Data Analytics - Chapter Lead

Lead and develop the capability of individuals across the chapter, driving analytics strategies and process efficiency, enabling data driven decisions and customer outcomes.

• Deliver Crew and/or COE outcomes within the squad.
• Facilitate the constructive resolution of conflicts which may arise both internally and externally to the Chapter.
• Provide people leadership and management including on boarding, hiring, skill building, career development, coaching, performance management and team engagements for Chapter members, in line with guidance from the Chapter Area and/or Practice.
• Implement and support consistent ways of working across the Chapter.
• Set clear expectations on the guardrails and standards to be applied as defined by the Chapter Area and/or Practice.
• Contribute to the uplift of the Chapter s maturity through SME knowledge and by driving and fostering collaboration across the Chapter to create a culture of sharing, learning and problem solving.
• Seek data and feedback to inform metrics and leverage to support continuous improvement efforts.
  Manage complex analytics projects, overseeing timelines, budgets and ensuring that the team delivers high quality work.
• Apply advanced skills and data analysis techniques to identify trends, patterns and insights that can drive business decisions.
• Implement and monitor technologies, techniques and processes for capturing business intelligence, adjusting business processes both internally and cross-organisationally.
• Utilise tools, techniques and processes for gathering and reporting data.
• Develop and monitor practices and processes to ensure the security, quality, integrity, safety and availability of all forms of data and data structures.
• Establish data governance standards and processes, and ensuring that data is accurate and reliable.

Stay up to date with emerging trends in data analytics, data science and technology and share findings with team.

Essential Skills:

• More than 12+ years of relevant experience.
• Business Analytics
• Data Analysis Tools
• Design Thinking
• Programming Languages
• Quantitative Techniques
• Statistical Analysis and Measurement

Qualification:-

• Bachelor s degree in Engineering Or Master s degree Or Ph.D. in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Physics.