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Senior Analytics Engineer Jobs in Kansas (NOW HIRING)

Stripe

$132K/yr

Be the expert on our data analytics buyers - understand how data analysts, analytics engineers, and ... senior leadership to project teams. * High comfort toggling between strategy and execution - big ...

Elevance Health

Senior Data Engineer

Overland Park, KS · Hybrid

$104K - $142K/yr

Senior Data Engineer Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 ... Perform capacity analysis; recommend and implement capacity increases for data platform performance ...

Vantage MedTech

Senior Mechanical Engineer

Olathe, KS · On-site

$90 - $120/hr

Vantage MedTech is seeking a Senior Mechanical Engineer to join our team. This position will be ... Apply critical thinking and analytical skills to determine mechanical specifications for the ...

PROENERGY

Senior Electrical Engineer

Leawood, KS · On-site

$104K - $136K/yr

Senior Electrical Engineer About PROENERGY PROENERGY is an engineering, R amp;D, and manufacturing ... Perform or review routine and complex engineering, design, analysis, and other technical tasks ...

Garver

Traffic Analysis Engineer

Overland Park, KS · On-site

$82K - $112K/yr

Garver is seeking a highly-motivated Traffic Analysis Engineer in our Overland Park, KS office to ... This position will be supervised by a Senior Project Manager and offers outstanding growth ...

Garver

Traffic Analysis Engineer

Overland Park, KS · On-site

$86K - $117K/yr

Garver is seeking a highly-motivated Traffic Analysis Engineer in our Overland Park, KS office to ... This position will be supervised by a Senior Project Manager and offers outstanding growth ...

Elevance Health

Senior Data Engineer

Leawood, KS · Hybrid

$103K - $140K/yr

Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 - 2days per week ... Perform capacity analysis; recommend and implement capacity increases for data platform performance ...

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All JobsAnalytics Engineer JobsSenior Analytics Engineer JobsSenior Analytics Engineer Jobs in Kansas

Senior Analytics Engineer information

See Kansas salary details

$53.1K

$112.9K

$163.7K

How much do senior analytics engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior analytics engineer in Kansas is $112,870.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $128,000.00 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.
What are the most commonly searched types of Analytics Engineer jobs in Kansas? The most popular types of Analytics Engineer jobs in Kansas are:
What are popular job titles related to Senior Analytics Engineer jobs in Kansas? For Senior Analytics Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Senior Analytics Engineer jobs in Kansas look for? The top searched job categories for Senior Analytics Engineer jobs in Kansas are:
What cities in Kansas are hiring for Senior Analytics Engineer jobs? Cities in Kansas with the most Senior Analytics Engineer job openings:
Senior Analytics Engineer jobs near you
Infographic showing various Senior Analytics Engineer job openings in Kansas as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $112,870 per year, or $54.3 per hour.

Product Marketing, Data Products

Stripe

$132K/yr

Full-time

Re-posted 11 days ago

Job description

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

Our Product Marketing team's mission is to generate customer insights that inform Stripe's product strategy, and lead go-to-market for our suite of products. Product Marketing is a highly cross-functional role at Stripe, partnering closely with Product and Engineering, Sales, Partnerships, Demand Generation and Campaigns to name a few. Different from many other Product Marketing teams, our team works across the entire product lifecycle, from helping shape the product, to driving launch and commercialization, to growing product adoption post-launch.

We are looking to hire a Product Marketing Manager to own go-to-market strategy and drive adoption for Stripe's data products - including Sigma, Data Pipeline, Database, and new products we're incubating. As monetization grows more complex - from AI companies hyperscaling globally to enterprises integrating Stripe deeply into their operations - data has become a critical lever that helps businesses make better decisions.

What you'll do

As a key owner of our GTM strategy for Stripe's data products, you'll need to quickly build a deep understanding of our products, the data analytics buyer, and our competitive differentiation. You will:

  • Be the expert on our data analytics buyers - understand how data analysts, analytics engineers, and BI practitioners evaluate and adopt tools, and translate those insights into product roadmap recommendations and GTM strategy.
  • Own positioning and messaging for Stripe's data products, building a clear and differentiated point of view in a competitive market.
  • Drive end-to-end go-to-market for data product launches - from defining the narrative and target audience to developing the assets and programs that drive adoption across sold and self-serve motions.
  • Partner with demand generation and campaigns to design and execute programs that reach the data analytics buyer and accelerate product adoption at scale.
  • Build sales enablement - develop the messaging frameworks, competitive battlecards, and assets that help sales teams clearly articulate the value of Stripe's data products.
  • Own competitive intelligence for the analytics and BI landscape, tracking competitors and turning that intelligence into differentiated positioning and sales tools.
  • Define program KPIs and maintain accountability to measurable business outcomes across the data products portfolio.
Minimum requirements
  • 10+ years of product marketing experience, preferably in B2B tech.
  • A builder mentality with a strong bias to action. Comfortable with ambiguity, able to experiment and adapt at pace.
  • Excellent communication and presentation abilities, with a proven track record of distilling complex technical concepts into compelling narratives for executive and external audiences.
  • Exceptional cross-functional leadership and ability to influence across all levels and functions, from senior leadership to project teams.
  • High comfort toggling between strategy and execution - big picture to fine detail.
  • Proven ability to translate customer and market insights into differentiated positioning and measurable GTM programs.
Preferred qualifications
  • Deep familiarity with the data analytics ecosystem - BI tools, cloud data warehouses, and analytics workflows - and a proven ability to market to the data analyst or analytics engineer buyer.
  • Experience marketing to technical audiences such as data engineers, analytics engineers, or developers.
  • Power user (and builder) of AI-powered tooling.

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