Remote Industrial Data Analyst for IoT & Insights

Placements24; Noord-Kaap; Hybrid; ZAR 600.000 - 900.000; Vollzeit

Benefits dieser Stelle

Health benefits

Flexible working hours

Remote work

Professional development

Performance bonuses

Zusammenfassung

Placements24 is seeking a Remote Industrial Data Analyst to join a globally distributed team. You will collect, preprocess, and analyze large industrial datasets from sensors, machinery, and systems to drive improvements in efficiency and predictive maintenance.

The ideal candidate has 4+ years of data analysis experience in industrial settings, strong Python or R skills, SQL proficiency, and expertise in Tableau or Power BI.

Qualifikationen

• Bachelor's or Master's degree in a quantitative field.
• Minimum of 4 years of experience as a Data Analyst in industrial/manufacturing data.
• Proficiency in Python or R with data libraries.
• Experience with SQL for data querying.
• Strong data visualization skills (Tableau/Power BI).
• Familiarity with industrial IoT concepts and SCADA is advantageous.
• Excellent analytical and communication abilities.

Aufgaben

• Collect, clean, and preprocess large industrial datasets.
• Perform in-depth data analysis to identify trends and optimization opportunities.
• Develop dashboards and reports to visualize KPIs for stakeholders.
• Apply statistics and ML techniques for predictive models.
• Collaborate with clients to translate data needs into solutions.
• Ensure data integrity and security throughout analysis.
• Document methodologies and findings clearly.

Kenntnisse

Data analysis

Python

SQL

Data visualization

Industrial IoT

Problem solving

Communication skills

Remote work

Ausbildung

Bachelor's/Master's in Industrial Engineering/Data Science

Tools

Tableau

Power BI

SCADA systems

Jobbeschreibung

Placements24 is seeking a Remote Industrial Data Analyst to join a globally distributed team. You will collect, preprocess, and analyze large industrial datasets from sensors, machinery, and systems to drive improvements in efficiency and predictive maintenance.

The ideal candidate has 4+ years of data analysis experience in industrial settings, strong Python or R skills, SQL proficiency, and expertise in Tableau or Power BI.