Lead - Data Analytics

Data Science and Analytics

• Manage the data and analytics team
• Ownership of data science related decisions
• Usage of machine learning tools
• Focus on building intelligence
• Managing data engineering for MCSL
• Code heavy type of profile
• Tracking of data and progress
• Ownership of data from multiple entities
• Decide the frequency of tracking
• Evaluate the tools and tech to be used
• Manage budget proposals
• Decide on the various platforms to be used
• Manage IT Infrastructure cost like cloud space and support required
• Building a central data warehouse
• Automation of systems from manual sources
• Overviewing Bots with human intervention
• Complete automation of reporting systems
• Manage the data analytics platform
• Identify patterns and provide interventions on data

Team management.

Strategic leadership.

Preferred candidate profile

Master in Statistics / MBA (preferably with Engineering background)

• 8+ years of experience

  in data analytics, data science, business intelligence, or a related field, with at least

  5 years in a leadership role

  .
• Strong expertise in

  SQL, Python, R

  , and experience working with

  cloud-based data platforms

  (AWS, GCP, Azure).
• Proven experience in

  big data technologies, machine learning models, and AI applications

  .
• Hands-on experience with

  BI tools

  (Tableau, Looker Studio, Power BI) and

  data visualization techniques

  .
• Strong understanding of

  statistical modelling, predictive analytics, and data mining techniques

  .
• Experience leading

  high-impact, cross-functional projects

  , with a proven track record of driving business results using data.
• Excellent

  leadership, communication, and stakeholder management skills

  , with the ability to influence decision-making at the executive level.
• Background in

  financial services, technology, or a related industry

  is a plus