Product Performance Analyst

Mission:

• To provide insightful analysis of digital product performance through data-driven approaches, leveraging statistical methods, machine learning, and financial expertise to optimize product performance, enhance customer engagement, and deliver actionable insights that drive business success.

Roles & Responsibilities:

• To analyze product performance metrics and KPIs to identify trends and insights, and prepare comprehensive performance reports and data visualizations for stakeholders.
• To provide insight and view about the performance of all CPs, SPs, Digital Products and Services, and platforms in their life cycle for the department and management.
• To analyze digital business performance, compare it with the business plan and budget, and provide feedback to the department.
• To conduct necessary communications with reporting entities such as MKT Data Science, EDW, Finance, etc., to provide needed information/reports for the business and share it with concerned parties.
• To develop the ETL process and handle data source detection for digital platforms.
• To conduct a competitive analysis to understand market positioning and identify opportunities for improvement.
• To leverage various business intelligence tools to create interactive reports and dashboards that provide key insights to stakeholders.
• To analyze complex datasets and case-based information to extract meaningful insights related to product lifecycle and market trends, address incoming queries, and prepare weekly and monthly reports for management.
• To design new data collection models to collect information better and coordinate with the ITS department to implement new models.
• To implement data validation and cleansing processes to ensure data accuracy, consistency, and reliability across all sources.
• To develop and implement machine learning models and regularly assess the efficacy of the models for forecasting product performance and customer behavior.
• To build and maintain efficient data pipelines for pre-processing data, training models, and facilitating the deployment of machine learning solutions.
• To present findings and recommendations to stakeholders through reports and visualizations.
• To keep abreast with the latest developments in data science, machine learning, and analytics best practices.
• To design research methods, utilize analytical skills, and visualize findings to address business requirements.
• To support financial monitoring and profitability analysis for digital products.

Education:

• B.Sc. in Commerce (Marketing / Communication/Management), IT, Industrial or electrical engineering or related

Experience:

• Minimum of 3 years of experience in an area of specialization
• Experience working in a medium organization

Technical Competencies:

• Data Visualization & Presentation
• Software Literacy
• Analytical Skills (SQL, Excel, etc.)
• Proficiency in BI Tools
• Business Intelligence
• Data Engineering
• Big Data Analysis
• Data Analysis
• Machine Learning
• Proficiency in Python or R

Behavioral Competencies:

• Lead with care
• Can-do with integrity
• Serve with respect
• Collaborate with agility
• Act with inclusion