Assistant Manager - Business Analytics

Business Planning and Strategy:

• Work with stakeholders to understand their strategic goals and identify areas where data driven insights can drive business value.
• Collaborate with business stakeholders to understand their analytical requirements and deliver data-driven insights that support decision-making and operational improvements

Viewership Maximization:

• Drive efforts towards maximizing viewership on SonyLIV and ensuring profitability from advertisement business

Create Data and Consumer Driven Culture:

• Create and monitor interactive and automated dashboards to democratise data access to the team to track and monitor their individual business KPIs
• Dashboard adoption: To ensure that dashboards are effectively utilized to generate meaningful reports, and visualizations that provide actionable insights across teams
• Data Management- Collaborate with data engineering team to ensure data from various sources is collected, stored, and maintained in a reliable and accessible manner

Stakeholder Communication:

• Effectively communicate complex analytical findings in a clear and understandable manner, facilitating data-driven discussions and ensuring that insights are used to inform business strategies

• Problem solving ability to understand and solve complex business problems with ease. Must possess the ability to switch between execution and strategy mode effortlessly.
• Ability to see the big picture, visualize the future and develop relevant functional strategies which value add to our business.
• Ability to prioritize and cope with competing demands. Must possess a sense of urgency and excellent execution skills.
• Passion for results and excellence while collaborating with cross-functional teams.
• Inquisitive and analytical mind; out-of-the-box thinking; bring a creative perspective to business problems applying functional expertise, and business understanding.

• Ability to comprehend business problem and write complex queries in SQL to get desired results
• Proficient in data wrangling through python or R
• Experience working on basic Machine Learning algorithms such as Random Forest, Boosting, K Means clustering etc.
• Strong data storytelling skills to effectively communicate insights to business teams
• Strong experience with at least one BI tool such as Tableau, PowerBI, Looker etc.