Position Overview:
Serves as the key connector between core SAP data systems and executive reporting across the supply chain. By designing automated Power BI models, interactive dashboards, and consolidated data pipelines. This role focuses on streamlining reporting workflows, tracking critical KPIs, and delivering real-time data modeling to improve inventory accuracy, vendor performance, and logistics operations.
Key Responsibilities:
- Design, build, and maintain interactive Power BI dashboards and visual reports to track critical KPIs such as late orders, buffer strategies, MRP analysis, inventory analysis and projection, OTP, PLT, material coverage, and supply tracking
- Build robust relational data models, custom DAX measures, and Power Query transformations to ensure fast, accurate, and scalable reporting
- Extract, transform, and clean raw data from SAP modules and integrate it with non-SAP sources
- Eliminate manual Excel reporting by digitizing and automating routine daily, weekly, and monthly supply chain workflows
- Establish standardized metrics, validate data integrity between SAP and Power BI, and resolve data discrepancies across systems
- Analyze supply chain patterns to identify operational bottlenecks, demand shifts, vendor delays, and excess inventory risks
- Partner directly with supply chain, procurement, logistics, and warehouse leads to translate business requirements into clear data specifications
- Support end-users across the supply chain in navigating dashboards, interpreting KPIs, and making data-backed decisions
- Execute and support activities, projects, and processes under their responsibility in accordance with the requirements, procedures, and operational controls of the EEHS Management System.
- Identify, evaluate, and report OHS risks, environmental aspects, energy improvement opportunities, and incidents or deviations related to their activities.
- Contribute to achieving EEHS objectives through participation in training, investigations, continuous improvement initiatives, and maintaining applicable records.
Skills
- Analytical thinking and problem-solving skills to structure complex questions, identify patterns, and break down business problems into testable hypotheses.
- Communication and data storytelling abilities to translate complex technical findings and quantitative metrics into clear, actionable insights for non-technical stakeholders.
- Business acumen and results orientation to understand strategic company goals and ensure data analysis drives real commercial value.
- Intellectual curiosity to constantly challenge assumptions, explore new datasets, and stay updated with emerging tools and methodologies.
- Collaboration and cross-functional influence to work effectively with product, engineering, and business teams while driving data-informed decision-making.
- Adaptability and time management to prioritize tasks in fast-paced environments and manage multiple projects simultaneously.
Experience:
- 3+ years of experience manipulating structured and unstructured datasets to generate reporting, dashboards, and explanatory or predictive analyses.
- Hands-on experience designing and implementing interactive dashboards using BI tools such as Power BI, Tableau, or Looker.
- Advanced SQL proficiency for querying, extracting, transforming, and aggregating data from data warehouses like Snowflake, BigQuery, or Redshift. ggtgz
- Practical experience using Python or R for exploratory data analysis (EDA), report automation, or foundational machine learning models.
- Proven track record of collaborating with business leaders to define success metrics, build conversion funnels, and monitor key performance indicators.
- Experience in data quality, validation, anomaly detection, and collaborating on data governance or data cleaning rules.
Qualifications/Education:
- Bachelor’s degree completed (Required)
- English level C1 (Required)
- Excel skills (Advanced level preferred).
- Knowledge of ERP System & SAP.
- Advanced proficiency or professional certification in SQL and database management.
- Professional certification in modern Business Intelligence tools such as Microsoft Certified: Power BI Data Analyst Associate, Tableau Desktop Specialist, or Google Looker.
- Relevant certifications or specialized coursework in data science tools and programming languages like Python or R.
- Strong understanding of statistical analysis methods, data modeling principles, and data warehouse architecture.
- Experience or certifications in cloud data platforms such as AWS, GCP, or Snowflake is a plus.
- Master's degree or postgraduate specialization in Data Analytics, Business Analytics, or Data Science is preferred
Ready to join us?
At Convatec, we’re pioneering trusted medical solutions to improve the lives we touch. If you’re ready to make a real impact, apply today and help us bring our Forever Caring promise to life.
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About Convatec
Pioneering trusted medical solutions to improve the lives we touch:
Convatec is a global medical products and technologies company, focused on solutions for the management of chronic conditions, with leading positions in Advanced Wound Care, Ostomy Care, Continence Care, and Infusion Care. With over 10,000 colleagues, we provide products and services in around 90 countries, united by a promise to be forever caring. Our solutions provide a range of benefits, from infection prevention, treatment for hard to heal wounds, at-risk skin and ulcerated tissue to supporting debilitating conditions, improved patient outcomes and reduced care costs. Convatec's revenues in 2025 were over $2 billion. The company is a constituent of the FTSE 100 Index (LSE:CTEC). To learn more please visit: http://www.convatecgroup.com.
