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Senior Analytics Developer Jobs (NOW HIRING)

Jefferson Center

Senior Analytics Engineer

Wheat Ridge, CO · On-site

$94K - $116K/hr

The Senior Analytics Engineer bridges data engineering, business intelligence, advanced analytics, and emerging AI capabilities. This role designs and develops trusted data products, enables self ...

Robert Half

Senior Analytics Engineer

Fort Worth, TX · On-site

$115K - $125K/yr

We are looking for a Senior Analytics Engineer to lead and advance the organization's data and analytics ecosystem in Fort Worth, Texas. This role will serve as the central technical expert for ...

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 ...

Trove Brands

Senior Analytics Engineer

Lehi, UT · On-site

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 ...

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 ...

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 ...

IPL (Indiana)

Senior Engineer, Analytics

Dayton, OH · On-site

AES Clean Energy (CE) is seeking a Senior Analytics Engineer to support the Operations and Maintenance (O&M) Engineering team in building the data analytics architecture to support the future growth ...

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 ...

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 ...

IPL (Indiana)

Senior Engineer, Analytics

Louisville, CO · On-site

AES Clean Energy (CE) is seeking a Senior Analytics Engineer to support the Operations and Maintenance (O&M) Engineering team in building the data analytics architecture to support the future growth ...

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA

$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 ...

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Senior Analytics Developer information

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How much do senior analytics developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for senior analytics developer in the United States is $61.73, according to ZipRecruiter salary data. Most workers in this role earn between $52.40 and $69.23 per hour, depending on experience, location, and employer.

What is a senior analytics developer?

A Senior Analytics Developer is a professional who designs, builds, and maintains complex data analytics solutions to help organizations make data-driven decisions. They are responsible for developing advanced data models, creating dashboards and reports, and ensuring data quality and accuracy. Typically, they work with large datasets, use programming languages like SQL or Python, and collaborate closely with data scientists, business analysts, and other stakeholders. Senior Analytics Developers also mentor junior team members and help set best practices for analytics projects. Their work is crucial in providing actionable insights that drive business strategy.

How does a senior analytics developer typically collaborate with other teams during a data project?

Senior Analytics Developers frequently collaborate with cross-functional teams such as data engineers, business analysts, and product managers. They work closely with data engineers to ensure data pipelines are robust and with business stakeholders to translate complex analytics findings into actionable insights. Regular meetings and agile ceremonies are common to align on project goals, troubleshoot challenges, and refine deliverables. This collaborative environment ensures analytics solutions are both technically sound and aligned with business priorities.

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

To thrive as a Senior Analytics Developer, you need expertise in data analysis, programming (such as Python or SQL), and a strong understanding of statistical methodologies, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with advanced analytics platforms (like Tableau or Power BI), big data tools (such as Hadoop or Spark), and relevant certifications (e.g., Microsoft Certified Data Analyst) is often required. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate complex data insights into actionable business solutions. These skills and qualifications are crucial for delivering high-impact analytics projects that drive decision-making and business growth.

What is the difference between Senior Analytics Developer vs Data Analyst?

AspectSenior Analytics DeveloperData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; often certifications in SQL, Python, or TableauBachelor's degree in Statistics, Mathematics, or related field; certifications in Excel, SQL, or data visualization tools
Work EnvironmentDevelops complex analytics solutions, works with data engineering teams, and builds dashboardsAnalyzes data sets, prepares reports, and visualizes data for business insights
Employer & Industry UsageUsed in tech, finance, and consulting firms for advanced analytics projectsCommon across various industries for business reporting and decision-making

In summary, a Senior Analytics Developer focuses on creating advanced analytics solutions and dashboards, often requiring programming skills and technical expertise. A Data Analyst primarily interprets data, prepares reports, and visualizes insights for business teams. While both roles work with data, the Senior Analytics Developer typically handles more complex technical tasks.

What cities are hiring for Senior Analytics Developer jobs?

Cities with the most Senior Analytics Developer job openings:

What are the most commonly searched types of Analytics Developer jobs?

The most popular types of Analytics Developer jobs are:

What states have the most Senior Analytics Developer jobs?

States with the most job openings for Senior Analytics Developer jobs include:

Senior Analytics Developer jobs near you
Infographic showing various Senior Analytics Developer job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $128,400 per year, or $61.7 per hour.

Senior Analytics Engineer

Jefferson Center for Mental Health

Wheat Ridge, CO • On-site

$94K - $116K/yr

Full-time

Posted 18 days ago

Job description

At Jefferson Center, it is our policy and our mission to be inclusive and mindful of the diversity of everyone who comes through our doors. We are passionate about building a community where mental health matters and equitable care is accessible to all races, ethnicities, abilities, socioeconomic statuses, ages, sexual orientations, gender expressions, religions, cultures, and languages.

The Senior Analytics Engineer bridges data engineering, business intelligence, advanced analytics, and emerging AI capabilities. This role designs and develops trusted data products, enables self-service reporting, prepares data for predictive modeling and AI-applications, and partners with stakeholders to turn healthcare data into actionable insights. Applicants must be legally authorized to work in the United States. This position is not eligible for employer-sponsored work authorization now or in the future.

Essential Duties:

Analytics Engineering & Data Architecture

  • Design, develop, and maintain analytics-ready dimensional models (star schemas, semantic layers) and curated data marts.
  • Translate business requirements into scalable, performant data structures that promote consistency across analytics solutions.
  • Establish standards and best practices for data modeling, metric definitions, performance tuning, and data governance.

Advanced Analytics & AI Enablement

  • Curate feature tables and datasets for predictive modeling, time-series forecasting, risk scoring, and population health analysis.
  • Prepare and optimize data pipelines and semantic layers for AI-driven experiences, Microsoft Fabric Copilots, and RAG/knowledge retrieval tools.
  • Integrate automated ML and forecasting outputs into enterprise data structures for downstream reporting.

Self-Service Analytics

  • Build user-friendly semantic models to support self-service analytics across Power BI, Microsoft Fabric, and modern cloud platforms.
  • Educate and coach business users on report consumption, governance standards, and analytical tools.

Business Partnership & Technical Leadership

  • Collaborate with clinical and operational leadership to identify high-value analytics opportunities and translate complex findings into business recommendations.
  • Serve as a technical SME for analytics engineering, evaluating emerging cloud and AI technologies to elevate team maturity.

Qualifications & Experience:

Education

Bachelor's degree or higher in Analytics, Computer Science, Information Systems, or related quantitative field (or equivalent practical experience).

Work Experience

  • 5+ years in Analytics Engineering, Data Engineering, or Senior BI/Data Modeling roles.
  • 3+ years in healthcare analytics. Experience with behavioral health, Medicaid, claims, or value-based care preferred.

Core Technical Skills

  • Expert-level SQL, Python, R.
  • Dimensional modeling (Kimball), star schemas, enterprise data warehouse architecture, semantic models.
  • Experience with Azure Data Factory, Microsoft Fabric, dbt, Snowflake, Databricks, AzureML, REST APIs
  • Time-series forecasting, trend analysis, exposure to Automated ML (AutoML), and predictive feature store construction.
  • Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude) for code generation, documentation, and pipeline optimization.

Note: Staff are held accountable for all duties of this job. This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job.

Salary Range: $94,100 to $116,700*

*Jefferson Center pay is based on various factors including education level, licensure level, and years of relative experience.

*The salary listed above is based on 1.0 FTE (40 hours per week). 

Application Deadline: This position will remain posted until filled. We encourage applicants to apply by 9/10/2026 for priority consideration.