Senior Data Analyst_608 at Allianz Global Corporate & Specialty SE

Barcelona, Catalonia, Spain -

Full Time

Start Date

Immediate

Expiry Date

14 Feb, 26

Salary

0.0

Posted On

16 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Accuracy, Master Data Management, SAP, Data Governance, Data Quality, Process Optimization, Stakeholder Communication, Training, Critical Thinking, Project Management, Data Lifecycle Management, Intercultural Sensitivity, Conflict Resolution, AI Technologies, Process Modeling, Business Process Mapping

Industry

Financial Services

Description

Finance Operations is an umbrella term that refers to all of finance related activities and is responsible for making sure that they are properly integrated to support the overall health and performance of the business. The team is responsible for the global finance end-to-end processes, Finance Ticket Center, Finance Academy, Finance Innovation Management and Finance Data Office. We are looking for an experienced Master Data Expert for the “Finance Data Office” function. What you do As a Master Data Expert on our global Finance Operations team, you will partner with all finance teams and IT stakeholders. With process ownership and quality assurance responsibilities you play a critical role in ensuring the integrity, consistency, and reliability of an organization's core data assets. This role bridges the gap between data management, business processes, and quality control. This requires a blend of finance expertise, data management skills, and stakeholder engagement capabilities to ensure the integrity and quality of financial data across the organization. Tasks Ensure data accuracy, completeness, and compliance with internal standards. Define, document, and continuously improve end-to-end master data processes. Act as the central point of contact for process-related issues and enhancements. Collaborate with cross-functional teams to align data processes with business needs. Develop and implement data quality standards, metrics, and controls. Monitor data quality through regular audits and reports. Identify root causes of data issues and drive corrective actions. Work closely with IT, business units, and data stewards to ensure data governance policies are followed. Provide training and support to ensure consistent data handling practices across the organization. Analyze data-related KPIs to identify opportunities for process optimization. Lead or support projects aimed at enhancing data quality and operational efficiency. What you do Higher education degree in finance, business administration, economics or equivalent work experience Deep understanding of master data domains (e.g., customer, vendor, material, product, finance). Proficiency in SAP is a critical requirement for this role. Knowledge of data lifecycle management and data governance frameworks. Principles of data quality (accuracy, completeness, consistency, timeliness, uniqueness). Ability to map, analyze, and optimize business processes related to data creation and maintenance. Understanding of system integration and data flow between applications. Ability to analyze data quality metrics and identify root causes of issues. Strong critical thinking and continuous improvement mindset. Understanding of project management methodologies (e.g., Agile, Waterfall). Skills in stakeholder communication and training. Knowledge of process modeling tools (Adonis) would be helpful German and English at a business fluent leve Basic knowledge of AI technologies, principles, and their practical use. Soft skills Communicating clearly, persuasively, and appropriately for the audience; active listening; giving and receiving feedback. Working effectively with others, showing empathy, intercultural sensitivity, and conflict resolution skills. Managing time effectively, taking responsibility, staying resilient under pressure, and being open to continuous learning. Understanding complex issues, analyzing them systematically, and making well-founded decisions Conveying information clearly and convincingly, leading workshops, and structuring discussions. What we offer We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad. We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location). From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered. Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach. About Allianz Technology With its headquarters in Munich, Germany, Allianz Technology is Allianz's global IT service provider and delivers IT solutions that drive the group's digitalization. With more than 11,000 employees in over 20 countries around the world, Allianz Technology is tasked to run, optimize, transform, and innovate the infrastructure, applications, and services together with Allianz companies to co-create the best customer experience. We service the entire spectrum of digitalization – from one of the industry's largest IT infrastructure projects that spans data centers, networks, and security, to application platforms ranging from workplace services to digital interaction. In short: We deliver comprehensive end-to-end IT solutions for Allianz in the digital age. We are the backbone of Allianz. Find us at: www.linkedin.com/company/allianz-technology. 78906 | Finance & Accounting | Professional | Non-Executive | Allianz Technology | Full-Time | Permanent

Responsibilities

As a Master Data Expert, you will ensure the integrity, consistency, and reliability of financial data across the organization. You will collaborate with cross-functional teams to align data processes with business needs and drive corrective actions for data issues.