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Senior Analytics Engineer Jobs in Boston, MA (NOW HIRING)

They are seeking a Senior Analytics Engineer to work on developing data infrastructure and analytics solutions that support decision-making across the organization. Responsibilities : • Partner ...

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 ...

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 ...

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 ...

We are growing our Enterprise Data & Engineering team! We're looking for a Senior Analytics Engineer to help shape how data is transformed, modeled, and structured to power analytics and business ...

Sr. Analytics Engineer

West Roxbury, MA · On-site

$110K - $140K/yr

The Role ABCorp is seeking a highly skilled Senior Analytics Engineer to own the data and analytics strategy for our secure payment card solutions and enterprise SaaS products. This role will serve ...

We are growing our Enterprise Data & Engineering team! We're looking for a Senior Analytics Engineer to help shape how data is transformed, modeled, and structured to power analytics and business ...

Rockstar Games is on the lookout for a skilled Senior Analytics Engineer with strong software development skills who is passionate about games and big data. This is a full-time, in-office position ...

The Senior Analytics Engineer will own the data and analytics strategy for secure payment card solutions and enterprise SaaS products, partnering with cross-functional teams to build scalable data ...

Rockstar Games is on the lookout for a skilled Senior Analytics Engineer with strong software development skills who is passionate about games and big data. This is a full-time, in-office position ...

We are hiring a Senior Analytics Engineer (Finance) to build and own the data infrastructure powering WHOOP's financial planning model. This role sits at the intersection of Analytics Engineering and ...

As an integral part of the Data team, you will join forces with the Senior Analytics Engineer in our continued effort to inspire people to eat more plants. This position will play an important role ...

As an integral part of the Data team, you will join forces with the Senior Analytics Engineer in our continued effort to inspire people to eat more plants. This position will play an important role ...

As an integral part of the Data team, you will join forces with the Senior Analytics Engineer in our continued effort to inspire people to eat more plants. This position will play an important role ...

About the Role We're looking for a Senior Analytics Engineer to own end-to-end data pipelines and modeling across GTM (Sales) and Product domains. You'll build and maintain the source of truth for ...

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Senior Analytics Engineer information

See Boston, MA salary details

$64.8K

$137.9K

$199.9K

How much do senior analytics engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for senior analytics engineer in Boston, MA is $137,892.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,900.00 and $156,400.00 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.

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.

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 most commonly searched types of Analytics Engineer jobs in Boston, MA? The most popular types of Analytics Engineer jobs in Boston, MA are:
What are popular job titles related to Senior Analytics Engineer jobs in Boston, MA? For Senior Analytics Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Senior Analytics Engineer jobs in Boston, MA look for? The top searched job categories for Senior Analytics Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Senior Analytics Engineer jobs? Cities near Boston, MA with the most Senior Analytics Engineer job openings:
Infographic showing various Senior Analytics Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 90% Full Time, 2% Temporary, and 8% Contract. Highlights an 78% In-person, 6% Hybrid, and 16% Remote job distribution, with an average salary of $137,892 per year, or $66.3 per hour.

Senior Analytics Engineer

Rockstar Games

Andover, MA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Summary:
Rockstar Games is a leading entertainment company known for creating world-class experiences. They are seeking a Senior Analytics Engineer to work on developing data infrastructure and analytics solutions that support decision-making across the organization.
Responsibilities:
• Partner with Data Scientists and business stakeholders to understand analytical needs and translate them into robust data infrastructure and workflows for the global Analytics team.
• Collaborate with the Data Engineering team to design, develop and maintain scalable data models and pipelines.
• Monitor performance and optimize data systems for high performance and reliability.
• Collaborate with the Data Integrity team to build a Data Quality Framework that ensures production data meets SLAs for key stakeholders and business processes.
• Perform timely Root Cause Analysis to troubleshoot data-related issues; assist in implementation of code and process fixes.
• Provide thought leadership and collaborate with other team members to continue to scale our architecture to evolve for the needs of tomorrow.
• Contribute to the establishment of best practices including code standards, version control, documentation, testing, and review processes.
• Develop and support CI/CD processes using Terraform, Github, TeamCity, Octopus, etc.
• Define and implement monitoring and alerting policies for data solutions.
Qualifications:
Required:
• 5+ years of experience in analytics engineering or data engineering Python and PySpark.
• 5+ years of hands-on experience in using advanced SQL queries (analytical functions), experience in writing and optimizing highly efficient SQL queries.
• Bachelor’s degree or equivalent in an engineering or technical field such as Computer Science, Mathematics, Statistics, or strong quantitative and software background.
• Proven track record in building, monitoring, and optimizing large-scale data systems and analytics infrastructure.
• Experience working in Databricks & Azure environment (or other cloud equivalents).
• Experience working with pipeline scheduling tools such as Airflow & Astronomer.
• Experience working with CI/CD tools such as TeamCity, Terraform, Github, Octopus.
• Ability to push the frontier of technology and freely pursue better alternatives.
Preferred:
• Knowledge of software coding practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
• Streaming or NRT modeling experience.
• Passion for technical mentorship.
Company:
Rockstar Games is a multinational video game development and publishing company that provides a wide range of games. Founded in 1998, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.