ZipRecruiter

Log In

2

Hourly 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:

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 ...

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 ...

City of Wichita, KS

Application Analyst

Wichita, KS · On-site +1

$61K - $108K/yr

Remote Optional Job Number: Application Analyst Department: Information Technology Division: IT ... The role also contributes to process improvement, reporting automation, data integrity, and vendor ...

Deloitte

Accounts Receivable Analyst

Wichita, KS · Remote

$21.50 - $27.25/hr

Experience analyzing billing workflows, claim issues, or operational data For individuals assigned and/or hired to work in a remote role, Deloitte is required by law to include a reasonable estimate ...

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 ...

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 ...

next page

Showing results 1-20

All JobsHourly Data Analyst JobsHourly Remote Data Analyst JobsHourly Remote Data Analyst Jobs in Kansas

Hourly Remote Data Analyst information

What are Hourly Remote Data Analysts?

Hourly Remote Data Analysts are professionals who work from a remote location to analyze data for organizations, typically on an hourly wage basis. Their responsibilities often include collecting, cleaning, and interpreting data to help businesses make informed decisions. They use statistical tools and software to identify trends, generate reports, and provide actionable insights. Working remotely allows them flexibility, while being paid hourly means their compensation is based on the time spent on tasks rather than a fixed salary.

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

AspectHourly Remote Data AnalystHourly Remote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQLBachelor's or higher in Data Science, Computer Science, or related; certifications in Python, R, or machine learning
Work EnvironmentRemote, project-based, often in business or marketing sectorsRemote, research-focused, often in tech, finance, or healthcare industries
Employer & Industry UsageUsed by companies needing data interpretation for decision-makingUsed by organizations developing models, algorithms, and advanced analytics

While both roles involve working with data remotely, data analysts focus on interpreting data to inform business decisions, whereas data scientists develop models and algorithms for deeper insights. The roles share similar credentials but differ in complexity and scope.

How does working as an hourly remote data analyst impact collaboration with team members and project managers?

As an hourly remote data analyst, you’ll typically collaborate with cross-functional teams using digital communication tools like Slack, Zoom, and project management platforms. While you may have flexibility in your work hours, it’s important to align your availability with key team meetings and project deadlines. Clear communication and proactive status updates help ensure smooth collaboration and project success. You may also be expected to document your work thoroughly, making it easy for teammates in different time zones to understand your analyses and findings.

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

To thrive as an Hourly Remote Data Analyst, you need strong analytical skills, data interpretation abilities, and proficiency with data management, often supported by a relevant degree or equivalent experience. Familiarity with technical tools such as Excel, SQL, Python, and data visualization platforms like Tableau or Power BI is typically required. Exceptional attention to detail, time management, and clear remote communication are crucial soft skills for this role. These competencies enable effective data-driven decision-making, reliable remote collaboration, and high productivity in a flexible working environment.
What are the most commonly searched types of Remote Data Analyst jobs in Kansas? The most popular types of Remote Data Analyst jobs in Kansas are:
What are popular job titles related to Hourly Remote Data Analyst jobs in Kansas? For Hourly Remote Data Analyst jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Hourly Remote Data Analyst jobs in Kansas look for? The top searched job categories for Hourly Remote Data Analyst jobs in Kansas are:
Hourly Remote Data Analyst jobs near you
Data Analyst - Marvel Strike Force

Data Analyst - Marvel Strike Force

Scopely

On-site, Remote

Other

Posted 11 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