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Senior Analytics Developer Jobs (NOW HIRING)

About the Role We\'re hiring a Senior Analytics Engineer to own the analytics layer that powers data-driven decisions across Nscale\'s GPU procurement and hardware supply chain. In this role, you\'ll ...

As a Senior Analytics Engineer, you will be a key contributor in helping the organization derive more value from its datasets through scalable, modular design of our enterprise data models and ...

The Senior Analytics Engineer, Enterprise Opportunity We are seeking a Senior Analytics Engineer to support the Enterprise by building reliable, well-modeled, and trusted data for reporting, decision ...

Senior Analytics Engineer

$107K - $146K/yr

They are seeking a Senior Analytics Engineer to build the data transformation architecture that enables reliable analytics and positions the organization for future growth. This role involves leading ...

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 ...

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 ...

They are seeking a Senior Analytics Engineer to own analytics for the Machine Infrastructure Supply Chain team, responsible for transforming raw data into trusted models and analytics-ready datasets ...

They are seeking a Senior Analytics Engineer to own analytics for the Machine Infrastructure Supply Chain team, responsible for transforming raw data into trusted models and analytics-ready datasets ...

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 ...

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 ...

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 ...

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 ...

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

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 ...

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Senior Analytics Developer information

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$15

$61

$87

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:
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

Nscale

Seattle, WA

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


Job description

About Nscale

Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.

We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future.

About the Role

We\'re hiring a Senior Analytics Engineer to own the analytics layer that powers data-driven decisions across Nscale\'s GPU procurement and hardware supply chain.

In this role, you\'ll sit within the Supply Chain Analytics & Automation team and build in Palantir Foundry, creating the output datasets, data models, and reporting products that teams use directly. You\'ll work closely with Supply Chain, Finance, Capacity stakeholders, the C-suite, and data engineering, serving as the link between business decision-making and the underlying data required to support it.

This is a senior individual contributor role and the first analytics hire on the team, giving you the opportunity to set standards for quality, documentation, and architectural decision-making from the ground up. Your work will shape how critical supply chain decisions are understood, trusted, and acted on as Nscale continues to scale.

What you\'ll be doing

Own the analytics layer

  • Build output datasets, data models, and reporting products in Palantir Foundry.
  • Design analytical outputs that business stakeholders can use directly.
  • Maintain the reporting layer that supports decision-making across the organization.

Partner across technical and business teams

  • Serve as the primary interface between the analytics team and data engineering.
  • Assess what data exists, what shape it is in, and what needs to be built or changed to answer business questions.
  • Partner with Supply Chain, Finance, and Capacity stakeholders to translate decisions into analytical requirements.
  • Communicate effectively with both technical and non-technical audiences, including senior stakeholders.

Set quality and operating standards

  • Define engineering standards for analytical outputs.
  • Establish documentation standards, including assumption documentation and version control.
  • Implement reconciliation checks to ensure analytical outputs are accurate and trusted.
  • Raise the quality bar for how analytics work is produced and maintained.

Shape the future of the function

  • Make architectural decisions that shape the analytics layer as the team grows.
  • Set expectations for what strong analytical work looks like in a fast-moving environment.
  • Hire and onboard analysts over time, helping define the foundation for future team members.
KPIs
  • Quality and reconciliation accuracy of analytical outputs
  • Delivery of trusted Foundry datasets, models, and reporting products
  • Stakeholder adoption across Supply Chain, Finance, Capacity, and leadership
  • Analytics documentation and standards maturity
About You
  • 5+ years of experience in an analytics engineering or senior analytics role, including work in at least one production environment at meaningful scale
  • Strong experience with SQL, data modelling, and data transformation
  • Palantir Foundry experience strongly preferred, with comparable platform experience also considered
  • Demonstrated ability to build analytical outputs, datasets, models, and reporting layers used by business stakeholders
  • Strong instinct for data quality and a high bar for reconciliation and accuracy
  • Experience working across technical and non-technical stakeholders
  • Ability to write a clear data spec for engineers and a concise summary for C-suite audiences
  • Track record of making strong architectural decisions in fast-moving environments with incomplete requirements
  • Background in supply chain, procurement, hardware, or AI/cloud infrastructure is a meaningful bonus
What we can offer you

At Nscale, you\'ll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We\'re building something extraordinary, and we want you at the core.

Highly competitive US compensation package (base + bonus + equity), with performance reviews every 12 months. 🚀

Join one of the fastest-growing AI infrastructure companies — your chance to directly shape how global AI capacity is planned and deployed. ✨

Expect a dynamic progression plan tailored to your ambitions. Grow by leading critical cross-functional initiatives and shaping capital strategy — always with our full support.

Human-First Flexibility: We treat you as humans first. 🫶🏽 Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life\'s moments.

Equal Opportunities Statement

We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.

If there’s anything we can do to accommodate your specific situation, please let us know.

The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role.

For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.

Salary Range

The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation.

The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation.

Salary Range$100,000—$150,000 USD

For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.