Data Analyst

15 hours ago

Nagpur, Maharashtra, India beBeePricing Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Role Overview">

The key objective of this position is to develop and maintain descriptive and predictive analytics models and tools that support our pricing strategy.

This role will work closely with the Pricing team to translate pricing goals and objectives into data and analytics requirements.

The analyst will utilize both open-source and commercial data science tools to gather and wrangle data, deliver data-driven insights, trends, and identify anomalies.

The analyst will apply suitable statistical and machine learning techniques to answer relevant questions and provide retail recommendations.

Key Responsibilities:
  • Translate pricing strategy and business objectives into analytics requirements.
  • Develop and implement processes for collecting, exploring, structuring, enhancing, and cleaning large datasets from 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 model results accuracy 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 price changes effects.
  • 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 timely completion within scope and aligned with business objectives.
  • Explore and implement new analytical techniques, tools, and industry best practices.
  • 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.
  • Maintain knowledge up-to-date with latest developments in Data Science, Machine Learning, Statistics, and Experimentation Techniques.
Requirements
  • 6-12 years of relevant experience
  • Bachelor's or Master's degree in Engineering/business analytics/Data Science/Statistics/economics/math
  • Primary Skills:
    • 6+ Years of experience in advance quantitative analysis , statistical modeling and machine learning models.
    • Ability to perform various analytical concepts like Regression, Sampling techniques, hypothesis, Segmentation, Time Series Analysis, Multivariate Statistical Analysis,Predictive Modelling.
    • 6+ years' experience in corporate Data Science, Analytics, Pricing & Promotions, Merchandising, or Revenue Management.
    • 5+ years' experience working with common analytics and data science software and technologies such as SQL Python, R, or SAS.
    • 5+ years' experience working with Enterprise level databases (e.g., Hadoop, Teradata, Oracle, DB2).
    • 5+ years' experience using enterprise-grade data visualization tools (e.g.,Power BI , Tableau).
    • 5+ years' experience working with cloud platforms (e.g., GCP, Azure ,AWS).
  • Secondary Skills:
    • Technical expertise in Alteryx and Knime.

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