SR. BUSINESS ANALYST
TE Connectivity
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Benefits offered by this job
Job summary
TE Connectivity seeks an experienced Senior Business Analyst to empower decision-making and drive supply chain transformation through data-driven insights. You will build diagnostic, predictive, and prescriptive analytics, partnering with global stakeholders to translate complex data into actionable business recommendations via analytics, BI, and storytelling.
The role requires hands-on analytics across planning, operations, and logistics, with experience in Power BI, Databricks, SQL, Python,
Qualifications
- 6–10 years of experience in Supply Chain/Operations analytics.
- Experience in automotive/manufacturing industry preferred.
- Experience managing analytics projects end-to-end, including requirements and value realization.
- Ability to translate business questions into analytical solutions and insights.
- Experience handling large datasets, identifying trends and governance needs.
Responsibilities
- Analyze Supply Chain KPIs to identify trends, risks, opportunities, and root causes.
- Drive business decisions and supply chain transformation through analytics.
- Design and deploy scalable analytics and AI-enabled solutions that drive value realization.
- Collaborate with stakeholders to understand requirements and deliver analytical solutions.
- Proactively identifying root causes on KPI changes and provide management analysis.
- Develop executive-level summaries and data-driven recommendations for reviews.
- Ensure data accuracy, consistency, and governance across sources.
- Support continuous improvement initiatives through analytics and process optimization.
Skills
Education
Tools
Job description
Posting Start Date: 7/27/26
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
We are looking for a self-driven Analytics professional to support business decision-making and supply chain transformation through data-driven insights. The role involves developing diagnostic, predictive, and prescriptive analytics solutions, partnering with global stakeholders across the end-to-end supply chain, and translating complex data into actionable business recommendations through analytics, BI, and data storytelling.
- Analyze Supply Chain KPIs and identify trends, risks, opportunities, and root causes impacting business performance.
- Accountable for driving business decisions and supply chain transformation through analytics.
- Design and deploy scalable analytics and AI-enabled solutions that drive business decisions and measurable value realization
- Collaborate with business stakeholders to understand requirements and deliver analytical solutions that address business needs.
- Proactively identifying root causes on KPI changes and provide analysis to management
- Communicate with multiple teams to gather information and provide management level summary
- Develop executive-level summaries and data-driven recommendations for management reviews.
- Ensure data accuracy, consistency, and governance across multiple data sources.
- Support continuous improvement initiatives through analytics, process optimization, and business insights.
- Drive analytics projects from problem definition through implementation and benefit realization.
- 6–10 years of experience in Supply Chain Business, Operations domain knowledge, Analytics, Business Intelligence or related fields.
- Experience in automotive/manufacturing industry preferred
- Preferred 4+ years of hands-on analytics consulting or supply chain analytics experience across planning, operations, customer fulfillment, and logistics/delivery use cases.
- Experience managing analytics projects end-to-end, including requirement gathering, stakeholder alignment, solution design, development, testing, deployment, user adoption, and value realization.
- Translate business questions to analytical solutions and insights
- Experience in handling large volumes of data, providing insights, spotting anomalies, identifying trends and complex relationships
- Strong experience in Supply Chain, Manufacturing, Quality, and Sales analytics using Power BI, Databricks, Microsoft Fabric, SQL, Python, and AI/LLM-based technologies to deliver actionable business insights.
- Proven ability to analyze large and complex datasets, identify trends, anomalies, root causes, and business drivers, and translate findings into meaningful recommendations for decision-making.
- Hands-on experience across end-to-end supply chain processes, including demand planning, supply planning, procurement, supplier performance, inventory management, manufacturing operations, customer fulfillment, and logistics.
- Strong technical expertise in SQL, prompt engineering, Python , data extraction, cleansing, automation, feature engineering, and development of scalable analytical datasets and reusable solutions.
- Ability to convert ambiguous business challenges into structured analytical solutions, including problem statements, user stories, process maps, functional requirements, and actionable insights.
- Experience integrating and analyzing data from enterprise platforms such as SAP/ERP, CRM, WMS/TMS, and other operational systems, with a solid understanding of data quality, governance, security, reconciliation, and lineage.
- Experience working in Agile environments, collaborating with cross-functional stakeholders, and leveraging modern analytics and AI technologies to drive continuous business improvement.
- Experience managing analytics projects end-to-end, including requirement gathering, stakeholder alignment, solution design, development, testing, deployment, user adoption, and value realization.
- Strong understanding of Supply Chain processes and performance metrics.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong stakeholder management and communication skills.
- Ability to simplify complex data and communicate insights to business leaders.
- Consulting mindset with a focus on business value creation.
- Hands-on experience leveraging AI/LLM technologies, Copilot, prompt engineering
- Self-motivated, proactive, and capable of working independently in a global environment.
- Bachelor’s or master’s degree in engineering, Computer Science, Statistics, Data Analytics, Supply Chain, Operations, or a related field.
- MBA or advanced analytics certification is an advantage.
- Willingness to work with global teams across multiple time zones.
- Continuous learning mindset with interest in emerging analytics and AI technologies.
Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.
Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn (https://www.linkedin.com/company/te-connectivity/) ,Facebook (https://www.facebook.com/teconnectivity/) ,WeChat, (http://www.te.com.cn/chn-zh/policies-agreements/wechat.html) Instagram andX (formerly Twitter). (https://twitter.com/TEConnectivity)
- Competitive Salary Package
- Performance-Based Bonus Plans
- Health and Wellness Incentives
- Employee Stock Purchase Program
- Community Outreach Programs / Charity Events
- Employee Resource Group
Doraisanipalya, J.P Nagar, 4th Phase, Bannerghatta Road
Bangalore, Karnātaka 560076
India
Posting City: Bangalore
Job Country: India
Travel Required: Less than 10%
Requisition ID: 156063
Workplace Type: Hybrid
External Careers Page: Information Technology
TE Connectivity and its subsidiaries, affiliates, and operating units (collectively, the "Company") is committed to providing a work environment that prohibits discrimination on the basis of age, color, disability, ethnicity, marital status, national origin, race, religion, gender, gender identity, sexual orientation, protected veteran status, disability or any other characteristics protected by applicable law or regulation.
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