Data Insights Specialist

1 day ago

Noida, Uttar Pradesh, India beBeeAnalyst Full time ₹ 1,04,000 - ₹ 1,30,878

Our team is scaling the analytics backbone that powers a global business platform.

We're looking for a skilled analyst to join our team and turn messy go-to-market data into clear, decision-driving insights. As a Senior Business Analyst, you'll improve forecast accuracy, accelerate pipeline velocity, and reduce churn by collaborating with various teams to move key metrics forward.

Key responsibilities include:

  • Building clean, reusable datasets and semantic layers across customer and product signals
  • Defining metric logic with clear definitions and applying statistical methods where they add signal
  • Productionizing data quality checks, anomaly detection, and alerting so insights flow into weekly operating rhythms without manual chase

You will work closely with Sales leaders, Finance, and Marketing to land metric contracts and action owners. Your skills in data engineering, statistics, and machine learning will enable you to craft compelling narratives and visuals suitable for executives.

Requirements:

  • 5-10 years of experience in SaaS Sales/Revenue Operations analytics with measurable results
  • Proven track record operating across modern data stacks - strong architectural thinking and craft required
  • Education: B.Tech/BE or Advanced degree in Math, CS, or Statistics + MBA or equivalent experience from a reputable institution

Nice to have:

  • Experiment development in go-to-market settings (policy changes, enablement tests, pricing/packaging experiments)
  • Exposure to MLOps concepts (feature hygiene, drift checks, monitoring) and documentation culture (readmes, metric contracts, data dictionaries)

What you bring:

  • Strong SQL skills; experience crafting schemas for analytics and building reliable pipelines/orchestration
  • Comfort with inference and experimentation; regression/time-series; uncertainty communication; translating assumptions into business guardrails
  • Hands-on with supervised learning for classification/regression and survival/retention modelling
  • Ability to map models to money and package insights into crisp, executive-ready narratives

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