Emerson is hiring a Data Analyst in Marshalltown, Iowa. This on-site opportunity is ideal for candidates with a passion for data analytics, machine learning, and predictive diagnostics in industrial systems. If you’re skilled in tools like Python, R, Power BI, or Grafana, and want to transform raw performance metrics into actionable insights, this role offers a high-impact position at the intersection of data science and industrial innovation. Read on for full details, including responsibilities, qualifications, and how to apply.
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- Company: Emerson
- Website: emerson.com
- Job Position: Data Analyst
- Location: Marshalltown, Iowa (On-site)
- Job Type: Full-Time
- Job ID: 25022921
- Salary: Up to $100k/ yr (Expected)
Job Description
Emerson is seeking a data-driven and analytical professional for its Data Analyst position based in Marshalltown, IA. This role plays a critical part in enhancing predictive diagnostics, optimizing performance, and uncovering hidden patterns in industrial systems. You’ll be joining a team that’s leading the future of condition-based monitoring and operational reliability.
Key Responsibilities
- Analyze valve performance metrics to identify early signs of degradation or failure.
- Apply statistical techniques, data mining, and machine learning to extract insights.
- Create dashboards and visualizations using Power BI, Grafana, or similar tools.
- Produce reports and presentations to guide business decisions.
- Maintain accuracy and quality across all datasets and analytic processes.
Required Qualifications
- Bachelor’s degree in Data Analytics, Data Science, Engineering, or equivalent experience.
- Experience in data analysis and condition monitoring.
- Working knowledge or willingness to learn Python and R.
- Familiarity or interest in data visualization tools like Power BI and Grafana.
- Strong communication and problem-solving skills.
- Authorization to work in the U.S. (No sponsorship provided).
Preferred Qualifications
- Understanding of control theory in valve applications.
- Familiarity with actuators, positioners, and control loop dynamics.
- Experience in diagnostics, electronics, and signal processing.
- Certification in reliability engineering (e.g., CMRP).
- Background in process industries such as oil & gas, petrochemicals, or power generation.
