Data Science Analyst

Data Science Analyst--Bangalore, Karnataka, India

• Deliver actionable insights by collecting, mining, and analyzing complex data sets to drive business decisions and growth.
• Apply data science, machine learning, and artificial intelligence including emerging Generative AI tools and techniques to solve real-world business challenges.
• Stay current with the latest technologies (Gen AI, LLMs, cloud-native analytics) and leverage them to enhance our analytics capabilities.
• Collaborate with stakeholders to define goals, select KPIs, monitor performance, and identify trends and opportunities.
• Identify, design, and implement data process improvements, such as automating manual workflows, optimizing data infrastructure for scalability, and enhancing data delivery.
• Diagnose system deficiencies and recommend practical, effective solutions.
• Partner with IT and business teams to shape analytics and technology roadmaps aligned with strategic objectives.
• Champion a data-driven culture, working with analytics and commercial experts to maximize the value of our data assets.
• Provide robust data foundations for insights across Operations/Supply Chain, Marketing, Finance, Commercial, and more.

The Person:

• 2+ years experience in data science, advanced analytics, or a related field
• Bachelor's degree in a technical field such as Computer Science, Statistics, Mathematics, Data Science, Engineering, Machine Learning, or a closely related discipline
• Excellent communication skills (written & spoken), with the ability to explain complex concepts to non-technical audiences
• Strong problem-solving abilities: You approach challenges analytically and creatively, using data-driven methods to identify root causes and develop effective solutions. You are comfortable tackling ambiguous problems and breaking them down into actionable steps.
• Python expertise: Highly proficient in Python for data analysis, modeling, and automation, with the ability to write clean, efficient, and well-documented code.
• SQL proficiency: Strong skills in SQL for querying, manipulating, and managing large datasets across different database systems.
• Good coding skills: Comfortable with general programming concepts, version control (e.g., Git), and collaborative codebases.
• Experience developing and tracking Sales, Marketing, Finance, and Commercial metrics
• Expertise in Financial Modeling, Sensitivity Analysis, and A/B Testing
• Hands-on experience with cloud platforms (Snowflake, AWS, GCP, Azure) and modern data architectures
• Proficiency with Data Mining and ETL tools (SQL, Python, R, db2, Alteryx, Knime, etc.)
• Experience designing and implementing real-time data pipelines and handling streaming data
• Proficiency with data visualization tools such as Power BI, Tableau, or similar platforms to communicate insights effectively
• Familiarity with Generative AI, Large Language Models (LLMs), and their business applications (you don't need to be an expert, but you should be comfortable using and learning about these technologies)
• Experience with Forecasting, Risk Modeling, Product Portfolio Optimization, Market Mix Modeling, LTV Modeling, and Financial Forecasting

Nice to Have:

• Experience in Manufacturing, CPG, or Retail sales environments
• Software development skills, including source code management (GitHub, BitBucket, Azure DevOps Repos, etc.)
• Experience with MLOps, model deployment, and monitoring in production environments
• Familiarity with data privacy, security, and responsible AI practices

What You'll Receive:

• Competitive salary and comprehensive benefits
• Opportunities for professional growth and career advancement across our 20+ global brands
• Access to world-class learning resources, including Lean Academy, Coursera, and our online university
• A diverse, inclusive, and respectful workplace culture
• Opportunities to give back through volunteerism and sustainable business practices

And More: