





Tier-1 brand, metro locations, senior data role and broad skill requirements increase competition.
Senior data leadership requires domain and technical depth, moderately limiting cross-industry transferability.
Explicit 13+ years, leadership experience, and mandatory technical/cloud/BI skills make screening highly selective.
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Lead and execute the data analytics strategy aligned with business objectives to drive competitive advantage.
Manage multiple complex data analytics projects end-to-end, ensuring timely delivery and measurable business impact.
Oversee advanced analytics including predictive modeling, machine learning, and performance monitoring, while mentoring a team and influencing data governance and architecture.
Bachelor's degree in quantitative field required; Master's degree or MBA highly preferred.
Minimum 13+ years in data analytics or related roles, with 3-5 years in leadership/lead analyst capacity.
Expert-level proficiency in SQL and advanced programming skills in Python or R with relevant analytical libraries.
Proven expertise in business intelligence tools (Tableau, Power BI, etc.) and hands-on experience with cloud data platforms (AWS, Google Cloud, Azure).
Senior-level leader with extensive experience managing complex, enterprise-wide data analytics initiatives and teams.
Strong strategic thinker capable of aligning data analytics efforts with broader business goals and influencing senior stakeholders.
Deep technical expertise combined with superior communication skills to translate complex analytics into impactful business recommendations.