Data Analyst

Position Title Data AnalystApplicable branches

• Bachelors Degree in Engineering, Statistics, Mathematics, Economics, Computer Science, or related field.
• Masters degree or specialization in Analytics / Data Science is desirable.
• Supply chain or inventory planning exposure is desirable but not mandatory.

DepartmentSupply Chain & PlanningBusiness UnitS3V Vascular Technologies Ltd.Reports ToHead Supply Chain / OperationsLocationMysore

About S3V VascularS3V Vascular Technologies is a medical devices company involved in the manufacture of Cardiovascular Medical devices and Critical Care products such as Drug Eluting Stents, Bare Metal Stents, PTCA Catheters and Aspiration Catheters. S3V Vascular being a technology and quality focused company aims to differentiate itself through New Generation technology which helps in patients to get quality medical devices at a cost-effective price.SummaryTo drive demand estimation, inventory planning, and business decision-making through advanced data analytics and modelling. The role requires strong analytical capability to identify trends, anomalies, and broader business patterns across demand, inventory, secondary sales, and operational data sets.

Illustrative Responsibilities

• Develop demand estimation and forecasting models using historical sales and inventory data.
• Perform time series analysis to identify demand trends, seasonality, cyclicality, and demand shifts.
• Analyze inventory patterns and recommend inventory planning and optimization actions.
• Identify and investigate data anomalies, inconsistencies, and unusual business patterns.
• Build analytical models to support forecasting accuracy and inventory optimization.
• Generate insights from large and complex datasets to support operational and business decisions.
• Conduct forecast vs actual analysis and identify drivers for deviations.
• Work with Sales, Supply Chain, Operations, and Finance teams to improve planning effectiveness.
• Develop dashboards, reports, and automated analytics tools using Power BI and Excel.
• Create data models and business logic for decision support systems.
• Standardize reporting structures, KPIs, and analytical frameworks.
• Present analytical findings and recommendations to senior stakeholders.

Desired Profile

• Strong analytical and problem-solving skills with the ability to work on ambiguous datasets.
• Ability to identify broader business patterns beyond standard reporting.
• Strong understanding of statistical analysis and data interpretation.
• Ability to translate data into actionable business insights.
• High attention to detail and strong curiosity to investigate root causes.
• Strong communication and stakeholder management skills.
• Ability to work independently in a fast-paced environment.

Technical Skills

• Advanced Excel
• Power BI / Data Visualization Tools
• SQL
• Python or R for analytics and modelling (preferred)
• Time Series Analysis
• Statistical Modelling
• Data Modelling & Data Interpretation
• Forecasting Techniques
• ERP exposure (SAP, Oracle, Dynamics, etc.) desirable.

Key Success Metrics

• Forecast Accuracy Improvement
• Inventory Optimization
• Reduction in Data Errors and Reporting Gaps
• Quality and Timeliness of Analytical Insights
• Automation of Reports and Dashboards
• Identification of Demand and Inventory Risks