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Senior Analytics Engineer Jobs (NOW HIRING)

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 ...

Senior Analytics Engineer

Manhattan, NY · On-site

$115K - $158K/yr

We're looking for Senior Analytics Engineers to own the data stack end-to-end building scalable dbt models, optimizing ELT pipelines, and enabling data-driven decisions across the business. Note ...

Senior Analytics Engineer

San Mateo, CA · Remote

$105K - $125K/yr

About the job As a pivotal member of our Business Operations Team, the Senior Analytics Engineer will own and scale our reporting infrastructure across Redshift, dbt, and Tableau. You'll transform ...

About The Role Fora is hiring its first Senior Analytics Engineer to help scale how data is modeled, curated, and delivered across the company. As our centralized data team grows, we're looking for a ...

The Senior Analytics Engineer, Marketing Opportunity We are seeking a Senior Analytics Engineer to serve as the technical architect of our marketing data engine. You will own our marketing ...

Sr. Analytics Engineer

Raleigh, NC · On-site

$101K - $139K/yr

We are seeking a Senior Analytics Engineer to serve as a senior technical authority for the analytics data layer, driving scalable modeling patterns, governance, and performance across multiple ...

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 ...

About the job As a pivotal member of our Business Operations Team, the Senior Analytics Engineer will own and scale our reporting infrastructure across Redshift, dbt, and Tableau. You'll transform ...

Sr. Analytics Engineer

Chicago, IL · On-site

$107K - $147K/yr

Sr. Analytics Engineer Chicago, Illinois, United States fairlife, LLC is a Chicago-based nutrition company that creates great-tasting, nutrition-rich and dairy products to nourish consumers. With ...

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 ...

Senior Analytics Engineer

Chicago, IL · On-site

$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 ...

Senior Analytics Engineer at SpotHero: As a Senior Analytics Engineer, you are responsible for bridging the gap between Data Engineering and Data Analysts. At SpotHero, this role will focus on ...

Sr. Analytics Engineer

Raleigh, NC

$101K - $139K/yr

We are seeking a Senior Analytics Engineer to serve as a senior technical authority for the analytics data layer, driving scalable modeling patterns, governance, and performance across multiple ...

Senior Analytics Engineer

San Francisco, CA · On-site

$123K - $169K/yr

As the Senior Analytics Engineer on this team, you'll own that foundation end-to-end. You'll architect the warehouse and the semantic layer, bring new data sources online as the business expands, and ...

Sr. Analytics Engineer

Raleigh, NC · On-site

$101K - $139K/yr

We are seeking a Senior Analytics Engineer to serve as a senior technical authority for the analytics data layer, driving scalable modeling patterns, governance, and performance across multiple ...

Senior Analytics Engineer

Harrisburg, PA · On-site

$103K - $141K/yr

The role of the Sr Analytics Engineer is to build the data transformation architecture that enables reliable analytics and positions us for what's next. This person brings deep technical expertise in ...

Senior Analytics Engineer

Harrisburg, PA · On-site +1

$103K - $141K/yr

The role of the Sr Analytics Engineer is to build the data transformation architecture that enables reliable analytics and positions us for what's next. This person brings deep technical expertise in ...

Senior Analytics Engineer

Manhattan, NY · Remote

$175K - $205K/yr

Senior Analytics Engineer The Senior Analytics Engineer will report to the Senior Manager - Data Platform & Analytics Engineering. Responsibilities Transform raw data into well-structured datasets ...

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Showing results 1-20

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 Jun 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 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 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.

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:
Infographic showing various Senior Analytics Engineer job openings in the United States as of May 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.
Senior Analytics Engineer

Senior Analytics Engineer

Okta, Inc.

San Francisco, CA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Global Data & Insights Team

Okta's Enterprise Data & Insights team powers the data infrastructure that drives decision-making across the company by building reliable pipelines, scalable data platforms, and production-grade data products. We partner closely with internal Data and Insights Analysts as well as external Okta Product teams to unlock business value through robust data architecture, efficient data movement, and the engineering foundations that make data trustworthy at scale.

The Senior Analytics Engineer, Marketing Opportunity

We are seeking a Senior Analytics Engineer to serve as the technical architect of our marketing data engine. You will own our marketing attribution logic and end-to-end funnel performance data, evolving our current processes into an enterprise-grade ecosystem. Your mission is to uncover the high-fidelity signals that drive new customer acquisition and maximize expansion within our existing base. You'll tackle a sophisticated roadmap of advanced analytics, transforming raw touchpoints into a trusted, scalable framework for growth.

This role sits at the intersection of business context and technical execution. You will design scalable data models, define consistent business logic, and help establish a strong semantic foundation that enables both human analytics and machine-driven intelligence.

You will partner closely with Marketing stakeholders, Data Analysts, Data Scientists, and Data Engineers to ensure data is accurate, consistent, and easy to consume; whether through dashboards, self-service exploration, or AI-powered workflows.

What you'll be doing

Data Modeling & Semantics

  • Design, build, and maintain scalable data models using dbt and Snowflake
  • Define and standardize core Marketing metrics (e.g., pipeline, campaign performance, attribution, conversion rates)
  • Establish consistent modeling patterns, naming conventions, and semantic clarity across datasets
  • Contribute to a shared semantic layer that enables consistent reporting across channels and tools

AI-Ready Data & Snowflake Ecosystem

  • Prepare high-quality, well-governed datasets for use with Snowflake Cortex and Snowflake Intelligence
  • Enable data foundations that support LLM-powered use cases such as campaign insights, segmentation, and performance optimization
  • Ensure data is context-rich, well-documented, and aligned with business meaning to improve AI accuracy and usability

Data Quality, Governance & Trust

  • Implement robust testing, validation, and documentation practices in dbt
  • Ensure consistency across dashboards and marketing tools through shared definitions and reusable models
  • Apply data governance best practices, including access controls, lineage, and auditability
  • Partner across teams to establish clear ownership of marketing data assets and definitions

Collaboration & Delivery

  • Partner with Marketing, Customer First, and Analytics teams to translate business needs into scalable data solutions
  • Support self-service analytics by building intuitive, reusable datasets across channels (e.g., digital, lifecycle, events)
  • Contribute to scalable data workflows that balance immediate campaign needs with long-term maintainability
  • Work within an agile environment, contributing to planning, prioritization, and continuous improvement

AI and Data Mindset

  • Demonstrate an AI-first mindset, thinking beyond data models and dashboards to how data can power intelligent systems and decision-making
  • Understand the importance of well-modeled, well-documented, and semantically clear data for AI and LLM-based use cases
  • A level of comfort leveraging AI-assisted workflows to improve productivity, code quality, and consistency
  • Curiosity for emerging capabilities in platforms like Snowflake Cortex and Snowflake Intelligence, and how they can be applied to Marketing analytics

What you'll bring to the role
  • 5-8+ years of experience in Analytics Engineering, Data Engineering, or similar roles
  • Strong SQL skills and experience building analytics-ready data models
  • Mentorship & Engineering Excellence: Mentorship, raising the technical bar, establishing organization-wide standards for dbt/SQL quality and CI/CD
  • Hands-on experience with dbt and Snowflake or other ETL, Modeling and database platforms
  • Solid understanding of data modeling principles, including dimensional modeling and semantic design
  • Experience working with Marketing data (e.g., campaign data, web analytics, CRM, attribution models)
  • Familiarity with tools such as Salesforce, Marketo, Google Analytics, or similar platforms
  • Experience with data quality, testing, and documentation best practices
  • Exposure to Python, R, or data processing frameworks (e.g., PySpark) is a plus
  • Experience with BI tools such as Tableau or Looker
  • Strong communication skills and ability to work across technical and business teams

What you can look forward to as an Okta employee!
  • Amazing Benefits
  • Making Social Impact
  • Fostering Diversity, Equity, Inclusion and Belonging at Okta
  • Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.

Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.

#LI-HM2

#LI-Hybrid

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Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.

The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $132,000—$182,000 USD

Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.

The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $118,000—$162,000 USD


The Okta Experience

  • Supporting Your Well-Being
  • Driving Social Impact
  • Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding pleaseuse this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, pleaseclick here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice athttps://www.okta.com/legal/personnel-policy/.