Your responsibilities

• Work closely with business, corporate data professionals, and other stakeholders to understand data requirements and objectives
• Utilize analytical techniques to extract valuable insights (e.g., patterns, trends, and correlations) in data to support decision-making processes;
• Communicate findings and insights to non-technical stakeholders in a clear and understandable manner;
• Monitor and assess the quality of data, identifying and rectifying inconsistencies or errors;
• Develop and implement data quality standards and procedures.
• Collaborate with data stewards and other stakeholders to establish and enforce data quality policies;
• Control, cleanse, and transform data into a usable format for analysis and reporting purposes;
• Ensure compliance with data privacy regulations and organizational data governance standards;
• Identify opportunities for process improvement in data management and analysis;
• Stay informed about advancements in data analytics and quality assurance methodologies;
• Contribute to data-related communities of practices at ZEISS.

Our requirements

• An excellent university degree in a relevant field such as Data Science, Statistics, Computer Science, Information Management, or a related discipline;
• Strong analytical and problem-solving skills to interpret complex data sets and extract meaningful insights;
• Proficiency in statistical analysis and data modeling;
• Familiarity with data analytics tools and languages such as Python, SQL, or other statistical software;
• Experience working with data visualization tools (Microsoft Power BI is a plus) to communicate findings effectively;
• Experience working with data cataloging and metadata management tools (e.g. Informatica, Collibra);
• 3+ years of progressively responsible experience performing duties related to data and analytics (e.g., data quality, data governance, data architecture, data lineage, data modelling, metadata, business intelligence, machine learning, artificial intelligence, …);
• Knowledge of data quality management principles and best practices;
• Understanding of database systems and data warehousing concepts;
• Understanding of regulatory requirements related to data privacy and compliance;
• Effective communication skills to convey complex technical information to non-technical stakeholders;
• A proactive approach to identifying and solving data-related challenges;
• Fluent English language skills;
• Stay updated on industry best practices and emerging technologies related to data analytics and quality;

Technologies we use

What we offer

• Work in a stable, reputable company;

• Employment based on an employment contract;

• Additional benefits (e.g. medical package, group life insurance, Multisport card, cafeteria platform, preferential conditions for the purchase of selected Zeiss products, holiday subsidy, additional holidays);