JOB DESCRIPTION
Data Collection and Exploration:

Gathering and cleaning data from multiple sources, including sales transactions, customer interactions, and inventory records.
Exploring and visualizing data to identify patterns, trends, and relationships that can provide valuable insights.
Predictive Modelling and Forecasting:

Building and deploying machine learning models to forecast sales, demand, and inventory levels.
Developing predictive models to optimize pricing strategies, identify customer segments, and personalize marketing campaigns.
Evaluating model performance and iteratively improving model accuracy and efficiency.
Customer Analytics and Personalization:

Analyzing customer behavior data to understand preferences, purchase patterns, and lifetime value.
Implementing recommendation systems and personalized marketing strategies to enhance customer engagement and loyalty.
Operational Efficiency and Optimization:

Applying optimization techniques to improve supply chain management, logistics, and inventory optimization.
Identifying opportunities for process improvement and efficiency gains through data-driven analysis.
Strategic Decision Support:

Providing actionable insights and recommendations to senior management to support strategic decision-making.
Conducting ad-hoc analysis and deep dives into specific business questions or challenges.
Collaboration and Cross-Functional Partnerships:

Collaborating with cross-functional teams, including Retail, Merchandizing, Marketing, E-commerce, Operations, and Finance, to develop and implement data-driven solutions.
Communicating findings and recommendations to stakeholders in a clear and concise manner.
Requirements:

Bachelor degree in Computer Science, Statistics, Mathematics, Economics, or related field.
Proven experience as a Data Analyst, Data Scientist or similar role, preferably in the retail industry.
Strong proficiency in programming languages such as Python or R, as well as libraries and frameworks for machine learning and data analysis.
Experience with big data technologies and Cloud platforms (e.g., GCP,AWS, Hadoop, Spark) is a plus.
Deep understanding of statistical methods, machine learning algorithms, and data mining techniques.
Excellent problem-solving and analytical skills, with attention to detail.
Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Passion for continuous learning and staying up-to-date on the latest advancements in data science and analytics.
LOCATION
India, Bangalore - Office
FULL TIME/PART TIME
Full time

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[ Article by: Nimish Tiwari ]