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Manufacturing Data Analyst Remote Jobs in Nevada

Senior Healthcare Analyst

Las Vegas, NV · Remote

$82K - $103K/yr

This position is Remote in Pacific Time Zone. You will have the flexibility to work remotely* as ... Join us and put your data analytics knowledge and skills to work in support of Operational Finance.

Business Analyst

Las Vegas, NV · On-site +1

$25 - $30/hr

Remote work and relocation assistance are not available. ** Business Analyst Compensation ... Help document operational processes and assist with data entry and record-keeping across asset ...

Revenue Analyst

Las Vegas, NV · On-site +1

$60K - $80K/yr

Time Type: Full time Remote Type: Job Family Group: Finance Summary: The primary purpose of the ... Provide Data, Reporting, & Analysis to assist revenue managers in making Pricing Strategy ...

Pricing Analyst III

Sparks, NV · On-site +1

$85K - $117K/yr

If you have a keen eye for the big picture, excellent technical data analysis skills, and enjoy ... Work in an office environment with the potential for hybrid or remote work settings. At Sierra ...

Time Type: Full time Remote Type: Job Family Group: Commercial Summary: The National Accounts ... Compile all pricing and deal data into a comprehensive library, while managing all the system and ...

Requires analytical and quantitative skills with proven experience in developing strategic ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

Sr. Data Engineer

Reno, NV · On-site +1

$114K - $137K/yr

You'll build trusted, production-grade data that powers analytics, operational intelligence, and AI ... SG1 #Remote Benefits For more information about our benefit offerings, please visit our careers ...

Sr. Data Engineer

Reno, NV · On-site +1

$114K - $137K/yr

You'll build trusted, production-grade data that powers analytics, operational intelligence, and AI ... SG1 #Remote Benefits For more information about our benefit offerings, please visit our careers ...

Sharp analytical skills and a genuine love of precision. * Excel proficiency, with NetSuite ... The Details: This is a remote role with standard business hours, with some extra hours expected ...

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Manufacturing Data Analyst Remote information

How can I make $100,000 a year working from home?

A Manufacturing Data Analyst working remotely can reach a $100,000 annual salary by gaining specialized skills in data analysis, manufacturing processes, and tools like SQL or Python, along with relevant certifications. Building experience, demonstrating strong analytical abilities, and working for companies that offer competitive pay and remote opportunities are key factors in achieving this income level.

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.

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.

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

Yes, many data analyst roles, including manufacturing data analysts, are available as remote positions. These jobs often require skills in data visualization, SQL, and tools like Excel or Tableau, and may involve remote collaboration tools. The availability of remote work depends on the employer and the specific job requirements.

What are the key skills and qualifications needed to thrive as a Manufacturing Data Analyst (Remote), 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 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 may work closely with engineering and production teams to optimize manufacturing efficiency.

What is a Manufacturing Data Analyst (Remote)?

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 can I make $2000 a week working from home?

A Manufacturing Data Analyst working remotely can potentially earn $2000 or more per week by gaining specialized skills in data analysis, using tools like Excel, SQL, or Python, and working for companies that offer high-paying freelance or contract roles. Building a strong portfolio, obtaining relevant certifications, and seeking opportunities with higher pay rates can help achieve this income level. Consistent remote work, often on a full-time basis, is essential for reaching such earnings.
What are the most commonly searched types of Manufacturing Data Analyst jobs in Nevada? The most popular types of Manufacturing Data Analyst jobs in Nevada are:
What job categories do people searching Manufacturing Data Analyst Remote jobs in Nevada look for? The top searched job categories for Manufacturing Data Analyst Remote jobs in Nevada are:
What cities in Nevada are hiring for Manufacturing Data Analyst Remote jobs? Cities in Nevada with the most Manufacturing Data Analyst Remote job openings:
Senior Healthcare Analyst

Senior Healthcare Analyst

UnitedHealth Group

Las Vegas, NV • Remote

$82K - $103K/yr

Full-time

Retirement

Posted 12 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

191st of 886 rated healthcare providers


Job description

This position is Remote in Pacific Time Zone. You will have the flexibility to work remotely* as you take on some tough challenges.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Join us and put your data analytics knowledge and skills to work in support of Operational Finance.

The Healthcare Senior Analyst will develop and maintain Power BI dashboards to provide critical insights into operational and financial performance. They will help support building and maintaining complex data models and their proficiency in working with large data sets will be crucial. By conducting in-depth data analysis and creating ad hoc reports, they will support strategic decision-making and enhance the team's ability to achieve key performance goals.

This position is full-time. Employees are required to have flexibility to work any of our shift schedules during our normal business hours of 8am - 5pm. It may be necessary, given the business need, to work occasional overtime. 

We offer weeks of paid training. The hours of training will be based on your schedule or will be discussed on your first day of employment.

Primary Responsibilities:

Data Engineering & SQL Development

  • Design, develop, and maintain complex SQL solutions to support reporting, analytics, and business decision-making.
  • Write highly efficient and scalable SQL queries against large datasets containing millions of records.
  • Demonstrate advanced proficiency with SQL concepts, including: 
    • Window functions
    • Common Table Expressions (CTEs)
    • Temporary tables
    • Query optimization techniques
    • Complex joins and data transformations
    • Layering and structuring business logic across multiple query steps
  • Analyze and troubleshoot data quality, performance, and reporting issues.
  • Develop repeatable and maintainable data solutions that are easy to understand and support.

Data Modeling & Analytics

  • Design and maintain data models that accurately represent business processes and reporting requirements.
  • Possess a strong understanding of dimensional modeling concepts, including fact tables, dimension tables, and their relationships.
  • Partner with stakeholders to translate business requirements into scalable data solutions.
  • Ensure consistency and accuracy across reporting and analytical datasets.

Power BI Development

  • Develop and maintain enterprise-level Power BI dashboards and reports.
  • Create optimized Power BI data models capable of supporting large datasets while maintaining strong report performance.
  • Leverage best practices around relationships, DAX, data model design, and dataset optimization.
  • Design intuitive and visually compelling dashboards that effectively communicate key business insights.
  • Balance technical performance with user experience and dashboard usability.

Automation & Python Support

  • Utilize Python to support data processing, automation, and analytical workflows when appropriate.
  • Understand fundamental Python concepts, including: 
    • Script execution
    • Functions and modules
    • Reading and writing data files
    • Reusing and integrating code across multiple scripts
  • Collaborate with other technical team members to support automation initiatives and process improvements.

Leadership & Technical Ownership

  • Serve as a subject matter expert for data architecture, SQL development, and reporting solutions.
  • Mentor team members and promote best practices in analytics, reporting, and data management.
  • Independently solve complex technical problems with minimal supervision.
  • Drive continuous improvement in data processes, reporting capabilities, and overall analytical maturity.

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Bachelor's degree in Information Systems, Computer Science, Data Analytics, Finance, Mathematics, Statistics, or a related field, or equivalent practical experience
  • 5 years of experience in data analytics, business intelligence, data engineering, or a related technical role
  • Advanced SQL expertise with experience building complex queries and data solutions
  • Deep understanding of: 
    • Window functions
    • CTEs
    • Temporary tables
    • Query performance tuning
    • Multi-step data transformations
    • Relational databases
  • Understanding of data warehousing concepts and dimensional modeling, including fact and dimension tables
  • Advanced Power BI experience, including: 
    • Data modeling
    • DAX
    • Report optimization
    • Dashboard development
    • Large dataset performance management
  • Ability to work independently and translate ambiguous business requirements into actionable technical solutions
  • Problem-solving, analytical, and communication skills
  • Ability to work full-time. Employees are required to have flexibility to work any of our shift schedules during our normal business hours of 8am - 5pm. It may be necessary, given the business need, to work occasional overtime

   

Preferred Qualifications:

  • Experience working with datasets containing tens of millions of records
  • Experience with Python for automation, data processing, or analytical workflows
  • Experience designing scalable reporting and data architecture solutions
  • Experience mentoring analysts or serving as a technical lead
  • Knowledge of data governance, ETL processes, and enterprise reporting best practices

   

Telecommuting Requirements:

  • Reside within Pacific Time Zone
  • Ability to keep all company sensitive documents secure (if applicable)
  • Required to have a dedicated work area established that is separated from other living areas and provides information privacy
  • Must live in a location that can receive a UnitedHealth Group approved high-speed internet connection or leverage an existing high-speed internet service

   

What Success Looks Like

  • Can independently design and implement complex SQL solutions without guidance
  • Understands data models intuitively and quickly identifies how data should be structured for reporting
  • Builds Power BI solutions that remain performant even with very large datasets
  • Creates dashboards that are both technically efficient and visually effective
  • Uses Python as a practical tool to automate and simplify work when appropriate
  • Functions as the team's go-to expert for data, reporting, and analytics challenges

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $72,800 - $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

   

   

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

   

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.


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