Experience
2 - 7 yrs
Salary (CTC)
₹10L - ₹13.2L
Job Location
Bengaluru, India
Vacancy
1
Designation
Senior Business Analyst
Job Type
ONSITE
Job Description
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
Job Overview 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.
Roles Responsibility - 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.
- 610 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.
- 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.
- Bachelors or masters 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
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