Business Intelligence & Analytics Professional

Role Objective

We are seeking a commercially intelligent and analytical skilled to build a centralized intelligence layer across our businesses. The role converts operational, financial, production, procurement, sales, and HR data into clear management decisions and actionable recommendations.

Key Responsibilities

1. Management Intelligence

- Create reliable management visibility through automated dashboards for revenue, margins, EBITDA, cash flow, receivables, payables, inventory, production, capacity, yield, procurement, sales, productivity, and project performance.
- Prepare concise daily, weekly, and monthly management intelligence reports.

1. Operations & Manufacturing Analytics

- Identify and quantify the financial impact of production bottlenecks, yield losses, excessive material consumption, utility inefficiencies, downtime, cost overruns, inventory leakage, process inconsistencies, and quality deviations.
- Develop SKU/product economics covering raw materials, conversion, utilities, labour, packaging, logistics, contribution margin, break-even price, utilization, and scenario analysis.
- Assess commercial viability of products and production campaigns through rapid decision models.

1. Procurement Analytics

- Compare vendor quotations, historical and market prices, lead times, purchase frequency, supplier concentration, price variance, payment terms, and reliability.
- Build supplier scorecards and procurement dashboards.

1. Sales Analytics

- Track leads, opportunities, quotations, follow-ups, samples, trials, conversions, customer revenue, salesperson productivity, lost orders, geography, and product demand.
- Develop sales forecasts and identify high-priority opportunities requiring management intervention.

1. Data Infrastructure





- Consolidate fragmented information from ERP, accounting, CRM, Excel, Google Sheets, emails, procurement, production, QC, inventory, HR systems, and external market databases.
- Reduce disconnected spreadsheets and create reliable centralized datasets.

1. AI & Business Intelligence

- Use AI tools and LLMs to improve data analysis, reporting, forecasting, information retrieval, and management decision support.
- Develop data-driven dashboards and intelligence systems that convert business data into actionable recommendations.

Technical Skills
- Excel
- SQL
- Power BI / Tableau / Looker
- Python
- Data visualization
- Financial modelling
- Statistics
- Forecasting
- Dashboard development
- Data cleaning
- Business analysis
- AI tools and LLMs

Business Knowledge
- Manufacturing economics
- Procurement
- Inventory
- Finance
- Working capital
- B2B sales
- CRM
- Supply chain
- Production planning
- Business KPIs

Qualifications & Experience
- Preferred: B.Tech / B.E.; B.Sc. / M.Sc. in Data Science, Statistics, Economics, Business Analytics, or Finance; or an MBA with strong analytics capability.
- Approximately 1–5 years of experience preferred.
- Exceptional fresh graduates may also be considered.

Performance KPIs
- Accuracy of management data
- Reporting turnaround time
- Automated dashboards delivered
- Cost-saving opportunities identified
- Operational abnormalities detected
- Forecasting accuracy
- Procurement savings
- Working-capital improvements
- Revenue opportunities
- Reduction in manual MIS preparation

Ideal Candidate The ideal candidate should combine strong analytical and technical capabilities with commercial understanding, manufacturing knowledge, and the ability to convert complex business data into clear management intelligence, actionable recommendations, and measurable business improvements.

📌 Business Intelligence Analyst (Chennai)
🏢 Pan Oleo Energy
📍 Chennai