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
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
We are looking for a highly organised, proactive and detail-oriented professional to join our finance team as the Debtor Management & Reporting Executive. In this role you will be responsible for monitoring and managing receivables, rigorous reconciliation of debtor accounts, proactive follow-up, and preparing outstanding and other management reports which aid the sales team and senior management. You will work closely with the sales department, finance team and external parties to ensure timely collection, accurate account status and clear visibility into debtor health. Key Responsibilities Manage the full lifecycle of debtor/accounts-receivable management: generation of invoices, tracking outstanding amounts, follow-up with customers for payments, escalating overdue accounts. Conduct rigorous reconciliation of debtor accounts on a regular basis (daily/weekly/monthly) to ensure all outstanding invoices, credit notes, adjustments are accounted for and discrepancies resolved. Prepare aged debt reports , outstanding reports, debtor‐summary dashboards, and ad-hoc reports for management and the sales team to highlight high‐risk accounts, collection trends, payment delays, etc. Work closely with the sales team to share debtor status, outstanding amounts, payment commitments, and to support decision-making (e.g., whether to extend further credit, release goods, or follow up strongly). Use accounting software such as Tally ERP (or equivalent ERP) for posting, tracking, and monitoring debtor ledgers. Ensure Tally records are up to date and reconcile with debtor master, ledgers, and ageing schedules. Use Microsoft Excel to prepare, maintain and analyse data: build spreadsheets, pivot tables, charts, dashboards to monitor receivables performance, ageing trends, collection efficiency, days sales outstanding (DSO) etc. Investigate and resolve discrepancies: mismatches between invoices and payments, missing credit notes, unapplied payments, customer queries, disputed amounts. Liaise with customers, sales, dispatch, finance, and other internal/external stakeholders. Initiate and maintain systematic follow-up schedules: reminders, calls, emails, visits (if required) to ensure payments are received per terms. Escalate seriously overdue accounts to senior management or legal/collection agency as per policy. Monitor credit terms and limits for customers (in coordination with sales/credit team) and alert management of risk of over-exposure or late payment behaviour. Maintain accurate documentation and records of communication with debtors, payment commitments, follow-up history, disputes, and settlement agreements. Assist in the preparation of month-end/quarter-end/annual closing of receivables: reconcile debtor ledger to General Ledger, prepare schedules for audit, bad-debt provisions, write-offs (as per policy). Provide insights and recommendations: suggest process improvements in debtor management, credit control, invoicing, reconciliation and reporting to enhance cash-flow and reduce outstanding days. Work collaboratively across functions (sales, dispatch, accounts, customer service) to ensure alignment of credit, invoicing, collections and reporting. Required Skills & Qualifications Bachelor’s degree in Finance, Accounting, Commerce, Business Administration or equivalent. Proven experience (ideally 2-4 years or more) in debtor management / credit control / accounts receivable in a manufacturing, distribution, trading or services environment. Strong proficiency in Microsoft Excel – comfortable with creating and manipulating spreadsheets, using functions, pivot tables, charts, analysis, dashboards. Hands-on experience with Tally ERP (or comparable accounting software) for receivables, ledger reconciliation. Excellent analytical ability, attention to detail, accuracy, and the ability to reconcile large volumes of data. Very good communication skills (verbal & written) to interact with customers, sales team, internal departments and escalate matters when needed. Good organisational and time-management skills: ability to prioritise follow-up, meet deadlines, maintain schedules in a dynamic environment. Results-oriented mindset: proactive in follow-up, persistence in collections, and commitment to reducing outstanding receivables. Integrity and professional conduct: handling sensitive financial information, negotiating with customers, and maintaining strong record-keeping. Ability to work independently and as part of a team, and collaborate with stakeholders across functions. Knowledge of credit control procedures, receivables metrics (e.g., ageing buckets, days sales outstanding) is a plus. Job Type: Full-time Pay: ₹15,000.00 - ₹30,000.00 per month Benefits: Cell phone reimbursement Health insurance Provident Fund Work Location: In person