Key Responsibilities:

Design, develop, and maintain customer master data structures and databases, integrating advanced analytical models to enhance data insights.

Ensure the accuracy, completeness, and relevance of customer data through robust validation processes and data cleansing techniques.

Collaborate with cross-functional teams, including data scientists and business analysts, to gather data requirements and implement strategies that enhance data quality and usability.

Implement and advocate for data governance policies and practices, managing the customer data lifecycle while leveraging statistical analysis.

Conduct in-depth data quality assessments, employing data science techniques to identify trends and resolve data-related issues swiftly.

Utilize data management tools and data science platforms (e.g., Python, R) to streamline data processes and drive decision-making through predictive analytics.

Qualifications & Experience:

Internship experience in data management with a specific emphasis on customer data and its applications in data science.

Strong understanding of data modeling concepts and database design principles, with experience in machine learning model integration.

Familiarity with Master Data Management systems and data integration methodologies, particularly in cloud environments.

Proficiency in SQL, with advanced knowledge in data manipulation and data analytics tools (e.g., Pandas, NumPy).

Experience with data governance frameworks and tools, alongside familiarity with data science methodologies.

Strong analytical, problem-solving, and critical-thinking skills, with the ability to derive actionable insights from complex datasets.

Fresh graduates considered with Data science background having experience in building data models during their internship.

Graduates should have experience working on Python and R as a programming language.

Preferred Skills:

Knowledge of data visualization tools (e.g., Tableau, Power BI) for presenting data-driven insights.

Excellent communication and interpersonal skills for effective stakeholder interaction and collaboration.