Business Development Analyst II

TE Connectivity; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

TE Connectivity in Bengaluru is seeking a high-impact Data Analyst to support commercial decision-making through advanced analytics. The role involves collaborating with stakeholders to drive insights in SKU expansion, inventory health, pricing optimization, and stocking strategy.

Ideal candidates will have a Bachelor's degree in a related field, 2-5 years of relevant experience, and advanced skills in SQL, Excel, and visualization tools like Power BI.

Strong analytical skills and the ability to present insights clearly are essential for this position.

Qualifications

• 2-5 years of experience in data analytics, business analytics, or commercial analytics.
• Proven experience working with large datasets and building structured analytical models.
• Advanced proficiency in SQL and Advanced Excel.

Responsibilities

• Analyze product portfolio gaps and identify SKU expansion opportunities.
• Develop and maintain inventory health models.
• Conduct pricing analyses to identify margin optimization opportunities.
• Design and maintain scalable monthly reporting dashboards.
• Collaborate with cross-functional teams to translate business needs into solutions.

Skills

SQL

Advanced Excel

Power BI

Data Analysis

Education

Bachelor's degree in Engineering, Data Analytics, or a related field

Tools

Tableau

Python

Job description

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

1. SKU Expansion & Portfolio Analytics

• Analyze product portfolio gaps and identify SKU expansion opportunities across categories and regions
• Build models to evaluate SKU productivity, velocity, and whitespace opportunities
• Support prioritization of new SKUs based on demand signals and commercial impact

2. Inventory Health & DOH Optimization

• Develop and maintain inventory health models, including Days on Hand (DOH) tracking
• Identify excess, obsolete, and understocked inventory and recommend corrective actions
• Support initiatives to optimize inventory turns while maintaining service levels

3. Pricing & Inventory Analytics

• Conduct pricing analyses to identify margin optimization and price elasticity opportunities
• Support inventory rationalization and optimization decisions using data-driven approaches
• Partner with category and sales teams to evaluate pricing strategies across distributors and channels

4. Reporting & Analytics Tools

• Design and maintain scalable monthly reporting dashboards and analytics tools (Power BI)
• Automate recurring reporting processes to improve efficiency and data consistency
• Ensure data quality, integrity, and standardization across datasets

5. Business Partnering

• Collaborate with category management, KAMs, product management, pricing and commercial teams to translate business needs into analytical solutions
• Present insights and recommendations in a clear, structured, and executive-ready format
• Support ongoing analytical requests tied to growth initiatives and operational performance

Candidate Desired Profile

Required Qualifications

• Bachelor's degree in Engineering, Data Analytics, or a related field
• 2-5 years of experience in data analytics, business analytics, or commercial analytics
• Advanced proficiency in:
  • SQL
  • Advanced Excel (including data modeling)
  • 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 Bachelor's degree in appropriate field or local equivalent with a minimum of 3 years of progressively responsible professional level experience.