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Senior Analytics Engineer Jobs (NOW HIRING)

Axogen

Sr. Analytics Engineer

Tampa, FL

$98K - $135K/yr

Job Summary of the Sr. Analytics Engineer The Sr. Analytics Engineer will report to the Sr. Manager, Business Analytics and serve as the technical owner of Axogen's enterprise semantic models, KPI ...

Axogen

Sr. Analytics Engineer

Tampa, FL · On-site

$98K - $135K/yr

Job Summary of the Sr. Analytics Engineer The Sr. Analytics Engineer will report to the Sr. Manager, Business Analytics and serve as the technical owner of Axogen's enterprise semantic models, KPI ...

Axogen

Sr. Analytics Engineer

Tampa, FL · On-site

$98K - $135K/yr

Job Summary of the Sr. Analytics Engineer The Sr. Analytics Engineer will report to the Sr. Manager, Business Analytics and serve as the technical owner of Axogen's enterprise semantic models, KPI ...

Seismic

Senior Analytics Engineer

Overview We're looking for a Senior Analytics Engineer to join Seismic's Corporate Data & Analytics team and own our finance data domain. In this role, you'll partner with our Finance team to model ...

Judge Group, Inc.

Senior Analytics Engineer

Chandler, AZ · On-site

$78 - $90/hr

Our client is currently seeking a Senior Analytics Engineer Senior Analytics Engineer Remote CTH A Senior Analytics Engineer who is: Strong in Snowflake Strong in Power BI Strong in Cube Experienced ...

Pelago

Sr. Analytics Engineer

New York, NY · On-site

The Senior Analytics Engineer is a key force multiplier on that mission. Overview of the Role: We're looking for a Senior Analytics Engineer who brings deep technical craft and the strategic ...

Alloy

Senior Analytics Engineer

New York, NY · Hybrid

What you'll be doing As a Senior Analytics Engineer, you will be a technical anchor for how Alloy models, governs, and exposes data. You'll work closely with Data Science, Product, Engineering, and ...

Alloy

Senior Analytics Engineer

New York, NY · On-site

What you'll be doing As a Senior Analytics Engineer, you will be a technical anchor for how Alloy models, governs, and exposes data. You'll work closely with Data Science, Product, Engineering, and ...

Varos

Senior Analytics Engineer

Varos Research is a fast-growing startup seeking a Senior Analytics Engineer to build product features and conduct analyses on a vast dataset. The role involves extensive work with SQL, DBT, and ...

Trove Brands

Senior Analytics Engineer

Lehi, UT

We are seeking a Senior Analytics Engineer to play a key role in advancing Trove Brands' analytics and data strategy. This individual will help drive data governance, data quality, and scalable ...

New

Pelago

Sr. Analytics Engineer

New York, NY · On-site

The Senior Analytics Engineer is a key force multiplier on that mission. Overview of the Role: We're looking for a Senior Analytics Engineer who brings deep technical craft and the strategic ...

Plaid Inc

Senior Analytics Engineer

San Francisco, CA · On-site

$157K - $214K/yr

As a Senior Analytics Engineer, you'll also act as an applied data science partner. In addition to core analytics engineering, you'll work on predictive modeling, experimentation, lifetime value (LTV ...

Fora

Senior Analytics Engineer

New York, NY · On-site

$130 - $185K/hr

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 ...

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA · On-site

$119K - $188K/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 ...

Rockstar Games

Senior Analytics Engineer

Andover, MA · On-site

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 ...

Feastables

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 ...

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 ...

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 ...

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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 Aug 6, 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.

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.
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 July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Sr. Analytics Engineer

Axogen

Tampa, FL

$98K - $135K/yr

Full-time

Posted 11 days ago

Job description

Axogen is committed to building and maintaining a strong and gratifying company culture that fosters professional growth. Our hands-on and personal approach makes transitioning to a new job a seamless and enjoyable process. Most benefits are effective on day one!

Axogen is an equal opportunity employer and does not discriminate against applicants on the basis of race, color, creed, religion, ancestry, age, sex, marital status, national origin, disability or veteran status.

Why you'll love working at Axogen:

  • Friendly, open, and fun team culture that values unique perspectives
  • Company-wide dedication to profoundly impacting patients' lives
  • Comprehensive, high-quality benefits package effective on date of hire
  • Educational assistance available for all employees
  • Matching 401(k) retirement plan
  • Paid holidays, including floating holidays, to be used at your discretion
  • Employee Stock Purchase Plan
  • Referral incentive program

Axogen Mission and Business Purpose

Our business purpose is to restore health and improve quality of life by making restoration of peripheral nerve function an expected standard of care. We aim to lead the markets we serve by always requiring the solutions we offer patients and caregivers provide an improved benefit-to-risk profile as compared to existing standards of care. To ensure we deliver improved benefit-to-risk solutions, we will guide and expect the market and design requirement specifications underlying our engineering, business development, and clinical research activities, objectively target advancements in standards of care.

Job Summary of the Sr. Analytics Engineer

The Sr. Analytics Engineer will report to the Sr. Manager, Business Analytics and serve as the technical owner of Axogen's enterprise semantic models, KPI framework, and BI architecture supporting Commercial, Finance, Operations, and Executive reporting.

This role partners with Business Analysts, Finance Business Partners, Commercial Operations, FP&A, and IT to ensure consistent metric definitions, scalable reporting, and high-quality decision support. The ideal candidate has deep expertise in dimensional modeling, DAX, semantic layer design, performance optimization, Power BI, and Microsoft Fabric best practices.

Requirements of the Sr. Analytics Engineer

  • Bachelor's degree in Information Systems, Computer Science, Business Analytics, Finance, Engineering, or a related field.
  • Minimum 5 years of experience in Business Intelligence, Analytics Engineering, Data Modeling, or a related role.
  • Advanced experience developing enterprise Power BI solutions, including semantic models, reports, dashboards, and
  • governed datasets.
  • Expert-level DAX development experience and strong understanding of calculation logic, reusable measures, and KPI frameworks.
  • Strong understanding of dimensional modeling, data warehousing, and semantic layer design.
  • Strong SQL skills and working knowledge of relational database structures.
  • Experience working with Finance, Commercial Analytics, Sales Operations, or Business Intelligence functions.
  • Excellent communication, stakeholder management, documentation, and problem-solving skills.
  • Ability to manage multiple projects and priorities in a fast-paced environment.

Preferred Qualifications

  • Experience with Microsoft Fabric, Power BI Premium, or enterprise Power BI deployment models.
  • Experience with Tabular Editor, calculation groups, model scripting, or related tabular model development tools.
  • Experience with Azure DevOps, Git, PBIP, CI/CD, and deployment pipelines.
  • Experience designing enterprise semantic models and KPI governance frameworks.
  • Familiarity with Databricks, Azure SQL, cloud data platforms, and modern data-warehouse architectures.
  • Experience supporting executive reporting, FP&A, Commercial Analytics, Sales Operations, or Operations reporting.
  • Relevant medical device or biopharma experience a plus.

Responsibilities of the Sr. Analytics Engineer

The specific duties of the Sr. Analytics Engineer include but are not limited to:

Semantic Model Ownership

  • Own and maintain enterprise Power BI semantic models supporting Commercial, Finance, Operations, and Executive
  • reporting.
  • Design and manage model architecture including fact tables, dimensions, hierarchies, relationships, perspectives,
  • metadata, and security.
  • Establish semantic model standards, naming conventions, and governance practices.
  • Define and document KPI calculations, business rules, and reporting definitions.

DAX Development & KPI Governance

  • Develop and maintain advanced DAX measures, calculation groups, and reusable business logic.
  • Partner with business stakeholders to translate requirements into governed metric definitions.
  • Ensure KPI consistency across Power BI reports, dashboards, and self-service analytics.
  • Support complex financial, sales, territory, commission, pricing, and operational reporting requirements.

Performance Optimization

  • Optimize semantic models for scalability, refresh performance, query speed, and usability.
  • Identify opportunities to reduce model complexity, improve maintainability, and eliminate duplicate logic.
  • Troubleshoot performance bottlenecks and implement best practices in model design.
  • Support migration of BI assets to Microsoft Fabric/Databricks and enterprise semantic model architecture.

BI Development & Reporting

  • Build and enhance enterprise Power BI datasets, reports, and dashboards.
  • Support thin-report architecture and self-service analytics initiatives.
  • Collaborate with Business Analysts and Finance Business Partners on reporting solutions.
  • Assist in development of executive, commercial, operational, and financial reporting.

Governance & Deployment

  • Support BI governance, change management, documentation, and release-management processes.
  • Manage semantic model version control, testing practices, deployment pipelines, and production release standards.
  • Utilize Git, Azure DevOps, PBIP, Tabular Editor, and Fabric development frameworks, as applicable.
  • Maintain technical documentation, model inventories, and change logs.
  • Implement Row-Level Security (RLS), security modeling, data governance controls, and change-management processes.

Location

111 West Oak Ave., Tampa, FL 33602

#LI-AC1

Benefits/Compensation

This position is eligible for an annual bonus.

Benefits offered for this position include Health, Dental, Vision, Matching 401K, Paid Time Off, 9 Paid Holidays + 3 Floating Holidays, Dependent Care Flexible Spending Accounts, Medical Flexible Spending Accounts, Tuition Reimbursement, Paid Parental Leave, Paid Caregiver Leave, Basic Life Insurance, Supplemental Life Insurance, Employee Stock Purchase Plan, and Disability Insurance, as described in more detail in summary plan descriptions.

Salary Range
$103,548—$129,435 USD

Company Statements

Axogen follows healthcare system guidelines with respect to credentialing, vaccinations and other employment/compliance related requirements, as well as CDC guidance. Axogen reserves the right to amend its policies from time to time in its sole discretion.

As AI is becoming a common tool throughout the application process, we want to be clear about its appropriate use at Axogen. Using AI to support resume writing, research or interview preparation is perfectly acceptable, provided the content is accurate and genuinely represents your qualifications and skills. For other key parts of your interview process, however, it is important that the ideas, communication, and work you share reflect your own voice, experiences, and thinking. We ask that you participate in our live interviews and complete any assessments without AI assistance unless instructions explicitly indicate otherwise or a specific exception is discussed and approved in advance. This approach ensures fairness, celebrates your individuality, and allows your authentic perspective to shine. Behaviors that do not align with these guidelines may result in disqualification from the hiring process or termination of employment if later discovered. We appreciate your understanding and look forward to learning about the unique contributions only you can bring to Axogen.

No agency solicitation. We kindly request that recruiting agencies, staffing firms, and third‑party vendors do not contact us regarding this posting. Unsolicited résumés will not be considered.