Product Analyst role at Sony Pictures Networks' Digital Business

Product Analyst role at Sony Pictures Networks' Digital Business - AVOD

Short Description:

The Product Analyst role within Sony Pictures Networks' Digital Business in Bengaluru requires a candidate with 3-5 years of experience in Business Intelligence/Data Analytics, preferably in digital businesses. They will collaborate with product and business teams to generate analytics hypotheses, interpret data, and develop insights for user growth and retention. Strong technical skills in SQL/Hive, Big Query, R, and/or Python are essential, along with expertise in statistical methods and AI/ML models. The ideal candidate demonstrates clear communication, attention to detail, problem-solving abilities, and a positive attitude. Sony Pictures Networks fosters an inclusive workplace culture and has been recognized for its commitment to diversity and employee satisfaction.

Position: Product Analyst – AVOD, Digital Business (2599)

Purpose:

Utilize deep technical skills alongside analytical experience to drive product growth and success through data insights.
Ideal candidate demonstrates scrappiness, independence, action orientation, and enthusiasm for influencing product priorities.

Education:

Graduate degree in Engineering, Statistics, Operational Research, Computer Science, Mathematics, or equivalent experience.

Experience:

3-5 years of professional experience in Business Intelligence/Data Analytics, preferably within digital businesses.

Location:

Bengaluru

Reporting Relationship:

Reports to Head of Product (AVOD), Digital Business

Business/Channel/Function:

Digital

Key Responsibilities:

Collaborate with business & product teams to generate analytics hypotheses, structure solutions, and solve problems.
Interpret data and conduct analysis using analytics, research methodologies, and statistical techniques.
Gain deep understanding of customer journeys and current trends to enhance initiatives.
Dive into data to generate insights for user growth through acquisition and retention.
Develop and maintain automated dashboards to enhance awareness and comprehension of metrics.
Document work using project management tools.
Utilize AI/ML tools to evaluate and enhance recommendation systems and predictive modeling.

Critical Competencies:

Behavioral:

Clear and effective communication of complex analysis results.
Strong attention to detail.
Excellent written and verbal communication skills.
Strong problem-solving, troubleshooting, and collaboration abilities.
Flexibility and multitasking skills in results-driven environments.
Excellent time management.
Collaboration across groups.
Positive attitude and productivity in open environments.

Technical:

Experience with data warehousing concepts and ETL development/tools.
Proficiency in SQL/Hive, Big Query, R, and/or Python.
Experience managing high-scale data.
Solid understanding of common statistical applications and methods.
Familiarity with big data and AI/ML models for predictive modeling and recommendation systems.

Why join us?

Sony Pictures Networks offers leading entertainment channels like SET, SAB, MAX, PAL, PIX, Sony BBC Earth, Yay!, Sony Marathi, Sony SIX, Sony TEN, and more. Our OTT platform, Sony LIV, positions us as a digitally progressive content powerhouse. Studio Next, our independent production venture, has produced original content for TV and digital media.

We promote an inclusive workplace with our Bring Your Own Self Philosophy, recognized as:

India’s Best Companies to Work For 2021 by the Great Place to Work® Institute
100 Best Companies for Women in India by AVTAR & Seramount for 6 consecutive years
UN Women Empowerment Principles Award 2022 for Gender Responsive Marketplace and Community Engagement & Partnership
ET Human Capital Awards 2023 for Excellence in HR Business Partnership & Team Building Engagement
ET Future Skills Awards 2022 for Best Learning Culture in an Organization and Best D&I Learning Initiative.

Our greatest reward is the satisfaction of our employees in telling stories beyond the ordinary!

Please click here to apply.

✖

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