Strategic Data Analyst

7 days ago

Bharatpur, Rajasthan, India beBeePricing Full time ₹ 1,00,00,000 - ₹ 1,50,00,000

About Us

We are a team of data enthusiasts passionate about using analytics to drive business decisions.

Job Summary

This role is responsible for developing and maintaining advanced analytics models and tools that support our pricing strategy. The analyst will collaborate closely with the Pricing team to translate pricing goals and objectives into data requirements.

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 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.
  • Lead the exploration and implementation of 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.
  • Keep up to date with the latest developments in data science, machine learning, statistics, and experimentation techniques.
  • Lead and mentor junior analysts, fostering skill development and growth within the team.

Years of Experience: 6-12 years of relevant experience

Education Qualification & Certifications: Required Minimum Qualifications: Bachelor's or Master's in Engineering/business analytics/Data Science/Statistics/economics/math

Skill Set Required:

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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