Manager Data & Analytics

Requisition ID:  2482
Location:  Bangalore, KA, IN, 560070
Alternative Locations: 
Education Experience:  -
Employment Experience:  -
Travel:  None

Company Information

TE Connectivity (NYSE: TEL) is a $12 billion global technology leader. Our connectivity and sensor solutions are essential in today's increasingly connected world. We collaborate with engineers to transform their concepts into creations - redefining what's possible using intelligent, efficient and high-performing TE products and solutions proven in harsh environments. Our 72,000 people, including over 7,000 engineers, partner with customers in over 150 countries across a wide range of industries. We believe EVERY CONNECTION COUNTS -

TE Automotive is one of the leading providers of advanced automobile connectivity solutions. We enable nearly every electronic function in the car -- from alternative power systems to infotainment and sensor technologies - all in a harsh environment. No matter which technology path OEMs choose to innovate for the connected car, we're committed to helping our customers meet evolving challenges and requirements.

Job Overview

TE Connectivity's Business Development Teams identify, develop, and implement near-term and long-term business development strategies relating to the development of new products, technologies and services. They identify markets and determine the feasibility of business and product development. Our Teams perform economic analyses on new or improved product opportunities, develop business models and determine market trends to substantiate long-term prospects.

Responsibilities & Qualifications

  1. Translating a complex strategic challenge into relevant analytic framework(s):
    • Setup and lead meetings to gather business requirements using interviews and questionnaire.
    • Ask probing questions to understand business intent and how the end-results will be used. Surface implicit assumptions by the business user. Agree on template end-deliverables.
    • Perform due diligence to ensure data is obtainable for the analysis required, and the analysis can be completed in the timeline requested.
    • Create a short project management plan defining the scope (number and type of analyses, assumptions) and timeline.
  1. Building partnerships with multiple functions globally.  
    • Work closely with TE international business functions located in Europe (Sales, Customer Service, Marketing, Product Management & Manufacturing) and with IT organization located in US.
    • Identify and drive realization of cross-BU opportunities through conducting experiments and pilots.
  1. Gathering, cleaning and structuring existing data:
    • Identify relevant data sources (from data warehouses, CRM, ERP, web logs, business intelligence, partner data sources, research reports, surveys, and interviews).
    • Determine appropriate analytic approach (e.g. skim relevant data or creation of structured database for manipulation, etc.)
    • Where required, pull data into analytic environment using Oracle, SQL, Hadoop, Access or Excel.
    • Where relevant, clean and structure data to facilitate analysis.
  2. Formulating hypotheses for testing and designing experiments to capture new data:
    • Identify practical approach to test and learn key hypotheses to extend analytic insight.
    • Design, implement and manage new approaches for data capture, including sensors data from machines, External data from Market place.
    • Leverage new data and/or experiment results to extend analytic frameworks/algorithms.
  3. Applying appropriate decision technology tools, algorithms and methodologies:
    • Identify appropriate decision technology techniques to apply to relevant analytic frameworks. Examples of decision technology tools that may be used include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, etc.
    • Set up model and conduct analyses using tools using Tableau, R, Python, Azure ML,, SAP BoBJ.
    • Document steps, data sources. Ensure models are easily understandable and maintainable.

Tasks Summary & Responsibilities: A rigorous understanding of the fundamentals of statistics applied to business challenges and microeconomics is required.

  • 10-15+ years of experience in data analysis, business development or corporate strategy with heavy emphasis on data driven decision making is required.
  • Ability to lead and develop staff
  • Strong proficiency in Excel, SQL, and Any of statistical tools.
  • Require strong undergraduate and/or graduate degree in STEM disciplines (Science, Technology, Engineering, Math) or in other disciplines with heavy focus on statistics. Quantitative-oriented
  • MBA desired.
  • Familiarity with decision techniques including optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, is preferred.
  • Strong business acumen; sound business-sense and judgment.
  • Demonstrated leadership competencies such as teamwork, creative problem solving, flexibility and willingness to challenge the status quo


  • Motivating Others
  • Building Effective Teams
  • Managing and Measuring Work
  • Values: Integrity, Accountability,Teamwork, Innovation
  • SET : Strategy, Execution, Talent (for managers)


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