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Hmis Data Analyst Jobs in Reno, NV (NOW HIRING)

Familiarity with Measurement Systems Analysis (MSA) and gauge R&R studies * Experience developing or improving HMIs or factory data systems such as Ignition, SCADA, or MES platforms * Knowledge of GD ...

New

Controls Technician

Mccarran, NV · On-site

$30.75 - $40.50/hr

Key duties include troubleshooting and repairing PLCs, HMIs, VFDs, sensors, and other automation ... Strong analytical and problem-solving skills with a proactive approach to identifying and resolving ...

Controls Technician

Mccarran, NV · On-site

$30.75 - $40.50/hr

In this position, you will troubleshoot and repair PLCs, HMIs, VFDs, sensors, and automation ... system analysis. * Support equipment commissioning, process improvements, and system upgrades ...

... HMIs, servo drives, process instrumentation, and robotics-from initial power-up through debugging ... Expertise in data collection, statistical analysis (SPC), and data visualization/SCADA platforms ...

Hmis Data Analyst information

See Reno, NV salary details

$33.9K

$82.4K

$135.6K

How much do hmis data analyst jobs pay per year?

As of Aug 31, 2026, the average yearly pay for hmis data analyst in Reno, NV is $82,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,700.00 per year, depending on experience, location, and employer.

What is an HMIS Data Analyst?

HMIS Data Analysts are professionals who specialize in managing, analyzing, and interpreting data within a Homeless Management Information System (HMIS). They help organizations collect and use data to track homelessness trends, program performance, and client outcomes. By ensuring data quality and generating reports, HMIS Data Analysts support decision-making and compliance with funding requirements. Their work is essential for improving services and securing resources to address homelessness.

What are the key skills and qualifications needed to thrive as an HMIS Data Analyst?

To thrive as an HMIS Data Analyst, you need a solid background in data analysis, database management, and an understanding of the Homeless Management Information System (HMIS), typically supported by a degree in statistics, computer science, or a related field. Familiarity with data analysis tools like SQL, Excel, and reporting platforms such as Tableau or Power BI, as well as HMIS-specific software, is essential. Attention to detail, critical thinking, and strong communication skills help you interpret data accurately and convey insights to stakeholders. These skills ensure accurate reporting, support data-driven decision-making, and help organizations better serve homeless populations.

What are some common challenges faced by HMIS Data Analysts, and how can they be addressed?

HMIS Data Analysts often encounter challenges such as inconsistent data quality, navigating complex database systems, and ensuring compliance with data privacy standards. Addressing these issues typically involves collaborating closely with case managers and IT staff to standardize data entry practices, conducting regular data audits, and staying updated on relevant privacy regulations. Building strong communication skills and fostering a detail-oriented mindset are essential for resolving discrepancies and supporting effective decision-making within the organization.

What cities near Reno, NV are hiring for Hmis Data Analyst jobs?

Cities near Reno, NV with the most Hmis Data Analyst job openings:

Infographic showing various Hmis Data Analyst job openings in Reno, NV as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $82,398 per year, or $39.6 per hour.

Full-time

Posted yesterday

New


Job description

Role Summary

We are seeking a skilled and hands-on Process Engineer to join our Production Engineering team, focused on developing, sustaining, and optimizing manufacturing processes across our production lines.

The ideal candidate brings a strong foundation in process development, data analysis, and continuous improvement, along with the drive to expand expertise across disciplines. This role requires critical thinking, fast learning, and direct ownership of process performance in a high-paced production environment.

This is a floor-facing, high-impact role. You will work closely with Quality, Equipment, and Operations teams to ensure processes are capable, repeatable, and continuously improving.

Responsibilities

  • Support production operations across shifts, including remote or onsite escalation response as needed to minimize process-related downtime and yield loss
  • Develop, implement, and optimize production processes to ensure safety while maximizing Overall Equipment Effectiveness (OEE) and achieving world-class quality levels
  • Diagnose process failures and defects, drive corrective actions to root cause, and implement sustainable countermeasures to prevent recurrence
  • Monitor and reduce process variation using Statistical Process Control (SPC) and Measurement Systems Analysis (MSA); audit manufacturing processes to ensure product specifications and standards are consistently achieved
  • Develop data collection, visualization, and analysis tools to enable data-driven decision making and predictive insight into process performance
  • Champion continuous improvement projects to improve yield, capacity, and process capability, including cycle time reduction, scrap reduction, and labor efficiency gains
  • Develop and maintain FMEAs and Control Plans; analyze, develop, and implement Engineering Change Orders
  • Create and maintain Manufacturing Instructions, process routings, and related documentation, including rework procedures
  • Own process-level metrics, present performance data to engineering and operations stakeholders, and drive structured improvement initiatives
  • Maintain comprehensive process documentation and participate in Engineering Change Management

Qualifications

  • Bachelor's or Master's degree in Mechanical, Manufacturing, Chemical, or Industrial Engineering, or a related field
  • 3+ years of experience in a high-volume, highly automated manufacturing environment developing and improving processes
  • Proven experience driving process and OEE improvements through structured root cause analysis and continuous improvement methods
  • Proficiency in structured problem-solving methodologies such as DMAIC, 5 Whys, 8D, or Ishikawa
  • Knowledge of Statistical Process Control (SPC) and its application in manufacturing environments
  • Experience with data collection and analysis for process performance and development
  • Ability to lead cross-functional projects and support 24/7 operations during escalations
  • Strong written and verbal communication skills

Bonus Qualifications

  • Experience with data analysis and visualization tools such as Python, JMP, Minitab, Tableau, or similar
  • Familiarity with Measurement Systems Analysis (MSA) and gauge R&R studies
  • Experience developing or improving HMIs or factory data systems such as Ignition, SCADA, or MES platforms
  • Knowledge of GD&T and its impact on process capability and manufacturability
  • Experience with power electronics or electromechanical assembly processes in energy, automotive, aerospace, or consumer electronics manufacturing
  • Experience with MES or factory data platforms for process monitoring, alarming, and analysis
  • Creative problem-solving mindset with a focus on faster, better, and more cost-effective solutions

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options.