• Analyze and interpret large volumes of HR data ingested into the Data Lake to identify trends, gaps, and actionable insights for business and AI use cases • Design and implement scalable logical and physical data models to support multiple HR and analytics reporting needs • Develop and maintain a semantic layer to ensure consistent, governed access to HR metrics across teams and tools • Collaborate with data engineers to ensure high-quality Workday API data integration and model-ready data structures • Partner with AI development teams to align data models with requirements for automated HR agents and workflows • Define and enforce data validation rules, quality checks, and compliance standards across the data modeling pipeline • Translate HR and business stakeholder requirements into structured data models and analytics frameworks • Create and maintain documentation, including data dictionaries, lineage, and model definitions

The Data Quality Intermediate Analyst is responsible for delivering subject matter and industry expertise across the enterprise in coordination with the Data Quality team. This role deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. Responsibilities: - Partners with business teams to develop process improvements, solutions, and streamline operational workflows - Applies professional judgment and attention to detail when interpreting data and results based on the analysis of information - May occasionally provide informal guidance or on the job training to new or lower-level team members - Communicates with tact and diplomacy to exchange potentially complex/sensitive information with project stake holders or internal parties - Works and coordinates with a multidisciplinary group of business leads, operations managers, and technologists - Report Data Quality issues through the Data Concern Remediation Management process - Defines detailed business data requirements and documenting them - Appropriately assess risk when business decisions are made, demonstrating consideration for the firm’s reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable rules, laws, and regulations, adhering to Policy, applying sound ethical judgement regarding personal behaviour, conduct and business practices, and escalating managing and reporting control issues with transparency Qualifications: - 3-5 years’ Experience with defining and implementing Data Quality programs in Banking or Finance industry - 3 years of experience of working with Wholesale Credit Risk dataset - Proficient in the use of SQL and Python - Strong analytical skills and attention to detail - Working knowledge of Collibra and other Data Governance industry standard tools - Intermediate proficiency in System Query Language (SQL) - Working knowledge of Tableau (report consumer, developer, etc.) - Demonstrated understanding of Database structures - Flexible, team-oriented and have good interpersonal skills - Ability to work independently and as part of a team - Excellent written and verbal communication skills Education: - Bachelor's/University degree or equivalent experience ------------------------------------------------------ Job Family Group: Data Governance------------------------------------------------------ Job Family: Data Quality & Data Quality Analytics and Reporting------------------------------------------------------ Time Type: Full time------------------------------------------------------ Most Relevant Skills Change Management, Data Analysis, Data Governance, Data Lineage, Data Management, Data Quality, Internal Controls, Management Reporting, Program Management, Risk Management.------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

• Design, build, and maintain embedded Looker dashboards that are surfaced directly to salon clients within the Phorest platform, ensuring they are performant, intuitive, and reliable. • Maintain the LookML layer underpinning client-facing analytics — writing and maintaining models, explores, views, and derived tables to a high standard. • Collaborate with Product and Engineering teams to scope, design, and deliver new embedded analytics features for clients, from requirements through to release. • Ensure data accuracy and consistency across all client-facing dashboards through rigorous QA, validation, and monitoring. • Manage and iterate on the client analytics experience , identifying improvements to dashboard usability, metric clarity, and overall value delivered to salon users. • Maintain and optimise Looker performance , including query efficiency, caching strategies, and PDT management at scale. • Contribute to Looker governance and best practices , including content organisation, permissions management, and documentation. • Support ad hoc requests from internal teams and clients, delivering accurate and timely insights.

Shape the Future of Financial Services with Capco At Capco, we specialize in management consulting and software development, partnering with leading international banks and insurance companies across Western Europe. Our innovative approach and collaborative culture make us the ideal place for professionals looking to make an impact in financial services technology. Want to learn more about our culture and people? Visit us: Capco Careers Slovakia Why Join Us? - Prestigious Clients & Exciting Projects – Work with top-tier banks on transformation projects that redefine financial services. - Continuous Learning & Development – Access to technical and soft skills training, professional certifications, and full access to the Udemy online learning platform. - Flexible Work Environment – we provide flexibility to work remotely from the home office - Attractive Benefits Package: ✅ Private health care & fully paid sick leave & sick days ✅ 25 vacation days (regardless of age) ✅ Monthly cafeteria allowance (€50/month) or contribution to the 3rd pillar ✅ Fully paid meal vouchers ✅ Smartphone with 1TB data + Laptop - Well-being & Community Engagement – Join yoga lessons, mental health webinars, running challenges, sports activities, or participate in our volunteering days. - Competitive Compensation – Starting from €2,200/month (adjusted based on experience) + annual bonus & benefits package. - Long-term career – Indefinite period contract with opportunities for career growth. Role Description We are expanding our new team for our banking clients. - You will be a business/data Analyst, part of an agile team focused on exciting transformation challenges around data - You will work with some of the largest banks in the world, on projects that will transform the financial services industry - You will modernize related processes and set-up, develop, and optimize state-of-the-art solutions and the corresponding data management all the way from business analysis to implementation - Gradually you will take on more responsibility for your topics, as well as lead sub-projects and smaller project teams Skills and Expertise - A successfully completed university degree - Fluent English and German - Strong interest and working experience in one or more of the following areas: - Working with data (data analysis, working with large datasets, data quality management, e.g. formulating rules and criteria to validate data, analyzing and resolving data quality events) - Business Analysis (as-is process and data analysis, writing requirements, data mapping) - Business Process Optimization (simplifying / automating processes, elimination of manual processes) - Agile project work or knowledge of agile working methods and corresponding tool - Knowledge about the financial service industry, about banking products and about accounting is needed - You are a team player, have good analytical and conceptual skills as well as perseverance Your Hiring Journey ✅ Screening Call – Introductory chat with our recruiter ✅ Technical Interviews (1-2 rounds, depending on the project) – Discuss your skills with our experienced Capco colleagues ✅ Feedback & Offer – Receive an offer to join our team! Why Capco? Because You Matter. At Capco, we prioritize your career growth and well-being. You will have a personal coach to support your development and a flat hierarchy that encourages you to share and implement your ideas. Plus, our team events, sports activities, and networking opportunities help you stay connected and engaged beyond work. Curious to learn more? Apply now – it only takes 5 minutes! 📩 Contact: Zora Paulikova – zora.paulikova@capco.com 💻 Connect on LinkedIn: Zora Paulikova | LinkedIn #fulltime