Data-Driven Pricing Expert

1 week ago

Bengaluru, Karnataka, India beBeePricing Full time ₹ 60,00,000 - ₹ 80,00,000
Lead Pricing Analyst

About the Role:

Leverage your analytical skills to drive business growth and revenue optimization.

This role focuses on developing descriptive and predictive analytics models to support pricing strategies.

Collaborate with cross-functional teams to define and optimize pricing goals.

Utilize data and analytics tools to deliver insights, identify anomalies, and inform business decisions.

Apply statistical and machine learning techniques to answer complex questions and provide actionable recommendations.

Work closely with product and business teams to drive continuous improvement and ensure a best-in-class position in pricing.

Key Responsibilities:

  • Translate pricing strategy into analytics requirements.
  • Develop processes for collecting and exploring large datasets from internal and external sources.
  • Conduct data validation, detect outliers, and prepare data for statistical and machine learning models.
  • Research and implement relevant models to solve business problems.
  • Ensure model accuracy and build trust in reliability.
  • Apply machine learning outcomes to business use cases.
  • Educate stakeholders on interpreting and utilizing machine learning results.
  • Assist in designing and executing A/B tests, multivariate experiments, and RCTs to evaluate price changes.
  • Perform advanced statistical analyses to extract actionable insights from experimentation data.
  • Lead analytics projects to completion within scope and aligned with business objectives.
  • Explore and implement new analytical techniques, tools, and industry best practices.
  • Collaborate with teams to define, prioritize, and develop innovative solutions.
  • Promote future-proof practices and holistic solutions.
  • Stay 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.

Qualifications:

  • Bachelor's or Master's degree in Engineering, Business Analytics, Data Science, Statistics, Economics, or Math.
  • 6+ years of experience in advanced quantitative analysis, statistical modeling, and machine learning.
  • Proficiency in common analytics and data science software and technologies such as SQL, Python, R, or SAS.
  • Experience working with Enterprise-level databases (e.g., Hadoop, Teradata, Oracle, DB2).
  • Experience using enterprise-grade data visualization tools (e.g., Power BI, Tableau).
  • Experience working with cloud platforms (e.g., GCP, Azure, AWS).

What We Offer:

A dynamic and collaborative work environment that fosters growth and innovation.

Opportunities for professional development and advancement.

Competitive compensation and benefits package.

Collaborative and diverse team environment.

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