Decision Intelligence (DI) ecosystem. This role will own the ...

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 ...

Ironclad

Senior Analytics Engineer

New York, NY · On-site

$147K - $184K/yr

About the Role As a Senior Analytics Engineer, you will be responsible for developing and optimizing our dbt infrastructure, implementing scalable data models, and ensuring consistent business logic ...

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 ...

HDR

Senior Analytics Engineer

Omaha, NE · On-site

$100K - $137K/yr

In the role of Senior Analytics Engineer, we'll count on you to: Lead design of complex analytics domains; standardize patterns and conventions across projects. Establish modeling standards for marts ...

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All JobsSenior Analytics Engineer Jobs

Senior Analytics Engineer information

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$59.5K

$126.6K

$183.5K

How much do senior analytics engineer jobs pay per year?

As of Jun 26, 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 engineers make $300,000 a year?

Senior Analytics Engineers with extensive experience, advanced skills in data modeling, and proficiency in tools like SQL, Python, or cloud platforms can earn $300,000 or more annually. High compensation often reflects leadership roles, specialized expertise, or work in competitive industries such as finance or technology.

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.

What does a senior analytics engineer do?

A senior analytics engineer designs, develops, and maintains data pipelines and analytics solutions to support business decision-making. They work with large datasets, use tools like SQL, Python, or cloud platforms, and often mentor junior team members to ensure data quality and efficiency.

How much do senior analytics engineers make in the US?

Senior analytics engineers in the US typically earn between $100,000 and $140,000 annually, with salaries varying based on experience, location, and industry. They often work with tools like SQL, Python, and data visualization platforms, and may receive additional compensation such as bonuses or stock options.

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.

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 engineer makes $500,000 a year?

Senior Analytics Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in data modeling, SQL, and tools like Python or Spark, and in high-demand industries or senior leadership roles. Compensation varies based on location, company size, and individual expertise.

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.
More about Senior Analytics Engineer jobs
What cities are hiring for Senior Analytics Engineer jobs? Cities with the most Senior 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 Senior Analytics Engineer jobs? States with the most job openings for Senior Analytics Engineer jobs include:
What job categories do people searching Senior Analytics Engineer jobs look for? The top searched job categories for Senior Analytics Engineer jobs are:
Senior Analytics Engineer jobs near you
Infographic showing various Senior Analytics Engineer job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.
Senior Analytics Engineer

Senior Analytics Engineer

Viasat, Inc.

Carlsbad, CA • On-site

$148K - $222K/yr

Full-time

Posted 2 days ago

Viasat rating

3.4

Company rating: 3.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

78th of 79 rated telecommunications companies

Job description

About us
One team. Global challenges. Infinite opportunities. At Viasat, we're on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We're looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team.
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 Direct-to-Device (D2D) markets. You'll translate executive-level business questions into scalable data pipelines and geospatial models, driving iterative cycles of data interpretation and assumption refinement. You'll turn ambiguous forecasting challenges into production-quality analytical tools-and just as importantly, help senior leadership understand what the data is (and isn't) telling them.
Reporting to the Director, Commercial Business Analytics, you'll operate at the intersection of business strategy and data engineering-close enough to executive stakeholders to shape the why behind the models, and close enough to engineering to ensure your work can be productionized and scaled. Your forecasting outputs feed directly into capacity feasibility analyses run by engineering teams, making the handoff relationship critical.
The day-to-day
  • Partner directly with business unit executives and C-level stakeholders to translate strategic forecasting needs into data models, proactively surfacing insights and challenging assumptions
  • Own and evolve demand forecasting pipelines using Python, SQL, and modern orchestration tools (Dagster, dbt, BigQuery)
  • Develop and extend geospatial demand models using GIS tooling (H3, PostGIS, Kepler.gl, GeoPandas) to translate global market opportunity into demand projections for targeted geographies
  • Drive forecasting model expansion to new business units and services through configurable, testable code-often where no existing baseline exists
  • Independently validate model outputs, refine assumptions, and recommend adjustments to input parameters based on observed patterns and business feedback
  • Interpret and present forecasting outputs in business context to senior leadership-identifying where model results challenge assumptions, surfacing data quality risks, and advising on methodology changes
  • Evaluate and integrate 3rd-party industry data to assess total global vertical demand and model geographic distribution
  • Build data structures with engineering handoff in mind-balancing analytical flexibility with the conventions and standards that enable smooth transition to production systems
  • Document methodologies, assumptions, and maintain clear data lineage across all forecasting workstreams
  • Deliver regional and scenario-based demand projections that directly inform capacity planning decisions
  • Collaborate with engineering teams who consume forecasting outputs, ensuring data formats, assumptions, and methodologies are well-documented and aligned with downstream systems
  • Continuously evaluate existing forecasting processes and recommend improvements to enhance accuracy, scalability, and stakeholder confidence

What you'll need
  • Bachelor's degree in a quantitative field
  • 5-8 years of experience in analytics engineering, data engineering, or quantitative analysis
  • Demonstrated experience managing executive and cross-functional stakeholder relationships-translating complex analytical outputs into actionable business guidance
  • Hands-on GIS and geospatial analysis experience (e.g., H3, PostGIS, GeoPandas, Kepler.gl, or equivalent tooling)
  • Strong SQL and cloud data warehouse experience (BigQuery preferred)
  • Python proficiency with data engineering and analytical libraries (pandas, scipy, etc.)
  • Proven ability to structure ambiguous business problems into well-defined analytical frameworks
  • Experience building maintainable, scalable data pipelines with clear documentation and lineage
  • Strong written and verbal communication skills, including experience presenting to senior leadership
  • Comfort owning outcomes in fast-paced, evolving environments with minimal supervision

What will help you on the job
  • Master's degree or equivalent experience in a quantitative field
  • Experience transitioning analytical models into production infrastructure alongside engineering teams
  • Satellite or telecom industry experience
  • Hands-on experience with Dagster, Airflow, or dbt
  • Demand forecasting or capacity planning experience
  • Familiarity with spatial statistics, coverage modeling, or network planning tools

Salary range
$119,000.00 - $188,500.00 / annually.For specific work locations within San Jose, the San Francisco Bay area and New York City metropolitan area, the base pay range for this role is $148,500.00- $222,500.00/ annually
At Viasat, we consider many factors when it comes to compensation, including the scope of the position as well as your background and experience. Base pay may vary depending on job-related knowledge, skills, and experience. Additional cash or stock incentives may be provided as part of the compensation package, in addition to a range of medical, financial, and/or other benefits, dependent on the position offered. Learn more about Viasat's comprehensive benefit offerings that are focused on your holistic health and wellness at https://careers.viasat.com/benefits.
EEO Statement
Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic. If you would like to request an accommodation on the basis of disability for completing this on-line application, please click here.
ViaSat logo

About ViaSat

Sourced by ZipRecruiter

At Viasat, we're on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate.

Industry

Telecommunications

Company size

5,001 - 10,000 Employees

Headquarters location

Carlsbad, CA, US

Year founded

1986

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