- Handle large datasets, using tools like SQL, PowerBI, Tableau.

- Summarize the data and analyze results formulate, review, and present conclusions, recommended action plans.

- Help shape and priorities the requirements backlog based on strategic initiatives.

- Work collaboratively with multiple stakeholders.

- Help data backed decision.

Desired Candidate Profile & Education Qualification :

- Bachelors degree in computer science / data science / business Analytics / or other analytically focused programs preferred:.

Industry Preference :

- Consulting / Airlines / ECommerce.

Years of Experience :

- 8 +Years.

- Expert in Business Communication, Analytics, Problem-solving, Good Personnel management and strategic thinking.

- Demonstrated experience working with PowerBI, Power Query, R/Python, Tableau, MS Office, MS Powerpoint.

- Proven ability to independently perform quantitative analysis & hypothesis testing.

- Effective communication skills for conveying insights and recommendations to both technical and non-technical audiences.

- Demonstrated track record of effectively managing high-visibility analytics projects.

- Experience with predictive analytics, machine learning, or statistical modeling is a plus.

- Transition regular and operational reporting into self-service solutions and promote the on-going usage.

- Translate business issues in hypotheses, identify the most appropriate analysis techniques, set up experiments to test hypotheses empirically, and translate findings in actionable insights.

- Use a range of mathematical concepts, statistical analysis, experience, and industry knowledge techniques to shape the analytics, recommending and delivering the best approach to solve the business problem.

- Apply storytelling techniques and approaches to tailor and communicate operational and strategic insights to stakeholders.

- Simplify the message or narrative into easy to comprehend data views and commentary.

- Define and deliver metrics, dashboards, and analytical models vital for tracking and managing.

- Experience working with Data Lake/Mart, Business Intelligence tools and CRM.