Acturail Analyst

Maruti Suzuki India Ltd.; Gurugram District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Maruti Suzuki India Ltd. seeks a skilled professional to excel in predictive sales forecasting, pricing optimization, and customer segmentation. The ideal candidate will hold a Bachelor's or Master's degree in Actuarial Science, Mathematics, or related fields, with 3–10 years of relevant experience. Responsibilities include analyzing historical data for sales predictions and crafting effective pricing strategies to drive profitability. Proficiency in statistical techniques and tools like Excel, SQL, and R/Python is essential, along with strong analytical and problem-solving skills.

Qualifications

• 3–10 years of actuarial, analytics, or quantitative risk experience.
• Exposure to automotive, manufacturing, logistics, insurance, or supply chain analytics preferred.
• Experience working with large datasets and cross-functional teams.

Responsibilities

• Utilize historical data to predict future sales volume and trends.
• Determine the optimal price for various products.
• Segment customers into actionable groups based on profitability.
• Design effective incentive schemes for maximizing sales.
• Evaluate inventory risks across supply chains.

Skills

Statistical modeling techniques

Data analysis

Risk frameworks

Stakeholder management

Analytical mindset

Education

Bachelor’s/Master’s degree in Actuarial Science, Mathematics, Statistics, Economics, Engineering

Actuarial qualification from IAI / IFoA / SOA / CAS

Tools

Excel

SQL

R/Python

Power BI/Tableau

Job description

Key Responsibilities

1. Predictive Sales Forecasting: Utilize historical data and statistical models to predict future sales volume and trends. By analyzing past trends, create models that forecast how various factors (e.g., economic shifts, new regulations, customer behavior changes) will impact future sales. Suggest changes in incentive schemes based on shifts in sales under various heads.
2. Pricing Optimization: Determine the optimal price for various products to balance profitability with competitiveness.
3. Customer Segmentation: Segment customers into actionable groups based on potential profitability and risk.
   Identify customer segments (e.g., young professionals, middle‑age high‑vehicle users, based on cities/towns, income levels) who may need specific products, allowing procurement and sales teams to plan accordingly. Shifts in technology and buying patterns help develop products and change marketing campaigns.
4. Incentive Schemes: Design effective incentive schemes that give the best sales by modelling different incentive scenarios while staying within the company's budgeted figures.
5. Channel Inventory: Develop actuarial models to evaluate inventory risks across parts and accessories supply chains. Reduce obsolescence, demand volatility, and supplier disruptions.

Pricing & Profitability Analytics

Support pricing of parts, accessories, service packages, and logistics services. Analyze contribution margins by SKU, region, channel, and logistics mode. Conduct sensitivity and scenario analysis to guide pricing strategy under inflation and demand uncertainty.

Data, Reporting & Governance

Translate complex actuarial outputs into clear business insights for functional heads. Create dashboards, reports, and KPIs for risk indicators and performance tracking. Ensure compliance with internal risk frameworks.

Education

Bachelor’s/Master’s degree in Actuarial Science, Mathematics, Statistics, Economics, Engineering, or related field.

Actuarial qualification (student, associate, or fellow) from IAI / IFoA / SOA / CAS preferred.

3–10 years of actuarial, analytics, or quantitative risk experience.

Exposure to automotive, manufacturing, logistics, insurance, or supply chain analytics preferred.

Experience working with large datasets and cross‑functional teams.

Technical Skills

• Strong command of statistics, probability, and actuarial modeling techniques
• Proficiency in Excel, SQL, R/Python, Power BI/Tableau
• Familiarity with supply chain metrics, pricing models, and risk frameworks
• Strong analytical and problem‑solving mindset
• Ability to simplify complex data for business audiences
• Stakeholder management and influencing skills
• High attention to detail with business orientation

Key Success Metrics

• Accuracy of cost and risk projections
• Improvement in warranty profitability and reserve adequacy
• Reduction in logistics and inventory risk exposure
• Enhanced pricing effectiveness and margin optimization
• Quality and timeliness of decision support to leadership