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Remote Data Analyst Jobs in Kansas (NOW HIRING)

Senior Data Analyst

Overland Park, KS · On-site +1

$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 ...

Scopely is looking for a Data Analyst to join our Marvel Strike Force remotely in the United States or Canada on a remote basis At Scopely, we care deeply about what we do and want to inspire play ...

Remote, US Based, East Coast Working Hours ASRC Agile Decision Sciences LLC is currently seeking ... The Data Analyst Senior will leverage Appian's analytics and reporting capabilities to provide ...

Distribution Data Analyst Location: Topeka, KS - Onsite Overview: If you enjoy a fast-paced ... It is on-site in our Topeka, KS office and not open to remote work. Additionally, please note that ...

WHAT YOU'LL DO As a Senior Data Scientist in the Data & Business Intelligence org, you'll be the ... Remote within the United States HOW YOU'LL SPEND YOUR TIME * Threat Detection & Behavioral Analysis:

The Director will manage a small team of data analysts and engineers and will work closely with an ... A fully remote work environment with flexibility and autonomy. * The opportunity to grow with a ...

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 ...

Data Architect

Topeka, KS · On-site +1

$60 - $77.25/hr

Partner with engineering and analytics teams across modeling, integration, MDM, metadata ... Flexible Remote Workday | Business partners may work remote one day per week. * Access to ...

Data Architect

Topeka, KS · On-site +1

$60 - $77.25/hr

Partner with engineering and analytics teams across modeling, integration, MDM, metadata ... Flexible Remote Workday | Business partners may work remote one day per week. * Access to ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

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Showing results 1-20

Remote Data Analyst information

See Kansas salary details

$30.3K

$73.7K

$121.3K

How much do remote data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote data analyst in Kansas is $73,702.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $86,500.00 per year, depending on experience, location, and employer.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or any location with internet access, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and may involve flexible schedules. However, some roles may require occasional on-site visits or specific time zone availability.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

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

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Is data analyst still relevant in 2026?

Data analysts remain relevant in 2026 as organizations continue to rely on data-driven decision-making. The role increasingly involves skills in data visualization, SQL, and tools like Python or R, with demand driven by the growth of big data and analytics technologies.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

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 job categories do people searching Remote Data Analyst jobs in Kansas look for? The top searched job categories for Remote Data Analyst jobs in Kansas are:
What cities in Kansas are hiring for Remote Data Analyst jobs? Cities in Kansas with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Kansas as of August 2026, with employment types broken down into 3% Internship, 88% Full Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $73,702 per year, or $35.4 per hour.

Senior Data Analyst

MMGY Global

Overland Park, KS • On-site, Remote

$85K - $107K/yr

Full-time

PTO

Re-posted 1 hour 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.