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Senior Data Analyst Jobs in Kansas (NOW HIRING)

MMGY Global

Senior Data Analyst

Overland Park, KS

$85K - $107K/yr

We have an immediate opening for a Senior Data Analyst in our Overland Park, KS office. As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ...

MMGY Global

Senior Data Analyst

Overland Park, KS

$85K - $107K/yr

We have an immediate opening for a Senior Data Analyst in our Overland Park, KS office. As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ...

MMGY Global

Senior Data Analyst

Overland Park, KS

$85K - $107K/yr

We have an immediate opening for a Senior Data Analyst in our Overland Park, KS office. As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ...

MMGY Global

Senior Data Analyst

Overland Park, KS

$85K - $107K/yr

We have an immediate opening for a Senior Data Analyst in our Overland Park, KS office. As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ...

hcmportal

Senior Data Governance Analyst

Leawood, KS · On-site +1

We're Looking for an experienced Senior Data Governance Analyst -- Unstructured Data & AI Readiness! About the Company: Security Benefit is a leader in the U.S. retirement market with more than $60 ...

Nordic

Key Responsibilities The Senior Data Scientist applies strong expertise in machine learning, data ... Leads analytic approaches to integrate machine learning output into applications and tools with ...

Security Benefit

Senior Data Architect

Topeka, KS · On-site

$63.25 - $84.75/hr

... analytics, and operational intelligence. The Senior Data Architect works independently, defines ... technical standards for data architecture within assigned areas, and is the domain authority for ...

hcmportal

Senior Data Architect

Topeka, KS · On-site +1

$63.25 - $84.75/hr

... analytics, and operational intelligence. The Senior Data Architect works independently, defines ... technical standards for data architecture within assigned areas, and is the domain authority for ...

WellSky

Data Analyst

Overland Park, KS · Remote

$2.5K/yr

The Data Analyst for Value-Based Insights (VBI) is responsible for transforming Medicare (CMS) claims data into metrics, benchmarks, and measures that power WellSky's VBI product for Home Health and ...

WellSky

Data Analyst

Overland Park, KS · On-site

The Data Analyst for Value-Based Insights (VBI) is responsible for transforming Medicare (CMS) claims data into metrics, benchmarks, and measures that power WellSky's VBI product for Home Health and ...

AEG

Data Analyst

Kansas City, KS · On-site

Provide data and analytical support across the Club to enhance data understanding, adoption and application. * Work closely with key soccer stakeholders to translate data into performance strategies.

University of Chicago Library

Senior Data Architect

Harper, KS · On-site

$63.75 - $85.50/hr

This role serves as the enterprise authority for data architecture, data management, analytics ... The Senior Data Architect provides technical and strategic leadership in the design, implementation ...

Sporting Kansas City

Data Analyst

Kansas City, KS · On-site

Provide data and analytical support across the Club to enhance data understanding, adoption and application. * Work closely with key soccer stakeholders to translate data into performance strategies.

Ascend Learning

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

WHAT YOU'LL DO The Senior Data and AI Scientist leads strategic data science and AI initiatives ... This role designs and implements advanced analytical and AI/LLM-based solutions - including ...

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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 2, 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.
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For Senior Data Analyst jobs in Kansas, the most frequently searched job titles are:

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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.

Senior Data Analyst

MMGY Global

Overland Park, KS

$85K - $107K/yr

Full-time

PTO

Re-posted 25 days ago

Job description

Description
At MMGY Global, we believe nothing shapes your view of the world like travel. So every day, we share our clients' stories from a perspective that inspires people to see the world differently. Our personalized service and strategy connect media, consumers and influencers across the globe, taking people to new places and changing their views for the better. At MMGY, we inspire people to go places.
We have an immediate opening for a Senior Data Analyst in our Overland Park, KS office.
As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media, measurement, and data analytics experience to serve as a senior individual contributor on MMGY's Data Strategy team, reporting to the SVP of Data. This role is responsible for translating available data resources into actionable insights and strategic recommendations for internal teams and external clients, and for supporting MMGY Media via performance analytics for select clients. The ideal candidate operates with the autonomy, client presence, and strategic judgment - owning workstreams end to end and representing Data Strategy in client-facing setting.
Duties & Responsibilities
Data Strategy & Audience Intelligence
  • Collaborate with MMGY Account, Media, Social, Paid Search, Creative, and MarTech teams to understand available client data sources, tools, and partnerships with the goal of translating data into value for the MMGY media client base.
  • Support and independently execute audience segmentation and modeling projects in partnership with Account Management and Integrated Planning leaders, including data analysis, insights creation, and client presentations.
  • Execute strategies related to MMGY audience products, including TRiPs and Terminal (MMGY's audience modeling and persona creation process) audiences, from analysis through activation.
  • Conduct Share of Wallet competitive analysis for MMGY media and data strategy clients, capturing client organizational goals, securing data to conduct analysis, and communicating results with go-forward strategy recommendations.
  • Conduct seasonal market and audience analysis and deliver recommendations to the MMGY Media team in line with seasonal planning efforts.
  • Support offline performance matchback reporting in partnership with consumer database providers.
  • Partner with MMGY Travel Intelligence to refine Terminal, TRiPs, and other data strategy products, and research the latest technology and travel insight trends to maintain their USP and relevance.
  • Be proactive in discovering new ways to highlight the value and communicate the specifics of MMGY Data Strategy products.
  • Collaborate with MMGY's audience activation partners and sellers, driving revenue through MMGY audience usage within and outside the walls of MMGY media activation; track and report audience sale revenue in partnership with MMGY Finance team

Database Management and Data Collection
  • Analyze results, visualize performance, and identify trends that provide actionable insights based on available data, connecting media delivery data to client business outcomes.
  • Operationalize existing data strategy processes via standardization and automation - building repeatable, scalable workflows (SQL, BigQuery, scripting) that reduce manual effort and improve turnaround.
  • Create well-organized, client-ready analysis presentations that lead with insight and recommendation rather than data description.
  • Leadership & Collaboration
  • Provide thought leadership in internal meetings, delivering specific, influential recommendations supported by data and analysis.
  • Serve as a primary representative for Data Strategy in meetings, both internal and with clients, including onboarding, client visits, and key reporting periods for the assigned portfolio.
  • Build relationships and trust with key client stakeholders, operating as a strategic partner rather than a report producer.
  • Provide informal training, direction, and guidance to analysts across the broader analytics organization; contribute to best-practice documentation and knowledge sharing.
  • Hold self accountable to all client and internal deadlines, proactively flagging risks and managing expectations with minimal oversight.

Required Skills and Experience
  • Bachelor's degree in marketing, business, or related technical field is required.
  • 5+ years of relevant professional experience in data analytics, audience modeling. performance tracking and analysis, and cross-channel program measurement, ideally within a media or marketing agency environment.
  • Strong working knowledge of web analytics and ad serving tools (Google Analytics 4, Adobe Analytics, Google Campaign Manager 360).
  • Strong working knowledge of SQL and cloud data warehouse environments (BigQuery preferred), with the ability to independently query, join, and QA large multi-platform datasets.
  • Strong working knowledge and experience using data visualization software (Tableau, Power BI, Looker Studio) for client dashboard reporting, plus proficiency in Microsoft Excel.
  • Demonstrated ability to own projects end to end: scoping, analysis, insight development, and client presentation.
  • Attention to detail and the ability to work in a team and collaborate with and influence others, including senior internal stakeholders and clients.
  • Proactive, self-motivated, deals well with ambiguity, strong time management, and excellent written and oral communication skills, including presentation delivery to client audiences.

Preferred Skills and Experience
  • Experience with audience data, segmentation, and consumer databases (e.g., Epsilon, Experian, MRI-Simmons) and applying them to media planning and activation.
  • Experience automating reporting and data workflows using scripting (Python, Google Apps Script) or workflow tools.
  • Experience in travel, tourism, hospitality, or destination marketing, or a demonstrated interest in the category.
  • Familiarity with media mix concepts, incrementality, and matchback measurement approaches.
  • Experience mentoring or training junior analysts, even without formal management responsibility.
  • Experience with campaign and website tagging and tracking systems (Google Tag Manager, Floodlight, tag auditing and troubleshooting).

MMGY Global provides a comprehensive PTO + benefits package that includes a hybrid telework policy. Applicants for employment in the U.S. must possess work authorization, which does not require sponsorship by the employer for a visa. MMGY Global is an Equal Opportunity Employer.
Who Are We? We're a travel-obsessed collective of more than 600 people across the country and around the globe. And when we say we inspire people to go places, we mean ALL people. That's why we're focused on nurturing a workforce that is representative of the places we visit.

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