TE Connectivity Hiring for SALES & MARKETING ANALYST III at Bengaluru, Karnataka Full Time

POSITION TITLE: Sr Analyst, Advanced Analytics & Data Science

LOCATION : Bangalore

BU : Industrial

COMPANY

TE Connectivity Ltd. is a $12 billion global technology and manufacturing leader creating a safer, sustainable, productive, and connected future. For more than 75 years, our connectivity and sensor solutions, proven in the harshest environments, have enabled advancements in transportation, industrial applications, medical technology, energy, data communications, and the home. With 80,000 employees, including more than 7,500 engineers, working alongside customers in approximately 150 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com

BU / FUNCTION DESCRIPTION

As one of the largest business units of TE Connectivity, TE Industrial is a leading global solutions provider with a broad portfolio of components and system solutions for clients in various industries. The growing demand for personalized products, a never-ending stream of new market requirements, the need for consistently high product quality, and an increasing interconnectedness make the use of highly advanced production systems a must. TE’s Industrial solutions provide the basis for this flexible production — by helping our customers to become more connected, addressing Smart Factory needs, connect and transmit vast amounts of data quickly, enable connectivity in harsh environments, increase productivity, meet localized manufacturing needs, and realize energy efficiency requirements. Industrial’s primary goals include enabling smarter automation, enabling smarter rail transportation, and empowering intelligent buildings.

Job Description

ROLE OBJECTIVE

The main objective of this role is to provide advanced analytical capabilities and support data science initiatives for global sales & marketing team. This position gains experience in various areas including, but not limited to: predictive modeling; forecasting; natural language processing and text mining; optimization and mathematical programming, inventory and capacity planning, network flows, and supply chain optimization.

Therefore, the person in this role must be an expert in their field and confident in interacting with the stakeholders and proposing solutions.

RESPONSIBILITIES

• Ability to work with large data sets and present findings to key stakeholders;
• Data management using R/Python/Spark/SAS
• Individual and team contributor role in working through project phases:

Determine data requirements to create a model and understand a business problem

Data cleaning, aggregation, analysis, interpretation and quality analysis

Preparing data for predictive/predictive analysis

Develop machine learning models or standard statistical/economic models

Translate model results into business insights. Create a presentation to show these ideas.

• Collaborate closely with other team members, understand dependencies and be agile in adapting according to project requirements
• Support for the development and maintenance of proprietary marketing techniques and other knowledge development projects
• Research advanced and better ways to solve problems than they are normally done and instill new learning in the team

EDUCATION/KNOWLEDGE

BE / B.Tech, Masters in Statistics, Economics

QUALIFICATIONS & EXPERIENCE

7-12 years of work experience in developing and deploying analytical solutions

• Understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, Spark etc.
• Experience on working with visualization tools as Tableau, Spotfire etc.
• Proficient in Excel, MS word, PowerPoint, etc.
• Strong communication, storyboarding and presentation skills is must
• Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network is add-on

OTHERS

• Willingness to work EMEA hours

Competencies

Values: Integrity, Accountability,Teamwork, Innovation