SR BUSINESS INTELLIGENCE ANALYST

TE Connectivity

4 - 6 years

7 - 11 Lacs

bengaluru

Posted:1 hour ago| Platform:

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Skills Required

business intelligence s3 python plc neural networks ai power bi numpy machine learning pandas deep learning r tensorflow tableau java seaborn data science redshift regression predictive modeling pytorch coaching aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

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 interpretdatasources, manage large amounts ofdata, mergedatasources together, ensure consistency ofdata-sets, create visualizations to aid in understandingdata.
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.
Bachelors or Masters 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.
Bachelors or Masters degree in Data Science.
Team player with a solution-focused, problem-solving mentality.
Change agent with high execution levels, including training and coaching talent

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