JOB SUMMARY:
As an Assistant Manager-Analytics , we are seeking highly motivated and technically strong analyst to join the Growth Acquisition analytics function for the Monetization analytics team. Take charge in collaborating with the growth stakeholders to drive analytics behind all A/B experiments, Acquisition Funnel & many more growth initiatives and help monitor and optimize program, channel and communication performance to drive strategic and tactical decision making. In essence, were looking at putting in some serious data-driven brains behind our Growth Acquisition charter!

ABOUT THE TEAM:
The Hotstar Growth Acquisition Analytics team works closely with the Growth business & product teams on improving, growing and sustaining the Subs Base. We work collaboratively on driving insight generation, performance reporting, experimentation and data-based strategies for improving Acquisitions and Revenue on our platform

REPORTING TO: Manager - Analytics

KEY RESPONSIBILITIES:

• Utilize data analysis techniques, research methods, and statistical tools to extract meaningful insights
• Translate data into actionable recommendations for launching successful user acquisition programs
• Develop strong hypotheses, analyze A/B testing results, and provide data-driven recommendations
• Build unsupervised/supervised models to create targeted user segments for various campaigns
• Develop predictive frameworks based on the customer lifecycle to optimize user acquisition efforts
• Share data-driven insights with cross-functional teams to accelerate user growth

SKILLS & ATTRIBUTES FOR SUCCESS:

• Proficient in collecting, organizing, analyzing, and disseminating large datasets with accuracy
• Skilled in crafting clear and insightful reports and dashboards to communicate data effectively
• Possesses exceptional verbal, written, and visual communication skills to present findings to diverse audiences
• Demonstrated experience in utilizing predictive modeling techniques for data-driven insights
• Strong command of SQL and Python for data manipulation and analysis
• Familiar with digital analytics tools and clickstream data interpretation

PREFERRED EDUCATION & EXPERIENCE:

• Graduate degree or equivalent, preferably in Statistics/Operational Research/Mathematics. 4-6 years of professional experience in Business Intelligence/Data Analytics/Modelling. Preferably within a digital business

ABOUT US:

Disney Star is a leading media & entertainment company in India that reaches over 700 million viewers a month in nine different languages. Our entertainment portfolio which cuts across general entertainment, movies, sports, infotainment, kids, and lifestyle content generates over 20,000 hours of original content every year. Disney+ Hotstar, Indias leading streaming platform, enables us to reach and entertain audiences anywhere, anytime. Disney+ Hotstar has changed the way Indians consume their entertainment - from their favourite TV shows and movies to sporting extravaganzas. Join us, and let's continue to inspire a billion imaginations.

WHY JOIN US:



Because our employees and cast members are at the heart of everything we do, Disney offers a competitive total rewards package that includes pay, health and savings benefits, time-off programs, special educational opportunities and more. Together, these rewards make up a comprehensive package that helps our employees grow personally and professionally and take advantage of the special extras that only Disney STAR can offer to make their journey memorable.

Official Company Pages: Disney Star; Disney+ Hotstar | Official Careers:Disney Star Careers; Disney+ Hotstar Careers | LinkedIn:Disney Star; Disney+ Hotstar
Disney Star is an equal opportunity employer. We value diversity at our company and Our mission of Diversity & Inclusion is to create a workplace where everyone can bring their authentic selves to work. We do not discriminate on any ground, including race, religion, caste, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, pregnancy or disability etc.