Product Analyst - AVOD, Digital Business

Location

Bangalore | India

Job description

The incumbent in this role will need to have deep technical skills to complement their analytical experience. The ideal candidate will be scrappy, independent, action oriented and excited about building data insights to influence product priorities to drive the growth and success of the product

Education: Graduate degree, preferably in Engineering / Statistics/ Operational Research/ Computer Science/ Mathematics or equivalent training or work experience.

Experience: 3-5 years of professional experience in Business Intelligence/Data Analytics. Preferably within a digital business.

Reporting Relationship: Head of Product (AVOD), Digital Business

Business/Channel/Function: Digital

Key Responsibilities:

• Work with the business & product team to drive analytics hypothesis generation, solution structuring, & problem solving.
• Interpret data, analyse results using analytics, research methodologies, and statistical techniques.
• Develop an in-depth understanding of the customer journeys and current trends to improve initiatives.
• Dive deep into data and generate data-based insights to identify opportunities for growth of users through new users and retention
• Build and maintain automated dashboards to drive awareness and understanding of metrics.
• Documentation of work using project management tools.
• Use AI/ML tools for evaluating and improving recommendation systems, predictive modelling

Critical Competencies:

Behavioural

• The ability to clearly and effectively communicate the results of complex analyses
• Strong Attention to detail
• Excellent written and verbal communication skills
• Strong problem solving, troubleshooting and collaboration skills
• Flexibility and ability to multi-task in results-driven environment
• Excellent Time Management
• Cross Group Collaboration
• Positive attitude and ability to work productively in an open environment

Technical

• Experience with data warehousing concepts and ETL development and tools.
• Expertise in SQL/Hive, Big Query, R and/or Python.
• Experience in managing high scale data.
• A solid grasp of common statistical applications and methods.
• Understanding of big data and AI/ML models used for predictive modelling and recommendation systems

Job tags

Salary