ANALYST DATA & INSIGHTS II

TE Connectivity

Bengaluru

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+

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Benefits offered by this job

Competitive Salary Package
Performance-Based Bonus Plans
Health and Wellness Incentives
Employee Stock Purchase Program
Community Outreach Programs
Employee Resource Group

Job summary

TE Connectivity is seeking a Data Insights Analyst to transform marketing and sales data into actionable insights. The role involves building dashboards, analyzing trends, and delivering recommendations using analytics, BI tools, and AI/ML techniques.

The candidate will collaborate with stakeholders to understand needs, quantify impact, and support strategic decisions across campaigns and revenue growth. Strong English communication and analytics expertise are essential.

Qualifications

  • 5+ years in data analysis, account management, or BI with cross-functional work.
  • Expertise in analytical modeling, ML methodologies, and data visualization.
  • Translate data into actionable insights with strong storytelling.

Responsibilities

  • Translate business challenges into data-driven hypotheses and recommendations.
  • Uncover insights across marketing, campaigns, and sales funnel to drive decisions.
  • Create intuitive dashboards and visualizations for stakeholders.
  • Partner with data engineers, PMs and marketers to align priorities.

Skills

Data storytelling
Cross-functional collaboration
Stakeholder management
Analytical thinking
Storytelling with data
English communication

Education

University degree (Statistics, Business or Marketing)

Tools

Tableau
Power BI
SQL
Python
Databricks
Excel
PowerPoint
SharePoint

Job description

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 Description:
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 questions or challenges.
  • Cross-functional Collaboration: Work cross-functionally with data engineers, product managers, and marketers to align priorities and timelines.
  • Project Management: Manage multiple projects concurrently with attention to deadlines, scope, and quality.
Desired candidate profile:
EDUCATION/KNOWLEDGE:
  • University degree or college in Statistics, Business or Marketing.
CRITICAL EXPERIENCE:
  • 5+ years in data analysis, account management, or business intelligence, with a strong ability to work across cross-functional teams and senior stakeholders.
  • Expertise in analytical modeling, ML methodologies, and data visualization to elevate our data-driven culture and deliver actionable insights that optimize business performance.
  • Expertise in translating complex data into clear, actionable insights, with strong storytelling and presentation skills.
  • Proven success coalescing, analyzing, synthesizing and contextualizing complex data sets (qualitative and quantitative) to deliver metrics, insights, advanced machine learning / AI analytics, with actionable recommendations
  • Proficient in analytics and visualization tools, including Tableau, Power BI, Databricks, SQL, Python, MS Fabric, Alteryx and Microsoft Office (Excel, PowerPoint, SharePoint).
  • Experience working on data from marketing automation, CRM, and digital analytics. platforms (e.g., Adobe Analytics, Google Analytics Eloqua, Ad platforms, Salesforce).
  • Experience working with data lakes or cloud platforms like AWS/Azure/GCP is a plus.
  • Skilled in qualitative and quantitative research platforms, such as UserZoom and Qualtrics is a plus.
  • Strong understanding of AI-driven insights, including generative and predictive models for business reporting.
  • Exceptional communication and meeting management skills, with fluency in English.
  • Analytical thinker with strong business acumen, able to synthesize data and derive meaningful, strategic conclusions.
  • Collaborative and self-driven, equally effective in team settings or independent roles.
  • Familiarity with statistical analysis, marketing attribution, and predictive analytics is a plus.
Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

ABOUT TE CONNECTIVITY

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.

WHAT TE CONNECTIVITY OFFERS:

We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority!

  • Competitive Salary Package
  • Performance-Based Bonus Plans
  • Health and Wellness IncentivesEmployee Stock Purchase Program
  • Community Outreach Programs / Charity Events
  • Employee Resource Group

Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.

Job Locations:

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: 156156

Workplace Type: Hybrid

External Careers Page: Sales & Marketing

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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