Senior BI Analyst (SH)

WHAT YOU WILL DO

• Deliver end-to-end data-driven product incubation by collaborating with Product Management to gather and prepare data/features, analyze data using programming/statistical languages (e.g., R, Python), generate insights, and select and deploy Machine Learning models to address business opportunities.
• Interact cross-functionally and make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) through effective presentation of findings to various stakeholder levels using clear data visualizations.
• Conduct analysis including data gathering, requirement specification, data processing, ongoing reporting deliverables, and presentations.
• Process, cleanse, and verify the integrity of data used for analysis.
• Mine data to uncover important information and insights, and present results in a clear and concise manner.
• Solve complex, non-routine analytical problems using advanced analytical methods as needed.
• Build and prototype analytical pipelines iteratively to generate insights at scale.
• Develop in-depth knowledge of the company’s data structures and metrics, and advocate for necessary changes to support product development.
• Ensure strict adherence to development and quality standards.
• Write clear and concise model documentation and support findings with sound reasoning.
• Share best practices and case studies to help improve overall data literacy across the team.
• Collaborate with Product Management and Engineering teams to drive product development.

REQUIREMENTS

• Degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent practical experience.
• 3–5 years of experience in analytics or a related field.
• Strong expertise and hands-on experience in statistical analysis, machine learning modeling, and data visualization.
• Demonstrated experience working with large and complex datasets.
• Fluent in SQL, R, and Python.
• Familiarity with BI tools such as Qlik, Tableau, and Metabase.
• Demonstrated leadership and self-direction; willingness to teach others and learn new methods.
• Experience with agile development methodology.
• Effective written and verbal communication skills.

GOOD TO HAVE

• Advanced degree in a quantitative discipline.
• Specialized knowledge in time series analysis, deep learning, NLP, and graph analytics.
• Experience in deploying machine learning models as cloud-native or containerized applications.
• Proven experience or demonstrated capability in leveraging AI models to address real-world business challenges.