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Lead Data Analyst

4 - 7 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

400 million subscribers


About the role:

Lead Data Analyst

In this role, you will take ownership of your deliverables and work directly with cross-functional teams, including Engineering, Marketing, Product, and Customer Experience, to ensure the successful execution of analytics initiatives. You will also be expected to set an example for high-quality execution, share best practices, and mentor junior analysts to build a strong analytics foundation within the team.


Key Responsibilities:

  • End-to-End Analytics Execution:

    Take ownership of data analysis projects, leveraging AI/ML to solve business problems and drive results in sales, billing, payments, and customer experience.
  • Mentorship & Best Practices:

    Lead by example in executing analytics tasks with high quality, sharing best practices, and mentoring junior analysts to build a strong analytics foundation.
  • Collaboration:

    Work closely with cross-functional teams to provide data-driven insights that align with business objectives, ensuring actionable outcomes.
  • AI & Data Insights:

    Apply machine learning models and predictive analytics to identify patterns, improve decision-making, and automate reporting.
  • Problem Solving & Communication:

    Break down complex problems into structured analysis, and communicate insights clearly to the stakeholders.


Preferred Qualifications:

Education

Experience:

Business Knowledge:

Technical Expertise

  • Proficiency in data analysis and visualization tools (e.g., SQL, Python, Pyspark, Tableau, Power BI, Excel)
  • Understanding of ETL pipelines, data warehousing, and cloud-based AI analytics platforms
  • Proficiency in A/B testing, cohort analysis, MECE methodologies, and predictive modelling


AI/ML Knowledge

  • Solid foundation in applying AI/ML techniques (Regression, Random Forest, Boosting techniques) to business data, including predictive analytics and anomaly detection.
  • Basic experience with machine learning tools and frameworks such as Python, Scikit-Learn, or similar
  • Familiarity with Generative AI tools and their application in business intelligence and reporting is a plus
  • Mentorship & Leadership:

    Proven ability to mentor junior analysts and foster a collaborative, learning-oriented team environment.

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