Lead Data Analyst

400 million subscribers

About the role:

Sr

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.

• Seniority Level
• Mid-Senior level
• Industry