Assistant Manager - Data Analytics

This role requires a strategic thinker with a strong understanding of data analytics, business intelligence, and the ability to work in a high-performing sales team.
Key Responsibilities• 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 decisionDesired Candidate Profile & Education Qualification• Master’s degree in computer science / data science / business Analytics / or other analytically focused programs• Industry Preference: Consulting / Airlines / E- Commerce• Years of Experience: 4-8 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.Experience working with Data Lake/Mart, Business Intelligence tools and CRM• 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, setup 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

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