Key responsibilities
- Act as a bridge between business and digital teams, collaborating with analysts, product managers, engineers, and stakeholders
- Deliver data-driven insights by combining statistical analysis, data manipulation, and business acumen
- Design and maintain dashboards and KPIs using Power BI
- Perform autonomous data analysis using SQL and Python
- Partner with data engineers to define scalable data models and automate data workflows
- Apply data science techniques and explore LLMs to enhance analytical capabilities
- Present findings to peers and leadership in a clear, actionable format
- Adhere to data governance and analytics best practices
- Support assigned projects with relevant data inputs
- Mentor junior analysts and contribute to team development
Required Qualifications
Bachelor's degree in Data Science, Computer Science, Statistics, or related field5–7 years of experience in data analysis or business intelligenceProficiency in , BI Tools, Power BI, SQL, and PythonExperience in dashboarding, metrics tracking, and performance monitoringExpertise in Statistical analysis and Machine Learning tools and techniques like Regression, SVM, Random Forest etc.Strong analytical, problem-solving, and communication skillsAbility to work independently and in cross-functional teamsCommitment to continuous learning and improvementDesired Qualifications
Experience with cloud platforms (e.g., Azure, AWS, GCP)Familiarity with machine learning libraries (e.g., pandas, scikit-learn)Exposure to LLMs and their practical application in data analysisKnowledge of data governance, compliance, and best practicesShow more
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Skills Required
Statistical Analysis, Machine Learning, Pandas, Power Bi, Svm, Regression, Sql, Random Forest, Python