2

Remote Data Analyst Freelance Jobs in Kansas (NOW HIRING)

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:

next page

Showing results 1-20

Remote Data Analyst Freelance information

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

To thrive as a Remote Data Analyst Freelance, you need strong analytical skills, proficiency in statistics, and a solid educational background in mathematics, computer science, or a related field. Familiarity with data analysis tools such as SQL, Python, R, Excel, and data visualization platforms like Tableau or Power BI is typically required, along with knowledge of relevant certifications. Excellent communication, time management, and problem-solving skills help freelancers effectively interpret data and deliver insights to clients remotely. These skills ensure accurate analysis, clear reporting, and client satisfaction in a flexible and autonomous work environment.

What is a remote data analyst freelance?

Remote Data Analyst Freelance jobs involve analyzing and interpreting data for clients or companies while working from a location of your choice, rather than in an office. Freelance data analysts are typically self-employed and work on a project or contract basis, providing services such as data cleaning, visualization, statistical analysis, and reporting. These roles require strong analytical skills, proficiency in tools like Excel, SQL, Python, or R, and the ability to communicate findings clearly. Freelancers enjoy flexibility in their schedules and the ability to work with multiple clients across different industries.

How do remote data analyst freelancers typically collaborate with clients and teams across different time zones?

Remote freelance data analysts often use a combination of project management tools (like Trello or Asana), communication platforms (such as Slack or Zoom), and cloud-based data sharing (like Google Drive or Tableau) to stay connected with clients and team members. Flexibility in scheduling is important, as meetings and deadlines may need to accommodate various time zones. Establishing clear communication protocols and regular check-ins helps ensure alignment on project goals, expectations, and deliverables, making collaboration smooth even when working asynchronously.
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 Remote Data Analyst Freelance jobs in Kansas? For Remote Data Analyst Freelance jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Remote Data Analyst Freelance jobs? Cities in Kansas with the most Remote Data Analyst Freelance job openings:

Data Analyst - Marvel Strike Force

Scopely

On-site, Remote

Full-time

Posted 27 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.