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Manufacturing Data Analyst Remote Jobs in Kansas

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 ...

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

This role designs and implements advanced analytical and AI/LLM-based solutions - including ... You will work a hybrid schedule from our Leawood, KS or will consider remote within the United ...

File Clerk (Remote)

Overland Park, KS · Remote

$16.25 - $19.50/hr

Schafer Manufacturing Co is a leading provider of high-quality industrial products with a focus on ... Perform data entry tasks as required * Assist with general administrative duties as needed ...

New

File Clerk (Remote)

Overland Park, KS · Remote

$16.25 - $19.50/hr

Schafer Manufacturing Co is a leading provider of high-quality industrial products with a focus on ... Perform data entry tasks as required * Assist with general administrative duties as needed ...

New

Role & Team We are excited to add a Staff Data Scientist, Wildfire to our team. This individual ... Deep expertise in remote sensing and geospatial analysis, including working with satellite imagery ...

$98K - $118K/yr

Comfortable modeling data across relational and document-based systems, analyzing schemas, and ... Environment US/LatAm-based remote working within PT/ET time zones with the potential for occasional ...

New

NC Programmer - Remote

Wichita, KS · Remote

$23.75 - $32.50/hr

Strong analytical skills to evaluate machining processes and make data-driven decisions to optimize ... Associate's or Bachelor's degree in Manufacturing Technology, Mechanical Engineering, or a related ...

Support timely decision-making by providing accurate quality data and analysis. Documentation ... Opportunity to work with a globally respected aviation manufacturer. * Meaningful work that ...

Senior Data Engineer

Kansas, KS · On-site +1

$93K - $127K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Data Enablement for Analytics & Data Science: Partner closely with data scientists to prepare ...

$125K - $165K/yr

Support Product and Data Analytics teams with curated datasets and high-performance query patterns ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

$125K - $165K/yr

Support Product and Data Analytics teams with curated datasets and high-performance query patterns ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

AVP, Strategic Analysts

Home, KS · Remote

$80K - $99K/yr

College degree in Computer Science, Engineering, Data Analytics, or equivalentexperience #LI-LH1 #LI-REMOTE For individuals assigned or hired to work in the location(s) indicated below, the base ...

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Manufacturing Data Analyst Remote information

What is a manufacturing data analyst?

A Manufacturing Data Analyst (Remote) is a professional who analyzes production data to help manufacturers optimize efficiency, reduce waste, and improve product quality. Working remotely, they collect, process, and interpret data from manufacturing processes using analytical tools and software. They collaborate with engineering, operations, and management teams to identify trends, troubleshoot issues, and recommend data-driven improvements. Their insights support strategic decision-making and help companies maintain competitive advantages in their production operations.

How does a manufacturing data analyst collaborate with production teams in a remote setting?

As a remote Manufacturing Data Analyst, you will regularly interact with production managers, engineers, and quality assurance teams through virtual meetings and digital collaboration tools. Your main responsibilities include collecting and analyzing production data, identifying trends, and providing actionable insights to optimize manufacturing processes. Effective communication skills are essential, as you’ll often present your findings and recommendations remotely, ensuring all stakeholders are aligned despite not being on-site. Regular updates and digital dashboards help maintain transparency and foster strong team collaboration.

What are the key skills and qualifications needed to thrive as a manufacturing data analyst, and why are they important?

To thrive as a Manufacturing Data Analyst (Remote), you need strong analytical skills, proficiency in data modeling, and a relevant degree in engineering, mathematics, or a related field. Familiarity with data analytics tools such as SQL, Python, Power BI, and ERP/MES systems, as well as certifications like Six Sigma, is highly beneficial. Excellent problem-solving abilities, communication skills, and attention to detail help you interpret data and collaborate across teams. These skills are crucial for driving data-driven decision-making, process improvements, and operational efficiency in manufacturing environments.

What is the difference between Manufacturing Data Analyst Remote vs Manufacturing Data Analyst in-office?

AspectManufacturing Data Analyst RemoteManufacturing Data Analyst In-office
Work EnvironmentRemote, home-based setup with digital collaboration toolsOn-site manufacturing facilities or office locations
Required CredentialsBachelor's in Data Analysis, Manufacturing, or related field; proficiency in data toolsSame as remote, often with additional industry-specific certifications
Employer & Industry UsageManufacturing companies adopting remote data analysis practicesTraditional manufacturing settings with on-site data analysis
Search & Comparison IntentPeople looking for remote manufacturing data analysis rolesIndividuals seeking in-office manufacturing data analyst jobs

The main difference between Manufacturing Data Analyst Remote and in-office roles lies in the work environment. Remote positions allow analysts to work from home using digital tools, while in-office roles require presence at manufacturing sites or offices. Credentials and industry usage are similar, but the choice depends on your preference for remote work versus on-site presence.

Is it possible to work remotely as a manufacturing data analyst?

Manufacturing data analysts can often work remotely, especially if their role involves analyzing digital data, creating reports, and using tools like SQL, Excel, or data visualization software. However, some positions may require on-site presence for equipment operation or collaboration with manufacturing teams. Remote work availability depends on the company's policies and the specific responsibilities of the role.

What does a manufacturing data analyst do?

A manufacturing data analyst collects, analyzes, and interprets production and operational data to identify trends, improve processes, and support decision-making. They often use tools like Excel, SQL, or data visualization software and work closely with manufacturing teams to optimize efficiency and quality.

What are the most commonly searched types of Manufacturing Data Analyst jobs in Kansas?

The most popular types of Manufacturing Data Analyst jobs in Kansas are:

What cities in Kansas are hiring for Manufacturing Data Analyst Remote jobs?

Cities in Kansas with the most Manufacturing Data Analyst Remote job openings:

Data Analyst - Marvel Strike Force

Scopely

On-site, Remote

Full-time

Re-posted 10 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.