Chief Operational Insights Officer

4 days ago

Gurgaon, Haryana, India beBeeAnalytics Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Lead Analytics Strategist

Role Overview:

We are seeking a seasoned Lead Analytics Strategist to spearhead data-driven initiatives and drive operational excellence. This pivotal role demands a high degree of technical expertise, business acumen, and strategic problem-solving abilities.

Key Responsibilities:
  • Strategic Vision & Leadership: Develop and execute comprehensive analytics strategies that align with business objectives, driving innovation and process improvements across Operations.
  • Advanced Analytics & Measurement: Utilize advanced statistical techniques, including regression analysis, time-series forecasting, and causal inference modeling, to generate actionable insights and inform data-driven decision-making.
  • Experimentation & Testing: Design and implement A/B tests to measure the impact of operational improvements, optimizing key processes such as fraud detection, customer interactions, and compliance.
  • Operational KPIs & Business Impact: Establish frameworks to measure Turnaround Time (TAT), Cost Per Transaction, SLA adherence, and other key operational metrics, ensuring data-informed decision-making.
  • Data Storytelling & Visualization: Translate complex data insights into clear, actionable recommendations using visual storytelling techniques in Power BI and other visualization tools.
  • Cross-Functional Collaboration: Foster strong relationships with stakeholders across Operations, Data Engineering, and Product to align analytics initiatives with business needs and drive organizational agility.
Requirements:
  • 8+ years of experience in data analytics, with a focus on Operations, Business Strategy, or Process Optimization.
  • Expertise in SQL, Python, and proficiency in working with relational cloud databases (Redshift, BigQuery, Snowflake) and unstructured datasets.
  • Experience designing A/B tests and experimentation frameworks to drive operational improvements.
  • Strong statistical knowledge, including regression analysis, time-series forecasting, and causal inference modeling.
  • Hands-on experience with data visualization tools (Power BI, Tableau, Looker) and the ability to present insights effectively to leadership.
  • Ability to work independently, take ownership of projects, and influence business decisions through data-driven recommendations.
  • Strong problem-solving skills and a proactive mindset to identify business opportunities using data.

Ideal Candidate Profile:

Our ideal candidate possesses exceptional analytical skills, business acumen, and a passion for driving operational excellence through data-driven insights. If you're a motivated and results-driven professional looking to make a meaningful impact, we encourage you to apply.

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