IT & ERP Data Analyst – Manufacturing (Onsite - Sparks, NV) at RIX INDUSTRIES

Sparks, Nevada, United States -

Full Time

Start Date

Immediate

Expiry Date

30 Dec, 25

Salary

0.0

Posted On

01 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Power BI, Excel, ERP Systems, Data Visualization, Reporting, Collaboration, KPI Monitoring, Root Cause Analysis, Data Integrity, Communication, Problem Solving, Continuous Improvement, Critical Thinking, Training

Industry

Industrial Machinery Manufacturing

Description

Description RIX Industries is a technology-focused company specializing in the design, development and manufacturing of gas generation systems, precision compressor solutions, and cryogenic cooling technologies for critical applications in Marine, Aerospace, Land, Energy, Industrial, Medical, and Critical Infrastructure markets. Founded in 1878, the company is headquartered in Benicia, CA, and operates additional facilities in Sparks, NV. Position Summary The IT Data Analyst is primarily responsible for transforming raw data into actionable insights that support production efficiency, quality control, inventory management, and operational decision-making. The IT Data Analyst will work closely with cross-functional teams and play a key role in report generation, performance tracking, and systems integration. Responsibilities Analyze manufacturing data sets (production, downtime, scrap, throughput, etc.) to identify trends and opportunities for operational improvement. Translate raw data into actionable insights to support quality control, inventory management, and strategic decision-making in collaboration with cross-funtional teams. Develop, maintain, and automate recurring reports and dashboards for internal teams and leadership using Power BI, Excel, or other tools. Write clear and concise reports that translate complex data into actionable business insights. Support ERP (e.g., Infor CSI/Syteline, SAP) and MES data extraction for ad hoc analysis and scheduled reporting. Collaborate with software developers and IT to support and maintain .NET-based systems related to data reporting, interfaces, and workflows. Assist in the development and monitoring of KPIs such as OEE, yield, downtime, and cost efficiency. Provide training and documentation to non-technical users to support effective use of dashboards, reports, and data tools. Perform root cause analysis using historical and real-time data to support problem-solving and continuous improvement efforts. Ensure data accuracy, integrity, and proper governance practices across all reporting and analysis processes. All other duties assigned. Requirements Minimum Qualifications Bachelor’s degree in data science, Industrial Engineering, Computer Science, Statistics, or a related field plus 2 or more years experience in data analysis, reporting, or business intelligence. Demonstrated ability to analyze production, inventory, and quality data to support operations and continuous improvement efforts. Strong SQL skills for querying ERP, MES, and production databases. Proficiency with data visualization tools such as Power BI or Tableau for dashboards, visual analysis, and KPI monitoring. Advanced Microsoft Excel knowledge, including pivot tables, lookups, macros, and modeling. Experience with .NET applications — understanding data structures, supporting integration/reporting features, or collaborating with developers. Working knowledge of ERP systems (e.g., Infor CSI/Syteline, SAP, Oracle) and related business applications. Ability to extract, clean, and structure data from APIs, cloud systems (e.g., Azure, AWS), or flat files. Skilled in writing detailed, accurate, and user-friendly reports for production, quality, and executive teams. Able to produce scheduled and ad hoc reports related to KPIs, downtime, QC metrics, and operational efficiency. Experience writing clear data summaries with actionable insights to support cross-functional decision-making. Strong analytical and critical thinking skills with a data-driven mindset. Clear written and verbal communication skills, especially when presenting data to non-technical stakeholders. Able to collaborate effectively across teams including production, engineering, quality, and IT. Highly organized, self-directed, and comfortable managing multiple priorities and deadlines. Citizenship: U.S. Citizen or qualified U.S. Person in accordance with ALU 22CFR 120.15. Preferred Qualifications Experience in the manufacturing industry. Background supporting .NET-based systems or applications, especially reporting modules or custom integrations. Experience with Infor CSI/Syteline, Datalake and Birst Experience with software testing and writing test reports Physical Requirements Must have the following physical abilities: Ability to stoop, kneel, crouch, bend, stretch, reach, and lift. Ability to lift up to 50 pounds regularly. Ability to sit or stand for extended periods at a desk or table as well as machine tools or printers. Work Environment Office Equal Opportunity RIX Industries is committed to a continuing program of equal employment opportunity. All persons have equal employment opportunities with RIX Industries, regardless of their sex, race, color, age, religion, creed, sexual orientation, national origin, ancestry, physical or mental disability, medical condition (cancer or genetic characteristics), marital status, gender (including gender identity or gender expression), familial status, military or veteran status, genetic information, pregnancy, childbirth, breastfeeding, or related conditions (or any other group or category within the framework of the applicable discrimination laws and regulations).

Responsibilities

The IT Data Analyst is responsible for transforming raw data into actionable insights to support production efficiency and operational decision-making. This role involves analyzing manufacturing data, generating reports, and collaborating with cross-functional teams.