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| Job Location | Bangalore, Chennai, Hyderabad, Kolkata |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Management Consulting / Strategy |
| Functional Area | Statistics / Analytics |
| EmploymentType | Full-time |
Business Analyst with a global edutech firm which is partnered with top-tier universities across the United States, Europe, Latin America, India and China to bring world-class business and professional education to a global audience. You will:- Develop & deliver performance analysis and recommendations for product marketers and business managers- Define channel and category KPIs and goals and develop processes to review and take action to improve performance. Conduct deep-dive analyses into channel trends and performance.- Support team-wide prioritization and planning through impact tracking, opportunity sizing, and goal setting.- Interact regularly with the stakeholders across product, marketing and business teams. Qualifications:- 5+ years of experience in a variety of strategic, analytical and operational roles: you thrive on combining rigorous data-driven analysis, strong business intuition and judgment, and an ability to work well across a variety of teams to solve complex problems, and have done so at a fast-growing technology focussed company. - Strong business acumen, with the ability to translate quantitative data into actionable business insights and recommendations. - Data Fluency: You have experience manipulating and extracting insights from large datasets, and using data to make recommendations and decisions. You have used database languages (e.g. SQL, BigQuery) and visualization tools (e.g. Looker, Tableau) to support your analyses and recommendations.- Strong written and verbal communication skills.- Experience in marketing or product strategy using digital marketing channels to drive growth,
Keyskills :
customer relationsdocumentationrequirementsfunctionalbusiness requirementsstrong business acumenlatin americabusiness acumenproduct strategydigital marketingquantitative data