Senior Data Analytics Leader

1 day ago

Bengaluru, Karnataka, India beBeeDataAnalyticsLeader Full time ₹ 1,20,00,000 - ₹ 2,00,00,000

This senior leadership role plays a pivotal part in the company's data science team.

You will leverage your extensive experience in solving complex business intelligence and data analytics problems to drive business growth and customer satisfaction.

The ideal candidate has a strong track record of success in managing teams, delivering projects, and driving business outcomes. This is an exceptional opportunity to work on challenging business problems faced by leading global companies.

Responsibilities Include

  • BUILD TRUST WITH SENIOR STAKEHOLDERS THROUGH STRATEGIC INSIGHT AND DELIVERY CREDIBILITY.
  • ABILITY TO TRANSLATE AMBIGUOUS CLIENT BUSINESS PROBLEMS INTO ACTIONABLE BI SOLUTIONS.
  • Oversight of multi-client BI and analytics programs with competing priorities and timelines.
  • Ensure scalable, high-quality deliverables aligned with business impact.
  • Help recruit and onboard team members; directly manage 15 - 20 team members.
  • Own customer deliverables and ensure project schedules meet customer expectations.

Experience and Qualifications

  • 15+ years of overall experience with a minimum of 10+ years in data analytics execution.
  • Strong organizational and multitasking skills with the ability to balance multiple priorities.
  • Highly analytical with the ability to collate, analyze and present data and drive clear insights to lead decisions that improve KPIs.
  • Effective communication and relationship management skills with senior management, other departments and partners.
  • Mastery of BI tools (Power BI, Tableau, Qlik), backend systems (SQL, ETL frameworks) and data modeling.
  • Experience with cloud-native platforms (Snowflake, Databricks, Azure, AWS), data lakes.
  • Expertise in managing compliance, access controls, and data quality frameworks is a plus.
  • Experience working in CPG, Supply Chain, Manufacturing and Marketing domains are a plus.
  • Strong problem-solving skills and ability to prioritize conflicting requirements.
  • Excellent written and verbal communication skills and ability to succinctly summarize key findings.

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