Data Analyst

Role summary

We are seeking a Healthcare Data Analyst to join our global healthcare team. This role is designed to enhance the efficiency and impact of our work by improving data quality, transforming data into actionable insights and automating processes that support strategic decision-making.

You will be embedded in a cross-functional environment, working closely with both business and technical teams. This includes contributing to healthcare-focused initiatives and participating in the development practices of our IT and software engineering teams.

Career Development

This is a cross-functional role that offers a unique opportunity to grow beyond technical execution. You will gain exposure to global healthcare initiatives, strategic business challenges, and collaborative innovation. Over time, this position can evolve into a more strategic and business-oriented role, supporting your development into a leader in data-driven transformation.

Responsibilities

• Analyse and validate data across multiple internal and external sources using Power BI and other tools.
• Maintain and enhance existing dashboards and reports; design new visualisations to support evolving business needs.
• Identify data quality issues and collaborate with international stakeholders to resolve them.
• Support the automation of operational and reporting processes across various domains (potential projects could include e.g., project tracking, CRM, business metrics).
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.
• Contribute to the continuous improvement of data workflows, tools, and documentation.

Education/experience

• Bachelor’s or master’s degree in data science, computer science, information systems, statistics, or a related field.
• Certifications such as Microsoft Certified: Data Analyst Associate or Power BI Data Analyst are a plus.
• 3+ years of experience with Power BI, including advanced dashboard development, DAX, and data modeling techniques.
• 2+ years of hands-on experience with Python for data manipulation, automation, and integration tasks.
• Proficient in SQL for querying and managing relational databases, particularly within SQL Server environments.
• Solid understanding of cloud-based data platforms, especially within the Microsoft Azure ecosystem (e.g., Azure Data Lake, Azure Synapse).
• Practical experience designing and maintaining data pipelines and working with data warehouses and data lakes to support analytics workflows.
• Strong attention to detail and ability to produce high-quality, well-documented outputs.
• Comfortable working independently and collaboratively in a multicultural, cross-functional environment.

“Nice to Have” experience

• Familiarity with data analytics methodologies, including:
• Descriptive and exploratory data analysis
• Anomaly detection and outlier analysis
• Predictive modeling and trend forecasting
• Data cleaning, transformation, and enrichment techniques
• Awareness of data governance principles, especially in regulated sectors such as healthcare.
• Exposure to CRM systems (e.g., Microsoft Dynamics) and experience improving data quality within such platforms.

Skills

• Must be fluent in English, oral and written
• Strong written communication and attention to detail
• Ability to create strong and trusted relationships with a globally distributed team in a multi-cultural environment
• Proactive problem-solving and critical thinking
• Collaborative mindset and adaptability
• Curiosity and a drive for continuous improvement
• Excellent time management skills and flexibility to cater for commitments across multiple time zones.

This job may require global travel once a year.

This is a hybrid role with a minimum of 4 to 8 days per month in office.

IMPORTANT! Please do not contact hiring managers. Apply through LinkedIn Recruiter and we will be in touch if you are a good fit.

GS1 Overview

GS1 develops and maintains the most widely used supply chain standards that are fundamental to numerous enterprises around the world. The best-known symbol of GS1 standards is the barcode, named by the BBC as one of “the 50 things that made the world economy”. Five decades ago, we started by helping food retailers do business more efficiently and reduce consumer prices. Today, GS1 standards improve the efficiency, safety, and visibility of supply chains across physical and digital channels in 25 sectors, including retail omnichannel and e-commerce, healthcare, transport and logistics, food service, technical industries, and humanitarian logistics. Our scale and reach – local Member Organisations (MO) in 120 countries, 2 million user companies, and 10 billion transactions every day – help ensure that GS1 standards create a common language that supports systems and processes across the globe.

GS1 is an Equal Opportunity Employer. We will never unlawfully discriminate on the grounds of race, religion, belief, ethnic origin, colour, nationality, gender, gender reassignment, sexual orientation, age, disability, marriage and civil partnership, pregnancy, maternity, or political opinions.