freehire launches on Product Hunt on 26 August.

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Process Manager

Open 33d

Job Summary

We are looking for a Senior Analytics professional with strong expertise in SQL, Python, and data analytics to drive business insights, reporting, and data-driven decision-making. The ideal candidate should have experience working with large datasets, building analytical solutions, and collaborating with business stakeholders, preferably within the eCommerce, Retail, or Digital business domain.

Key Responsibilities

  • Analyze large and complex datasets to identify trends, patterns, and business opportunities.
  • Develop dashboards, reports, and KPIs to support business decision-making.
  • Write optimized SQL queries for data extraction, transformation, and analysis.
  • Utilize Python for data manipulation, statistical analysis, automation, and predictive modeling.
  • Partner with business teams to understand requirements and translate them into analytical solutions.
  • Perform ad-hoc analysis and present actionable insights to stakeholders.
  • Build and maintain data pipelines and analytical frameworks.
  • Monitor business performance and recommend improvements based on data insights.
  • Collaborate with Data Engineering and Product teams to enhance data quality and accessibility.

Required Skills

  • Strong proficiency in SQL (Joins, CTEs, Window Functions, Query Optimization).
  • Hands-on experience with Python (Pandas, NumPy, Matplotlib, Scikit-learn).
  • Experience with BI and visualization tools such as Tableau, Power BI, or Looker.
  • Strong understanding of statistics, experimentation, and data analysis techniques.
  • Experience working with cloud platforms such as AWS, GCP, or Azure.
  • Excellent problem-solving and stakeholder management skills.

Preferred Skills

  • Experience in eCommerce, Retail, Marketplace, or Digital Analytics.
  • Knowledge of customer analytics, marketing analytics, pricing analytics, or product analytics.
  • Exposure to machine learning and predictive analytics.
  • Experience with ETL processes and data warehousing concepts.