SR BUSINESS INTELLIGENCE ANALYST
Job Posting Title: SR BUSINESS INTELLIGENCE ANALYST
Band/Level: 5-2-C
Education Experience: Bachelors Degree (High School +4 years)
Employment Experience: 7-10 years
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
Roles & Responsibilities
- Lead projects and work together with our Automotive EMIA Operations plants, internal (IT, TEIS, Corporate Technology, CoE, SC, ..) and external partners in the area of Smart Factory (Applications, ML, AI, DL), aligned with Operations Automotive EMIA Strategy.
- Lead Smart Factory improvement projects (Enhancements) of existing applications together with internal / external supplier and customers (project management) until the level of RTD (Ready To Deploy)
- Use a combined knowledge of computer science and applications, modelling, statistics, analytics and maths to solve problems.
- Identify and interpret data sources, manage large amounts of data, merge data sources together, ensure consistency of data-sets, create visualizations to aid in understanding data.
- Develop, Validate and Deploy (including Training and Coaching of the users) until the level of RTD (Ready To Deploy), Digital Factory Applications, ML models, contributing to waste elimination and efficiency improvements within all Operations functions (Manufacturing, Quality, SC, LOG, ….), this together with our internal and external partners.
Desired Candidate
- Good understanding of a technology-driven manufacturing company.
- Knowledge of the core manufacturing technologies: Stamping, Plating, Assembly, Molding.
- Experienced with data visualization tools like Power BI, Tableau, ThingWorx, etc.
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Development experience in programming languages R, Python, etc.
- Knowledge and experience in Java scripting.
- Excellent pattern recognition and predictive modeling skills.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, neural networks, and deep learning.
- Experience with technologies like Jupyter Notebooks, NumPy, Pandas, Seaborn, Scikit-learn, PyTorch, and TensorFlow.
- Exposure to recent developments in Deep Learning, Generative AI, and Agentic AI domains.
- Database skills — both on-premises and cloud-based.
- Experience in AWS is an advantage; functional knowledge of AWS platforms such as SageMaker, S3, and Redshift.
- Excellent presentation skills in both spoken and written English.
- Excellent and strong communicator.
- Ability to translate, explain, and simplify complex data science topics for easy understanding, increasing general acceptance levels.
- Bachelor’s or Master’s degree in Data Science.
- Team player with a solution-focused, problem-solving mentality.
- Change agent with high execution levels, including training and coaching talent
- Good understanding of a technology-driven manufacturing company.
- Knowledge of the core manufacturing technologies: Stamping, Plating, Assembly, Molding.
- Experienced with data visualization tools like Power BI, Tableau, ThingWorx, etc.
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Development experience in programming languages R, Python, etc.
- Knowledge and experience in Java scripting.
- Excellent pattern recognition and predictive modeling skills.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, neural networks, and deep learning.
- Experience with technologies like Jupyter Notebooks, NumPy, Pandas, Seaborn, Scikit-learn, PyTorch, and TensorFlow.
- Exposure to recent developments in Deep Learning, Generative AI, and Agentic AI domains.
- Database skills — both on-premises and cloud-based.
- Experience in AWS is an advantage; functional knowledge of AWS platforms such as SageMaker, S3, and Redshift.
- Excellent presentation skills in both spoken and written English.
- Excellent and strong communicator.
- Ability to translate, explain, and simplify complex data science topics for easy understanding, increasing general acceptance levels.
- Bachelor’s or Master’s degree in Data Science.
- Team player with a solution-focused, problem-solving mentality.
- Change agent with high execution levels, including training and coaching talent
Job Requirements
Competencies
ABOUT TE CONNECTIVITY
TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. 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, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter).
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 Incentives
• Employee Stock Purchase Program
• Community Outreach Programs / Charity Events
• Employee Resource Group
IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.
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.
Bangalore, KA, IN, 560076
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