Job Overview

We are seeking a high-impact Data Analyst to support commercial and category management decision-making through advanced analytics. This role will partner closely with the Senior Analyst and cross-functional business stakeholders to drive insights across SKU expansion, inventory health, pricing optimization, and stocking strategy.

The ideal candidate combines strong technical analytics capabilities with business acumen, translating complex data into actionable insights that directly influence growth, profitability, and inventory efficiency.

Responsibilities

- SKU Expansion Portfolio Analytics: Analyze product portfolio gaps and identify SKU expansion opportunities across categories and regions
- SKU Expansion Portfolio Analytics: Build models to evaluate SKU productivity, velocity, and whitespace opportunities
- SKU Expansion Portfolio Analytics: Support prioritization of new SKUs based on demand signals and commercial impact
- Inventory Health DOH Optimization: Develop and maintain inventory health models, including Days on Hand (DOH) tracking
- Inventory Health DOH Optimization: Identify excess, obsolete, and understocked inventory and recommend corrective actions
- Inventory Health DOH Optimization: Support initiatives to optimize inventory turns while maintaining service levels
- Pricing Inventory Analytics: Conduct pricing analyses to identify margin optimization and price elasticity opportunities
- Pricing Inventory Analytics: Support inventory rationalization and optimization decisions using data-driven approaches
- Pricing Inventory Analytics: Partner with category and sales teams to evaluate pricing strategies across distributors and channels
- Reporting Analytics Tools: Design and maintain scalable monthly reporting dashboards and analytics tools (Power BI)
- Reporting Analytics Tools:



Automate recurring reporting processes to improve efficiency and data consistency
- Reporting Analytics Tools: Ensure data quality, integrity, and standardization across datasets
- Business Partnering: Collaborate with category management, KAMs, product management, pricing and commercial teams to translate business needs into analytical solutions
- Business Partnering: Present insights and recommendations in a transparent, structured, and executive-ready format
- Business Partnering: Support ongoing analytical requests tied to growth initiatives and operational performance

Candidate Desired Profile Required Qualifications
- Bachelors degree in Engineering, Data Analytics, or a related field
- 25 years of experience in data analytics, business analytics, or commercial analytics
- Advanced proficiency in SQL
- Advanced proficiency in Excel (including data modeling)
- Advanced proficiency in Visualization tools (Power BI / Tableau)
- Proven experience working with large datasets and building structured analytical models

Preferred Qualifications
- Proficiency in Python (pandas, numpy) or similar tools for data analysis and automation
- Experience in inventory planning, pricing, or commercial analytics
- Exposure to distributor/channel business models or product portfolio analytics

Core Competencies
- Strong analytical and problem-solving skills
- Ability to translate data into actionable business insights and recommendations
- High attention to detail with a focus on data accuracy and quality
- Effective communication and stakeholder management skills
- Ability to work independently while collaborating within a cross-functional or global team

What your background should look like Generally requires Bachelors degree in appropriate field or local equivalent with a minimum of 3 years of progressively responsible professional level experience

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

📌 Business Development Analyst II (Bengaluru)
🏢 TE Connectivity
📍 Bengaluru