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Remote Entry Level 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 ...

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 ...

EverCommerce

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... Remote, US The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K ...

New

EverCommerce

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... Remote, US The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K ...

EverCommerce

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... Remote, US The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K ...

Maxor National Pharmacy Services

Utilize SQL, Excel, and data visualization tools to maintain and monitor Specialty pricing models ... This is a remote-based position within the Continental US. Our Company Founded in 1926, Maxor is a ...

Maxor National Pharmacy Services

Utilize SQL, Excel, and data visualization tools to maintain and monitor Specialty pricing models ... This is a remote-based position within the Continental US. Our Company Founded in 1926, Maxor is a ...

Maxor National Pharmacy Services

Utilize SQL, Excel, and data visualization tools to maintain and monitor Specialty pricing models ... This is a remote-based position within the Continental US. Our Company Founded in 1926, Maxor is a ...

New

Maxor National Pharmacy Services

Utilize SQL, Excel, and data visualization tools to maintain and monitor Specialty pricing models ... This is a remote-based position within the Continental US. Our Company Founded in 1926, Maxor is a ...

New

Maxor National Pharmacy Services

Utilize SQL, Excel, and data visualization tools to maintain and monitor Specialty pricing models ... This is a remote-based position within the Continental US. Our Company Founded in 1926, Maxor is a ...

New

micro1 AI

Legal AI Trainer - Remote

Wichita, KS · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

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Remote Entry Level Data Analyst information

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How much do remote entry level data analyst jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for remote entry level data analyst in Kansas is $29.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $32.79 per hour, depending on experience, location, and employer.

How to get a job as a data analyst with no experience?

To secure an entry-level data analyst position with no experience, focus on building foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI through online courses or certifications. Gain practical experience by working on personal projects, volunteering, or participating in internships to demonstrate your ability to analyze data and communicate insights effectively.

What does a typical day look like for a Remote Entry Level Data Analyst?

A typical day as a Remote Entry Level Data Analyst often involves cleaning and organizing datasets, generating basic reports, and collaborating with team members through virtual meetings and communication platforms. You might use spreadsheet software or data visualization tools to identify trends and present findings to your supervisor or project stakeholders. Regular tasks also include responding to ad-hoc requests for data and assisting more senior analysts on larger projects. Since you’re working remotely, maintaining clear communication and managing your time independently are crucial for staying aligned with your team’s goals.

What is a Remote Entry Level Data Analyst job?

A Remote Entry Level Data Analyst is a professional who works from a remote location to collect, process, and analyze data to help businesses make informed decisions. They use tools like Excel, SQL, and Python to identify trends, create reports, and support decision-making. Since this is an entry-level role, it typically requires basic data analysis skills and may involve working under the guidance of experienced analysts. Strong communication and problem-solving skills are essential for translating data insights into actionable business strategies.

How to make $2000 a week working from home?

A remote entry-level data analyst can increase earnings by gaining skills in data visualization, SQL, and Excel, and by taking on multiple freelance or contract projects. Earning $2000 weekly typically requires working full-time hours, building a strong portfolio, and possibly obtaining relevant certifications to attract higher-paying opportunities.

Is it possible to get a remote job as a data analyst?

Yes, remote entry-level data analyst positions are widely available, especially as many companies adopt flexible work arrangements. These roles typically require skills in data visualization, SQL, and Excel, and often involve using tools like Tableau or Power BI. Candidates should have a basic understanding of data analysis concepts and may need to demonstrate proficiency through assessments or certifications.

What are the key skills and qualifications needed to thrive in the Remote Entry Level Data Analyst position, and why are they important?

To thrive as a Remote Entry Level Data Analyst, you need a solid understanding of data analysis, basic statistics, and proficiency with spreadsheet and data visualization tools—often supported by a degree in a related field such as mathematics or computer science. Familiarity with programming languages like SQL or Python and experience using analytics platforms like Excel, Tableau, or Google Data Studio are commonly required. Strong attention to detail, effective communication, and self-motivation are key soft skills for remote collaboration and successful project delivery. These skills are essential for accurately interpreting data, sharing actionable insights, and contributing to team objectives in a distributed work environment.

How to make $1000 a week remote?

A remote entry-level data analyst can aim to earn $1000 weekly by working multiple part-time or freelance projects, leveraging skills in Excel, SQL, or data visualization tools. Building a strong portfolio, obtaining relevant certifications, and applying to multiple clients or companies can increase earning potential, especially when working consistently and efficiently.
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 Entry Level Data Analyst jobs in Kansas? For Remote Entry Level Data Analyst jobs in Kansas, the most frequently searched job titles are:
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What cities in Kansas are hiring for Remote Entry Level Data Analyst jobs? Cities in Kansas with the most Remote Entry Level Data Analyst job openings:
Remote Entry Level Data Analyst jobs near you
Infographic showing various Remote Entry Level Data Analyst job openings in Kansas as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $61,080 per year, or $29.4 per hour.
Data Analyst - Marvel Strike Force

Data Analyst - Marvel Strike Force

Scopely

On-site, Remote

Other

Posted 3 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