ANALYST DATA & INSIGHTS II
TE Connectivity
- Location
- Bangalore, KA, IND, 560076<br/>
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 22 approvals (FY2023)
- Posted
- 9d ago
Skills
About this role
Job Description
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Job Title
ANALYST DATA & INSIGHTS II
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.
Job Overview
We are seeking a data-driven Data Insights Analyst to transform marketing and sales data into actionable insights that drive business growth. The role involves partnering with stakeholders to understand business needs, developing dashboards and visualizations, analyzing performance trends, and delivering data-driven recommendations using analytics, BI tools, and emerging AI/ML technologies. Additionally, the analyst will conduct regular and ad hoc analyses to identify opportunities, optimize business performance, and support strategic decision-making. Roles & Responsibility:
•Problem Solving: Translate complex business and customer challenges into data-driven hypotheses and actionable recommendations. •Insight Generation: Proactively uncover insights that go beyond descriptive analytics to inform strategic marketing and sales decisions. Strong ability to map and analyze the full Buyer’s Journey, connecting marketing metrics, lead funnel stages, and sales performance indicators (e.g., pipeline, conversion, revenue) to drive strategic insights and business impact. i.e - Provide strategic insights across campaign performance, sales funnel activity, and web behavior. •Data Storytelling: Create compelling narratives and intuitive visualizations that simplify complex data and drive stakeholder action. Present data in a compelling, audience-friendly format, with a strong emphasis on storytelling. •Business Intelligence & Reporting: Design, build, automate and maintain end-to-end BI solutions to track marketing performance, campaign ROI, and customer engagement. •AI/ML Application: Apply machine learning techniques (e.g., predictive modeling, clustering, NLP) to forecast behavior and optimize marketing strategies. •Impact Quantification: Use statistical analysis / advanced analytical techniques to measure the impact of marketing initiatives on KPIs such as revenue, retention, customer lifetime value, attribution and A/B testing. •Campaign & Demand Analysis: Evaluate marketing campaigns and demand generation programs to assess their impact on lead generation, customer acquisition, and revenue growth. •Cross-Tactic Data Analysis: Analyze data from CRM, web analytics, social media, email, search, and sales channels etc. to identify optimization opportunities. •Ad Hoc Analysis: Deliver timely, insightful analyses to address specific business