Data Analyst

1 day ago

Dombivli, Maharashtra, India beBeePricing Full time ₹ 2,04,00,000 - ₹ 3,02,40,000
About Us

We are a leading organization that enables an engaging customer experience for our home improvement business.

Our team of experts work across technology, analytics, business operations, finance & accounting, product management, and shared services to deliver innovative solutions.

The Pricing Analytics team plays a crucial role in assisting pricing managers and merchants in defining and optimizing pricing strategies for different product categories across various channels.

  • Translate business objectives into data and analytics requirements to inform our pricing strategy.
  • Develop and implement processes for collecting, exploring, structuring, enhancing, and cleaning large datasets from both internal and external sources.
  • Conduct data validation, detect outliers, and perform root cause analysis to prepare data for statistical and machine learning models.
  • Research, design, and implement relevant statistical and machine learning models to solve specific business problems.
  • Ensure the accuracy of model results and build trust in their reliability.
  • Apply machine learning model outcomes to relevant business use cases.
  • Educate the pricing team on how to effectively interpret and utilize machine learning model results.
  • Assist in designing and executing A/B tests, multivariate experiments, and randomized controlled trials (RCTs) to evaluate the effects of price changes.
  • Perform advanced statistical analyses (e.g., causal inference, Bayesian analysis, regression modeling) to extract actionable insights from experimentation data.
  • Lead and manage analytics projects, ensuring they are completed on time, within scope, and aligned with business objectives.
  • Collaborate with teams such as Pricing Strategy & Execution, Analytics COE, Merchandising, IT, and others to define, prioritize, and develop innovative solutions.
  • Promote future-proof practices and holistic solutions, adopt new tools and techniques, and identify opportunities for enhancing analytical solutions.
  • Keep up to date with the latest developments in data science, machine learning, statistics, and experimentation techniques.

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