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Day Shift Data Analyst Jobs in Kansas (NOW HIRING)

Scopely

... day - whether in our work environments alongside our talented colleagues, or through our deep ... Comfort working quickly in a live-service environment where priorities shift, data is imperfect ...

MMGY Global

Senior Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

  • PTO

So every day, we share our clients' stories from a perspective that inspires people to see the ... As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ...

MMGY Global

Senior Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

  • PTO

So every day, we share our clients' stories from a perspective that inspires people to see the ... As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ...

MMGY Global

Senior Data Analyst

Overland Park, KS · On-site +1

$85K - $107K/yr

  • PTO

So every day, we share our clients' stories from a perspective that inspires people to see the ... As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ...

MMGY Global

Senior Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

  • PTO

So every day, we share our clients' stories from a perspective that inspires people to see the ... As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ...

Russell Stover

Master Data Analyst

Kansas City, KS · On-site

Every day we go to work exhibiting our values of excellence, innovation, entrepreneurship ... A day in the life... As the Master Data Analyst , you will be part of a centralized team ...

Children's Hospital Association

Healthcare Data Analyst

Lenexa, KS · Hybrid

$70K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Healthcare Data Analyst | KC Join us in shaping a healthier future for kids. At Children's Hospital ... We leverage a hybrid working model working three days in the office, two days optional remote work.

BASYS Processing

Financial Data & BI Analyst

Lenexa, KS · On-site

Summary This Financial Data & BI Analyst is responsible for owning data-driven financial reporting ... Up to one day per week may be worked remotely in accordance with the telecommuting policy. * A ...

Trinityhealth

Phlebotomist - Day shift

Saint Francis, KS

$15.25 - $19.25/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Day Shift Description: Job Title: Phlebotomist Employment Type: Full-time (40 hours/week) Shift ... Processes specimens and add-on requests for laboratory analysis. * Follows Universal Precautions ...

Trinity Health

Phlebotomist - Day shift

Saint Francis, KS

$15.25 - $19.25/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Day Shift Description: Job Title: Phlebotomist Employment Type: Full-time (40 hours/week) Shift ... Processes specimens and add-on requests for laboratory analysis. * Follows Universal Precautions ...

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All JobsDay Shift Data Analyst JobsDay Shift Data Analyst Jobs in Kansas

Day Shift Data Analyst information

See Kansas salary details

$12

$34

$58

How much do day shift data analyst jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for day shift data analyst in Kansas is $34.20, according to ZipRecruiter salary data. Most workers in this role earn between $24.66 and $41.44 per hour, depending on experience, location, and employer.

What does a day shift data analyst do?

A Day Shift Data Analyst is responsible for collecting, processing, and analyzing data during regular daytime business hours. They use statistical methods and data visualization tools to translate raw data into actionable insights for their organization. Their work often supports decision-making, process improvements, and strategic planning. Typical tasks include preparing reports, identifying trends, and ensuring data accuracy and integrity.

What does a typical day look like for a day shift data analyst, and how does the role interact with other departments?

As a Day Shift Data Analyst, your day typically starts with reviewing incoming data reports and prioritizing tasks based on business needs. You'll spend much of your time analyzing datasets, creating dashboards, and preparing insights for decision-makers. Collaboration is key—you'll frequently work with departments like marketing, finance, and operations to understand their data requirements and deliver actionable recommendations. Regular meetings with team members and stakeholders are common to ensure alignment and address data-related challenges promptly.

What is the difference between Day Shift Data Analyst vs Night Shift Data Analyst?

AspectDay Shift Data AnalystNight Shift Data Analyst
Work HoursTypically 9 AM - 5 PMTypically 9 PM - 5 AM
Work EnvironmentStandard office settingSame as day shift, but with night hours
Required SkillsData analysis, communication, software proficiencySame as day shift, may include handling overnight data updates
Employer UsageCommon in finance, healthcare, techLess common, but used in 24/7 operations

The main difference between a Day Shift Data Analyst and a Night Shift Data Analyst lies in their working hours. Both roles require similar skills and are used across industries like finance and healthcare. The choice depends on personal preference for working hours and the employer's operational needs.

What skills and qualifications are needed to be a day shift data analyst?

A Day Shift Data Analyst should have strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with data analysis tools like SQL, Excel, and visualization platforms such as Tableau or Power BI, as well as experience with statistical programming languages (e.g., Python or R), is typically required. Attention to detail, effective communication, and problem-solving skills are crucial soft skills for translating data insights into actionable recommendations. These competencies enable analysts to provide timely, accurate insights that support data-driven decision-making during standard business hours.

What are popular job titles related to Day Shift Data Analyst jobs in Kansas?

For Day Shift Data Analyst jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Day Shift Data Analyst jobs in Kansas look for?

The top searched job categories for Day Shift Data Analyst jobs in Kansas are:

What cities in Kansas are hiring for Day Shift Data Analyst jobs?

Cities in Kansas with the most Day Shift Data Analyst job openings:

Day Shift Data Analyst jobs near you

Data Analyst - Marvel Strike Force

Scopely

On-site, Remote

Full-time

Re-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.

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