Data Analyst - Retail and Food Processing
- Rasapoorna Foods
- 3 - 5 years
- Visakhapatnam
- 22 days ago
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Job Description
JOB DESCRIPTION
Data Analyst And Retail & Food Processing
Mid-Level | April 2026
Position Overview
Job Title
Data Analyst Department Business Intelligence & Analytics
Industry Retail & Food Processing Reports To Analytics Manager / Head of BILevelMid-Level (3-5 years experience)Employment TypeFull-TimeLocationOn-site / HybridGrade / BandGrade 3DateApril 2026About the Role
We are seeking a highly motivated and analytically sharp Data Analyst to join our Business Intelligence team. This role sits at the intersection of retail operations and food processing, giving you a unique opportunity to drive data-led decisions across sales performance, supply chain efficiency, production quality, and customer behaviour.
You will translate large, complex datasets into actionable insights that directly influence strategy at the store, factory, and executive level. The ideal candidate is equally comfortable digging into inventory forecasting models as they are presenting findings to senior stakeholders.
Key Responsibilities
Retail Sales & Inventory Analytics
Analyse daily, weekly, and seasonal sales trends across product categories and store locations to identify growth opportunities and underperforming areas.
Build and maintain inventory dashboards to monitor stock levels, turnover rates, and shrinkage, flagging anomalies in near real-time.
Develop demand forecasting models to optimise replenishment cycles and minimise out-of-stock and overstock situations.
Collaborate with category managers to track promotional uplift and pricing effectiveness across SKUs.
Conduct shelf performance analysis and planogram compliance reporting to support merchandise planning.
Supply Chain & Logistics Analytics
Monitor supplier performance KPIs including on-time delivery, order accuracy, lead times, and cost variance.
Analyse procurement data to identify cost-reduction opportunities and negotiate better terms with vendors based on historical patterns.
Track distribution centre efficiencythroughput, order fulfilment rates, returnsand recommend process improvements.
Build end-to-end supply chain visibility reports to support logistics planning and reduce bottlenecks.
Develop models to simulate supply disruption scenarios and recommend contingency actions.
Food Production & Quality Analytics
Analyse production yield data to identify waste drivers, batch inefficiencies, and quality deviations across processing lines.
Build quality control dashboards tracking defect rates, compliance metrics, and corrective action timelines in line with food safety standards (e.g., FSSAI, ISO 22000).
Monitor raw material usage and wastage trends, providing insights to reduce input costs and improve resource utilisation.
Partner with QA and operations teams to design data collection frameworks and ensure data integrity at the production floor level.
Identify patterns in returns or complaints linked to specific batches and production parameters, supporting root-cause analysis.
Customer & Marketing Analytics
Analyse customer purchase behaviour, basket composition, and frequency to build granular customer segments.
Measure the performance of loyalty programmes, promotions, and marketing campaigns using A/B testing and attribution modelling.
Develop churn prediction models and customer lifetime value (CLV) frameworks to support retention strategies.
Produce actionable customer insights reports for category, marketing, and CRM teams on a regular cadence.
Integrate data from CRM, POS, and digital channels to create a unified view of the customer journey.
Data Management & Reporting
Design, build, and maintain automated dashboards and reports in BI tools such as Power BI, Tableau, or Looker.
Write efficient SQL queries and Python/R scripts to extract, clean, transform, and model data from multiple source systems.
Ensure data quality, consistency, and documentation across all analytics outputs and datasets.
Contribute to the development of a centralised data warehouse or data lake structure.
Present findings and recommendations clearly to both technical and non-technical audiences, adapting communication style accordingly.
Qualifications & Experience
Education
Bachelors or Masters degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative discipline.
Certifications in data analytics, BI tools, or cloud platforms (e.g., Google Data Analytics, Microsoft Power BI, AWS Data Analytics) are a plus.
Work Experience
35 years of hands-on experience in a data analyst role, preferably within retail, FMCG, food & beverage, or supply chain environments.
Proven experience building dashboards and self-service analytics tools used by cross-functional stakeholders.
Track record of delivering actionable insights that drove measurable business outcomes.
Skills & Competencies
Technical Skills
Skill AreaTools / TechnologiesData Query & ManipulationSQL (intermediateadvanced), Python (pandas, NumPy), RData Visualisation & BIPower BI, Tableau, Looker, Google Data StudioSpreadsheet & ModellingAdvanced Excel (VLOOKUP, pivot tables, Power Query)Statistical AnalysisRegression, time-series forecasting, A/B testing, clusteringDatabase & Cloud PlatformsMySQL, PostgreSQL, Snowflake, Google BigQuery, AzureETL & Data PipelinesExperience with ETL tools; exposure to Airflow, dbt a plusERP / POS SystemsExposure to SAP, Oracle, or retail POS systems preferred
Behavioural Competencies
Strong analytical mindset with the ability to synthesise data from multiple sources into clear narratives.
Excellent stakeholder managementcomfortable influencing decisions at team-lead and management level.
Highly organised with attention to detail; able to manage multiple projects and meet deadlines in a fast-paced retail environment.
Curious, proactive, and self-drivenyou dont wait to be told there is a problem; you find it first.
Strong written and verbal communication skills, with experience presenting to non-technical audiences.
Collaborative team player who builds trusted relationships across Operations, Supply Chain, Marketing, and QA functions.
What We Offer
Competitive CompensationMarket-aligned salary Health & WellnessComprehensive medical insuranceGrowth & LearningSponsored certifications, learning budget & internal mobility Collaborative CultureCross-functional exposure across retail and manufacturing Employee BenefitsStaff discounts on company retail and food products Flexible WorkingHybrid working model with flexible hours policySuccess Metrics (First 3 Months)
Dashboard adoption rate across key business functions exceeds 80%.
At least 3 impactful analytical projects delivered with measurable business outcomes (e.g., inventory cost reduction, campaign ROI lift).
Data pipeline reliability and report accuracy maintained at 99%+.
Positive stakeholder feedback rating from at least 5 cross-functional partners.
Completion of at least one advanced certification relevant to the role.
How to Apply
Interested candidates should submit their updated CV along with a short cover letter highlighting relevant analytical projects and the tools used. Shortlisted applicants will be invited for a structured interview process that includes a technical case study and stakeholder presentation exercise.Apply by sending your application to: **@sa**********s.co.in | Applications reviewed on a rolling basis.We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Data Analyst Job Description | Retail & Food Processing Division | Page 1
Job Classification
Industry: Food ProcessingFunctional Area / Department: Data Science & AnalyticsRole Category: Business Intelligence & AnalyticsRole: Analytics / BI ManagerEmployement Type: Full timeContact Details:
Company: Rasapoorna FoodsLocation(s): Visakhapatnam
Keyskills: Data Analytics Power Bi Data Interpretation Bi Tools Data Cleansing Business Intelligence Reporting Forecasting Model Data Visualization Dashboards Dashboard Development Inventory Analysis Data Preparation Data Reporting Forecast Analysis Predictive Analytics
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