Data Analyst

Position Overview

Data Analyst

The role involves working closely with leadership, project teams, site teams, and the MDs office to deliver insightful dashboards, MIS reports, and presentations that support business decisions.

Qualifications & Experience

• Bachelor’s Degree in

  Engineering, Data Science, Statistics, Mathematics, Computer Science

  , or related fields.
• 3–10 years of experience in

  data analytics, business analytics, MIS reporting

  , or dashboard creation roles.
• Experience in industries such as

  construction, mining, infrastructure, equipment rental, or large workforce environments

  is an added advantage.

Key Responsibilities

1. Data Collection, Cleaning & Structuring

• Gather data from various departments such as Construction, Mining, Equipment Rental, Manpower, Admin, HR, and Finance.
  
• Clean, validate, normalize, and prepare data sets for analysis.
  
• Maintain master data sheets for equipment, manpower, productivity, and cost tracking.
  

2. Dashboard & Visualization Development

Dashboard and visualization capability is mandatory.

• Create and maintain

  interactive dashboards

  for:
• Equipment utilization
  
• Project performance
  
• Mining output
  
• Manpower deployment
  
• Cost and productivity KPIs
  
• Rental operations and fleet efficiency
  
• Develop dynamic dashboards using tools such as:
  

• Tableau (mandatory)

• Power BI

• Excel Dashboards (Advanced)

• Google Data Studio

• Any other dashboard/BI tools (Looker, Qlik, Zoho Analytics, etc.)
  
• Automate dashboard updates wherever possible.
  

3. Reporting & Presentation

• Prepare daily, weekly, and monthly MIS reports for management.
  
• Compile analytical insights and prepare professional

  PowerPoint presentations

  for the MD and leadership team.
• Develop trend analysis, forecasting, and comparative insights for decision-making.
  

4. Analytical Insights

• Interpret large data sets to extract actionable insights.
  
• Analyze equipment productivity, cost efficiency, manpower distribution, and performance metrics.
  
• Provide solutions and data-backed recommendations to improve operational efficiency.
  

5. Cross-Functional Coordination

• Work closely with Operations, Equipment, Mining, Manpower, HR, Finance, Admin, and Project Teams.
  
• Gather data from site teams and ensure accuracy and timeliness of inputs.
  
• Support strategic initiatives and business decisions through data-driven analysis.
  

6. Tools & Technical Skills

Must be proficient in:

• Excel (Advanced) – formulas, pivots, macros preferred

• Power BI

• Tableau

• Google Sheets / Google Data Studio

• SQL

  (preferred)

• Python/R

  (optional but preferred)

• PPT for presentations

• Knowledge of any other BI tools is a strong advantage.
  

Key Competencies

• Strong analytical and logical thinking skills.
  
• Excellent data visualization and storytelling capability.
  
• High accuracy and attention to detail.
  
• Ability to work with large datasets from diverse sources.
  
• Strong communication and presentation skills.
  
• Tech-savvy and quick to adopt new tools.
  
• Ability to coordinate with multi-location teams.
  
• Comfortable working in a fast-paced and diversified business environment.
  

Work LocationRole & responsibilities

Preferred candidate profile