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Remote Data Analyst Jobs in Kansas (NOW HIRING)

Scopely

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 ...

MMGY Global

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 ...

Advisors Excel

Annuity Marketing Data Intern

Topeka, KS · On-site +1

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 ...

Ascend Learning

Sr Data Scientist

Leawood, KS · On-site +1

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:

Federal Home Loan Bank of Topeka

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 ...

Federal Home Loan Bank of Topeka

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 ...

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 ...

Prodigy Finance Ambassador Programme

Funding Analyst Remote: South Africa Prodigy Finance - Who are we? Prodigy Finance is a platform ... Strong sense of integrity in handling sensitive topics and data * Balance conflicting demands and ...

New

Emprise Bank

Embedded Business Analyst

Wichita, KS · On-site +1

The Embedded Business Analyst is responsible for strategic business partnership and consultation, business data and translation, performance measurement and analytics, and data governance and ...

Harris

CIS Implementation Consultant Systems & Software - Remote Systems and Software is seeking an ... Data Conversion Specialists, Developers, Quality Assurance, Technical Support Analysts, and other ...

Harris

CIS Implementation Consultant Systems & Software - Remote Systems and Software is seeking an ... Data Conversion Specialists, Developers, Quality Assurance, Technical Support Analysts, and other ...

S&S's Customer Information Systems

CIS Implementation Consultant Systems & Software - Remote Systems and Software is seeking an ... Data Conversion Specialists, Developers, Quality Assurance, Technical Support Analysts, and other ...

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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Kansas

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 Jul 19, 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.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

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 do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

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.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

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.

More about Remote 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 Remote Data Analyst jobs in Kansas? For Remote Data Analyst jobs in Kansas, the most frequently searched job titles 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:
Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Kansas as of July 2026, with employment types broken down into 3% Internship, 87% Full Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $73,702 per year, or $35.4 per hour.
Data Analyst - Marvel Strike Force

Data Analyst - Marvel Strike Force

Scopely

On-site, Remote

Other

Posted 4 days ago

Job description

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, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. 

Marvel Strike Force is Scopely's squad-based Hero Collector RPG, housing heroes and villains across the Marvel Universe.

What You Will Do
  • Use AI-enabled tools thoughtfully to accelerate analytical workflows, including data exploration, SQL/Python development, documentation, QA, summarization, and insight generation, while maintaining strong judgment around data quality, accuracy, privacy, and business context
  • Partner with product, design, economy, live operations, marketing, and leadership teams to turn data into clear insights that improve player engagement, retention, monetization, and long-term game health
  • Own recurring business-health reporting for Marvel Strike Force, including KPI reads, trend context, variance explanations, and executive-ready narratives for what changed, why it changed, and what to do next
  • Analyze player behavior across onboarding, progression, events, offers, combat modes, and other core game systems to identify risks, opportunities, and player-impacting friction
  • Design and validate analytics tracking for new features, live events, player offers, and experiments so teams can measure performance accurately from launch onwar
What We're Looking For
  • B.Tech/BS in Computer Science, Statistics, Math, Physics or other quantitative disciplines
  • 2+ years of experience in data analytics, product analytics, business analytics, financial analysis, data science, or a similar quantitative role
  • 2+ years' experience using SQL/Python, including complex queries from multiple data sources
  • 2+ years' experience creating reports using Tableau/Looker or a similar reporting system
  • Curiosity and hands-on interest in using AI tools to improve analytics workflows, with the judgment to validate outputs, protect sensitive data, and distinguish useful acceleration from unsupported conclusions
  • Familiarity with experimentation, including A/B test design, metric selection, statistical significance, guardrail metrics, and post-test interpretation
  • Excellent communication and storytelling skills, with the ability to turn detailed analysis into concise, actionable recommendations for both technical and non-technical partners
  • Comfort working quickly in a live-service environment where priorities shift, data is imperfect, and decisions often need both speed and rigor

Bonus Points

  • Demonstrates openness to using AI-enabled tools to improve analytical workflows, accelerate insight generation, and support high-quality data-driven decision-making
  • Passion for games and curiosity about what motivates players, especially in RPG, hero collector, strategy, or squad-based combat games
  • Advanced degrees a plus
  • 2+ years within the mobile gaming domain
  • Experience analyzing player lifecycle metrics such as onboarding, funnels, retention, engagement, progression, monetization, economy health, offers, events, or churn
  • Experience with modern analytics workflows such as dbt, Snowflake, BigQuery, Git, notebook-based analysis, or reusable data models

Please ensure that the resume/CV you attach is written in English.

Apply