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Senior Analytics Developer Jobs (NOW HIRING)

PSECU

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 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 ...

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 ...

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 ...

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 ...

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Senior Analytics Developer information

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How much do senior analytics developer jobs pay per hour?

As of Jun 25, 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 jobs make $1,000,000 a year?

Senior Analytics Developers typically do not earn $1,000,000 annually; such high salaries are rare and usually found in executive roles, successful entrepreneurs, or highly specialized fields like investment banking, hedge fund management, or tech company founders. In some cases, top-tier executives or business owners can reach or exceed this income level through equity, bonuses, or profit sharing. Most professionals in analytics roles earn significantly less, with high earners often combining multiple income sources or holding leadership positions with substantial compensation packages.

What is the highest paying job in data analytics?

In data analytics, senior roles such as Data Science Director, Chief Data Officer, or Lead Data Scientist tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in machine learning, statistical analysis, and experience with tools like Python, R, or SQL, along with leadership responsibilities.

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 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.

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.

Is 40 too late for data science?

Age is not a barrier to becoming a senior analytics developer or entering data science. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience, continuous learning, and practical skills are more important than age in this field.

What jobs pay 200,000 a year in the USA?

Senior Analytics Developers with extensive experience, advanced skills in data modeling, programming languages like Python or SQL, and certifications such as Certified Analytics Professional can reach or exceed a $200,000 annual salary. High-paying roles often require leadership responsibilities, working with large datasets, and proficiency in analytics tools like Tableau or Power BI.

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.
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 June 2026, with employment types broken down into 48% Full Time, 42% Part Time, 5% Temporary, and 5% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $128,400 per year, or $61.7 per hour.
Senior Analytics Engineer

Senior Analytics Engineer

PSECU

Harrisburg, PA • On-site

$103K - $141K/yr

Full-time

Posted 23 days ago

Job description

Members Achieve More isn't just a tagline for us, it's part of everything we do! We're looking for passionate individuals to join our team to help us maintain that focus every day. Want to work somewhere that's remained strong for 90 years, that encourages you to learn, grow, and pursue your dreams? If yes, then read on...
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 data transformation and modeling with a collaborative leadership style. This role is about building the data architecture we truly need, focused on outcomes, not trends. You'll lead the design of a unified, cloud-based data environment centered on dbt and modern analytics engineering practices, enabling reliable transformation logic and data modeling that supports analytics, governance, and operational decision-making across the organization. Your work will shape how data is modeled, tested, and shared to enable a modern and scalable data ecosystem.
Schedule: Monday - Friday 8:00am - 4:00pm. Location: Remote, applicants must reside in PA to be considered for this role
In this position, you will
POSITION SPECIFIC ESSENTIAL DUTIES
  • Own the design and roadmap of our data transformation layer and modeling standards, building a modern, analytics-ready data warehouse that elevates our analyst's work and positions us for what's next.
  • Lead the implementation of DBT as the core transformation layer in our modern data stack and the broader modern data stack, embedding strong modeling and documentation practices across teams
  • Partner with analytics engineers, analysts, and business leaders to translate requirements into reliable, well-structured data solutions models and transformation pipeline.
  • Define and uphold architectural standards, governance frameworks, and documentation practices that promote trust in data. discoverability, and collaboration across the analytics organization
  • Guide the modernization of our Microsoft-based data environment (including Fabric, SQL Server, Synapse, and Power BI), integrating modern technologies where they clearly add value.
  • Provide architectural direction and mentorship, fostering clarity, collaboration, and professional growth across the team, helping analytics engineers and analysts level up their modeling and transformation skills.
  • Other duties as assigned.

Experience/Education:
Required:
Bachelor's degree in a technical field, such as computer science, information systems, engineering, or related discipline
  • 8+ years of experience in data modeling, data architecture, or closely related work
  • Strong experience in data modeling and analytics engineering or data warehousing.
  • Deep hands-on expertise with dbt and modern data stack tools (e.g., Snowflake, AWS, Fivetran, Airbyte, or similar).
  • Highly proficient in building, testing, and maintain transformation logic in dbt.
  • Proven experience designing data models and transformation pipelines in regulated environments
  • Ability to translate business needs into clear architectural patterns
  • Strong communication and collaboration skills with comfort working with senior leaders
  • Ability to guide and mentor analytics engineers and analysts
  • Strong grounding in data governance, lineage, and quality practices

Preferred:
  • Experience in financial services, preferably credit unions, and an understanding of the regulatory and operational context in which they operate.
  • Experience leading or contributing to data and cloud migration projects.
  • Exposure to Azure or hybrid cloud data environments.
  • Familiarity with metadata management tools and data catalogs.

Qualifications:
Bachelors, Bachelors: Computer and Information Science, Bachelors: Information Technology, Bachelors (Required)
Any equivalent combination of experience and education. | Required

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