Location: Flexible (remote/hybrid preferred) Role Overview: Your mission: build the foundation for market success by collecting, analyzing, and interpreting all available data on the beverage industry—covering non-alcoholic drinks, market trends, consumer behavior, supply dynamics, pricing patterns, and more. You’ll enable strategic decisions, identify opportunities, and steer product innovation before and during launch. Key Responsibilities: Data Acquisition & Integration Source and ingest structured and unstructured data: sales platforms, market-research databases (e.g., Nielsen, Beverage Digest), social media reviews, competitor pricing, industry reports, supply chain logs, IoT sensor feeds, and more builtin.com+2jobs.barry-callebaut.com+2reddit.com+2. Data Cleaning & Pre‑processing Ensure data quality—remove duplicates, normalize formats, handle missing values, and build robust pipelines for ongoing ingestion and transformation guvi.in. Exploratory Data Analysis (EDA) Explore and visualize industry trends, seasonality, consumer sentiment, price elasticity, shelf performance, etc., using statistical tools and visualization libraries . Model Development & Forecasting Build predictive and prescriptive models: demand forecasting, price optimization algorithms, churn prediction, market sizing, and trend projection arxiv.orgreddit.com+3builtin.com+3careers.beamsuntory.com+3. Sentiment and Text Analytics Analyze consumer reviews and feedback using NLP to gauge sentiment, preferences, emerging flavors, and satisfaction levels. Dashboarding & Reporting Create interactive dashboards (Power BI/Tableau/Looker) and reports summarizing market insights, forecasts, price trends, consumer preferences, and key KPIs reddit.com+2arxiv.org+2reddit.com+2. Strategic Insights & Stakeholder Engagement Translate technical analysis into actionable strategies for founders, marketers, operations, and product teams—e.g., market entry, pricing, promotion. Continuous Monitoring & Innovation Track consumer behavior and market shifts continuously; incorporate new analytical methods (e.g., machine vision, knowledge graphs for food) to deepen insights builtin.com+14jobs.barry-callebaut.com+14careers.beamsuntory.com+14arxiv.org+1arxiv.org+1. Qualifications & Skills: Education & Experience: Bachelor's or Master’s in Data Science, Statistics, Computer Science, Economics, or related field. 3+ years of applied data science experience, preferably in consumer goods, beverages, CPG, or retail en.wikipedia.org+13careers.danone.com+13careers.beamsuntory.com+13builtin.com+3careers.beamsuntory.com+3karkidi.com+3. Technical Skills: Proficiency in Python/R/SQL (libraries like Pandas, NumPy, scikit-learn) careers.danone.com+1shiksha.com+1. Experience with forecasting and optimization techniques (time-series, regression, clustering) jobdetails.nestle.com. NLP or sentiment-analysis experience using modern frameworks. Data visualization and dashboard tools: Power BI, Tableau, Looker arxiv.org+1en.wikipedia.org+1careers.danone.com. Familiarity with cloud platforms (AWS, Azure, GCP) and big‑data tools (Spark, Databricks) . Soft Skills: Strong problem-solving and critical thinking grounded in domain curiosity careers.danone.com. Effective communication—able to present complex insights clearly to non‑technical audiences en.wikipedia.org+15careers.danone.com+15onlineamrita.com+15. Initiative and ownership mindset with strong cross-functional collaboration. Nice-to-Haves: Familiarity with industry data sources (Beverage Digest, Nielsen, IQVIA) takeofftalent.com+14careers.danone.com+14reddit.com+14builtin.com+10en.wikipedia.org+10careers.danone.com+10. Experience in pricing analytics/optimization (transfer learning for new products) jobs.barry-callebaut.com. Knowledge of advanced techniques like machine vision for food quality or knowledge graphs arxiv.org+1arxiv.org+1. What We Offer: A key strategic role in shaping a new beverage venture—every insight you create directly impacts strategy, marketing, product development, and launch decisions. Fast-paced environment with opportunity to build data infrastructure and analytics capabilities from scratch. Competitive compensation, flexible work policies, and opportunities for rapid career growth and leadership. How to Apply: Send your resume plus a brief case study or portfolio link showcasing any relevant analyses or projects—especially anything involving consumer products, beverage trends, or predictive models. Explain how your past work can help shape the success of a beverage start-up. Let me know if you’d like to tweak focus (e.g., consumer insights vs. supply chain), include salary banding, or align with Indian hiring norms. Job Type: Full-time Pay: ₹80,000.00 - ₹100,000.00 per month Benefits: Provident Fund Work Location: In person Application Deadline: 21/06/2025
