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Senior Manager - Data Analytics

Senior Manager - Data Analytics

ConfidentialChennai
30+ days ago
Job description

Role and Responsibilities :

  • Collaborate with stakeholders across the organization to identify opportunities to leverage company data for business solutions.
  • Mine and analyze data from company databases to optimize and improve business strategies.
  • Assess the effectiveness and accuracy of data sources and data gathering techniques.
  • Develop custom data models and algorithms tailored to various data sets.
  • Use predictive modeling techniques to enhance business outcomes and efficiency.
  • Work independently or with cross-functional teams to operationalize models and algorithms into software, programs, or operational processes.
  • Coordinate with functional teams to implement models and monitor their performance.
  • Develop tools and processes to monitor model performance and data accuracy continuously.
  • Provide actionable recommendations to business users based on data and model outcomes; implement changes in operational processes, technology, or data management accordingly.
  • Focus primarily on PSCM (Product Supply Chain Management) and VMI (Vendor Managed Inventory) business areas, with secondary focus on ICS KPIs (Inventory Control Systems Key Performance Indicators).
  • Drive business improvements pre- and post-implementation of operational programs, algorithms, models, or software solutions.
  • Measure improvements through time and cost savings, as well as satisfaction scores from business users.

Qualifications and Education :

  • Graduate degree (BSc / BTech) in Applied Sciences, including at least second-year courses in Statistics.
  • Relevant internship experience (minimum 2 months) or certifications in preferred skills.
  • Preferred Skills :

  • Strong problem-solving skills focused on business development and optimization.
  • Proficiency in programming languages such as :
  • R or Python (data cleaning, statistical analysis, modeling libraries).
  • SQL, VBA, and DAX (Power BI) for data querying and reporting.
  • Knowledge of data architecture design and implementation.
  • Familiarity with various machine learning techniques such as clustering, decision trees, artificial neural networks, and understanding their practical advantages and limitations.
  • Experience with advanced statistical methods : regression, distributions, statistical tests, and their correct application.
  • Excellent communication skills, both written and verbal, for effective cross-team coordination.
  • Eagerness to learn and master new technologies and analytical techniques.
  • Additional Responsibilities :

  • Demonstrate a strong personal commitment to Quality, Health, Safety, and Environment (QHSE) standards.
  • Adhere to GET (Global Excellence Team) and Client Company's QHSE policies and safety management systems.
  • Foster a culture of continuous improvement by leading by example to meet and exceed company goals.
  • Skills Required

    Sql, Vba, Dax, Power Bi, Python

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