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:

Bachelor's degree in Commerce (Marketing/Communication/Management), IT, Industrial or Electrical Engineering, or a related field.

Experience:

At least 3 years of experience in an area of specialization.Experience working in a medium-sized 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.