Ring·10 months ago
10 months ago
Senior Data Analyst
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What you'll do
- Extract, clean, and analyze large datasets to identify patterns and trends.
- Develop and maintain dashboards and reports to monitor business performance.
- Work with cross-functional teams to improve data accuracy and accessibility.
- Drive data strategy, customer segmentation, and portfolio risk analysis.
- Contribute to AI-driven product innovations.
What they're looking for
- Education: Bachelor's or Master’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
- Proficiency in Python for statistical modeling, ML algorithms, and exploratory data analysis, with hands-on experience in libraries such as Pandas, NumPy, Matplotlib, Seaborn, and scikit-learn.
- Expert-level SQL capabilities for querying relational databases and performing data extraction and transformation.
- Exposure to Tableau for developing dashboards and generating business insights.
- Strong analytical thinking, with a focus on problem synthesis, root cause analysis, and data storytelling.
- Strong communication and storytelling skills.
Nice to have
- Experience with machine learning, deep learning, and natural language processing (NLP) is preferred.
- Apache Airflow for data workflow automation.
- Cloud computing platforms (AWS, GCP).
- Version control systems (Git, Bitbucket).
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Key Responsibilities:
• Extract, clean, and analyze large datasets to identify patterns and trends.
• Develop and maintain dashboards and reports to monitor business performance.
• Work with cross-functional teams to improve data accuracy and accessibility.
• Drive data strategy, customer segmentation, and portfolio risk analysis.
• Contribute to AI-driven product innovations.
Required skills and Qualifications:
• Education: Bachelor's or Master’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
• Proficiency in Python for statistical modeling, ML algorithms, and exploratory data analysis, with hands-on experience in libraries such as Pandas, NumPy, Matplotlib, Seaborn, and scikit-learn.
• Expert-level SQL capabilities for querying relational databases and performing data extraction and transformation.
• Exposure to Tableau for developing dashboards and generating business insights.
• Strong analytical thinking, with a focus on problem synthesis, root cause analysis, and data storytelling.
• Experience with machine learning, deep learning, and natural language processing (NLP) is preferred.
• Strong communication and storytelling skills.
Optional Familiarity With:
• Apache Airflow for data workflow automation.
• Cloud computing platforms (AWS, GCP).
• Version control systems (Git, Bitbucket).
Company
Ring
Mumbai, India
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