Data Insight Strategist

3 days ago

Thāne, Maharashtra, India beBeeAnalytics Full time ₹ 20,00,000 - ₹ 25,00,000
Analytics Director

The Analytics Director will lead strategic initiatives to optimize operational efficiency, customer experience, and business outcomes in a contact center environment.

This role requires vision and oversight of analytics projects, collaboration with cross-functional teams, and the ability to translate insights into actionable improvements.

Lead high-impact analytics projects, ensuring alignment with business objectives and measurable outcomes. Collaborate with CX, Sales, and innovation teams to identify data-driven opportunities for process optimization, cost reduction, and revenue growth.

Develop and present compelling business cases, leveraging data insights to justify improvement initiatives. Design and implement Customer Journey Maps and Process Maps to drive optimized, future-state experiences across People, Process, Data, and Technology.

Create engaging, data-rich visualizations (slides, charts, dashboards) for stakeholders at all levels. Proactively manage project risks, maintain risk registers, and escalate issues as needed. Monitor project progress from ideation through benefits realization, ensuring KPIs are met.

Mentor and guide junior team members, fostering a culture of continuous improvement and data-driven decision-making.

Requirements
  • Minimum - 7 years of experience in Data & Analytics, Data Sciences, Process Excellence, or Delivery Innovation, with at least 3 years in a senior leadership or management role within a contact center or telecommunications environment.
  • Proven track record of delivering measurable results through data-driven initiatives, including cost savings, revenue growth, or customer satisfaction improvements.
  • Extensive experience leading cross-functional teams and managing complex, high-stakes projects with multiple stakeholders.
  • Experience with using and modeling data on BI tools such as Power BI, Tableau etc.
  • Prior experience in developing and executing data-driven strategies for customer experience optimization, such as reducing average handle time, improving Sales, or enhancing self-service adoption.
  • Experience managing end-to-end project lifecycles, from opportunity identification and business case development to implementation and benefits tracking.
  • Advanced proficiency in Excel and PowerPoint for data analysis, visualization, and stakeholder communication.
  • Expertise in system/data analysis and data interrogation, with strong skills in SQL for querying and manipulating large datasets.
  • Proficiency in Python or R for advanced data analysis, statistical modeling, and automation of analytical processes.
  • Hands-on experience with Power BI, Tableau, or similar BI tools for creating interactive dashboards and reports with real-time data integration.
Benefits
  • Strong knowledge of Lean Six Sigma and Agile methodologies (Scrum). Experience applying contemporary process improvement frameworks to achieve operational excellence.
  • Bachelor's degree in data science, Business Analytics, Statistics, Computer Science, or a related field.

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