A hybrid role combining
data science
,
business process management
, and
project leadership
. Responsible for leveraging data insights to drive strategic decisions, optimize business processes, and lead data-driven initiatives from concept to execution.

Key Responsibilities:

• 
  Analyze large datasets to identify trends, insights, and opportunities for process improvement.

• 
  Design and implement workflow optimization and automation solutions based on analytical findings.

• 
  Translate complex data into clear, actionable business recommendations.

• 
  Lead cross-functional teams to deliver data-driven projects on time and within scope.

• 
  Apply Lean Six Sigma and Agile methodologies to enhance operational efficiency.

Required Skills:

• 
  Strong proficiency in
  machine learning algorithms
  ,
  statistical analysis
  , and
  data mining techniques
  .

• 
  Experience with
  data visualization tools
  (e.g., Tableau, Power BI) and collaboration platforms like
  Confluence
  .

• 
  Solid understanding of
  business process management
  principles.

• 
  Excellent communication and presentation skills for technical and non-technical stakeholders.

• 
  Proven experience in
  project management
  and cross-functional collaboration