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Senior Data Analyst Jobs in Kansas (NOW HIRING)

NimbleRx

Senior Data Engineer

Toronto, KS · On-site

$175 - $230/hr

As a Senior Data Engineer , you will own Nimble's data platform -- the layer that every other team ... The work scales beyond you: what you build once accelerates product, analytics, ops, and data ...

NinjaOne

Senior Data Engineer

Kansas, KS · On-site +1

$93K - $127K/yr

About the Role At NinjaOne, we're looking for a skilled Senior Data Engineer to join the Analytics Platform and Data Science team to help enable product analytics and data science across NinjaOne ...

Garmin Ltd.

Senior Data Engineer

Olathe, KS · On-site

$100 - $130/hr

Overview We are seeking a full-time Senior Data Engineer at Garmin's U.S. headquarters in the ... analysis to initiatives * Researches new technologies and proposes cost effective solutions and ...

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Berkley

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Berkley

Senior Data Engineer

Overland Park, KS

$103K - $140K/yr

Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to mentor, orchestrate ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Berkley

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Empower

Sr Engineer Data

Overland Park, KS · On-site

$104K - $142K/yr

The Senior Data Engineer will design, build, and maintain scalable data infrastructure and data and ... Collaborate with cross-functional value stream teams, analysts, business stakeholders, architects ...

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All JobsData Analyst JobsSenior Data Analyst JobsSenior Data Analyst Jobs in Kansas

Senior Data Analyst information

See Kansas salary details

$49.1K

$88.5K

$120.8K

How much do senior data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior data analyst in Kansas is $88,499.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,700.00 and $96,800.00 per year, depending on experience, location, and employer.

What is a senior data analyst?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What does a senior data analyst do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What are some common challenges senior data analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

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

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.
More about Senior Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Kansas?

The most popular types of Data Analyst jobs in Kansas are:

What are popular job titles related to Senior Data Analyst jobs in Kansas?

For Senior Data Analyst jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Senior Data Analyst jobs in Kansas look for?

The top searched job categories for Senior Data Analyst jobs in Kansas are:

What cities in Kansas are hiring for Senior Data Analyst jobs?

Cities in Kansas with the most Senior Data Analyst job openings:

Senior Data Analyst jobs near you
Infographic showing various Senior Data Analyst job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $88,499 per year, or $42.5 per hour.

Data Analyst -- Quality Engineering Analytics

Artiminds

Wichita, KS • On-site

Other

Posted 4 days ago

Job description

Role Overview

We are seeking a detail-oriented and analytical Data Analyst to support a Quality Engineering team through advanced data analysis, reporting, and scorecard development. This role works with quality datasets to generate actionable insights, identify trends, and support leadership decision-making through executive dashboards and analytics.

Key Responsibilities

1. Data Collection & Preparation

  • Partner with client stakeholders to gather data from internal systems
  • Validate, cleanse, and preprocess datasets for accuracy, completeness, and consistency
  • Structure datasets for multi-dimensional analysis (time period, program/area, severity level, employee attributes)

2. Data Analysis & Insights

  • Perform detailed analysis across quality metrics and defect data
  • Conduct month-over-month and year-over-year comparisons to surface patterns and deviations
  • Generate weekly and monthly trend insights

3. Trend Analysis & Reporting

  • Build analytical models and recurring reports
  • Run comparative analysis across time periods (monthly, quarterly, annual) and organizational segments (business units, functions, tenure groups)

4. Benchmarking & Standardization

  • Align reporting and scorecard formats to enterprise or site-level frameworks (e.g., BCA or equivalent)
  • Standardize KPIs, metric definitions, and reporting templates so they scale across multiple locations

5. Visualization & Deliverables

  • Develop executive-level dashboards using Excel, Power BI, Tableau, or PowerPoint
  • Deliver trend charts, heatmaps and distribution analyses, and leadership-ready insight summaries

6. Continuous Improvement

  • Incorporate stakeholder feedback to refine analysis, dashboards, and outputs
  • Expand analytics scope with new metrics, dimensions, or predictive insights

Required Qualifications

  • Bachelor's degree in Data Analytics, Statistics, Engineering, or a related field
  • 3–7 years in data analysis, reporting, or analytics
  • Advanced Excel and SQL; Python or R preferred
  • Power BI and/or Tableau
  • Hands-on experience with large datasets, data cleansing, and trend analysis

Preferred Qualifications

  • Manufacturing or aerospace domain analytics
  • Scorecard / KPI framework development
  • Comfort with both structured and unstructured data sources

Key Skills

  • Strong analytical and problem-solving ability
  • Data storytelling and executive communication
  • Attention to detail and data accuracy
  • Stakeholder management and collaboration
  • Continuous improvement mindset


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