Advanced Analytics Professional

2 days ago

Gurgaon, Haryana, India beBeeBusiness Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Lead Business Intelligence Specialist

We are seeking a highly motivated Lead Business Intelligence Specialist with strong technical expertise, business acumen, and strategic problem-solving abilities.

Job Description:

The ideal candidate will drive analytics strategy, develop frameworks to measure key operational metrics, and translate complex data insights into clear recommendations. They will also work closely with stakeholders across Operations, Data Engineering, and Product to align analytics initiatives with business needs.

Key Responsibilities:
  • Drive business intelligence strategy: Independently own and drive key analytics initiatives in Operations, proactively identifying areas for efficiency improvements and cost optimization.
  • Develop advanced analytics & measurement capabilities: Move beyond basic dashboards and leverage inferential modeling, causal analysis, and experimental design to generate actionable insights.
  • 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: Develop frameworks to measure Turnaround Time (TAT), Cost Per Transaction, SLA adherence, and other key operational metrics, ensuring data-driven 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: Work closely with stakeholders across Operations, Data Engineering, and Product to align analytics initiatives with business needs.
  • Scalability & automation: Partner with Data Engineering to enhance data pipelines, data models, and automation efforts that improve efficiency and reduce manual work.
Required Skills and Qualifications:
  • 5+ years of experience in data analytics, with a focus on Operations, Business Strategy, or Process Optimization.
  • Expertise in SQL, Python, and with a strong ability to work 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.
  • Experience in operations analytics such as workforce efficiency, process optimization, risk modeling, and compliance analytics.
  • 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.
Benefits:

As a valued member of our team, you will have opportunities for growth and professional development, as well as a competitive compensation package.

Others:

Join us in creating a culture of analytical rigor and excellence. If you are a results-driven professional looking for a challenging opportunity, we encourage you to apply.

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