Business data analyst at Terra Aqua Environmental Consultancy Nigeria Limited in Sango - Ota, Ogun

Job position

The Business data analyst will play a vital function in assisting Terra Aqua Ecological Consultancy Limited’s Metal Recycling Plant processes by collecting, evaluating, and interpreting generation, servicing & maintenance, financial, and stock chain data. The position is in charge of transforming unedited business data into practical findings that optimize productivity, long-term viability, adherence, and profit margin. The evaluator will collaborate with Processes, Servicing & maintenance, ESG, Finance, and Top level Management to design status updates operational structures, build dashboards, and offer decision-assist evaluation. This is an skilled-level role requiring a solid experience in industrial/production operations business intelligence, verified ability to design and preserve databases/dashboards, and the capability to operate with large, sophisticated data collections.

Expertise:

• At least 4–6 years of demonstrated expertise as a Business data analyst in production operations, heavy industry, recycling, or associated environment.
• Exhibited track document in designing dashboards, building data pipelines, and carrying out in- depth business data analysis.
• Expertise with generation process data preferred.

Specialized abilities:

• Robust competence in data visualization & analytics platforms: Power BI, Tableau, or equivalent.
• Improved Excel competencies (pivot tables, power query, VBA).
• Competence with databases and SQL for coordinating large data collections.
• Expertise with Python or R for improved data analysis and automatic control will be a plus.
• Understanding with Enterprise platform planning operational structures and consolidation of business data.
• Expertise in predictive data analysis for servicing & maintenance (machine learning preferred but not necessary).

Sector awareness:

Comprehension of industrial manufacturing workflows, furnaces, recycling, or heavy tools processes will be a plus. Understanding with logistics & supply data analysis in a production operations circumstance.

Interpersonal abilities:

• Robust logical and analytical abilities.
• Capability to convert sophisticated data into practical findings for non-technical participants.
• Outstanding documented and spoken communication competencies.
• High meticulousness and data precision.
• Capability to operate cross-operationally with processes, servicing & maintenance, finance, and ESG teams.