Senior People Data Analyst_1727 at Allianz Global Corporate & Specialty SE

Barcelona, Catalonia, Spain -

Full Time

Start Date

Immediate

Expiry Date

24 Jan, 26

Salary

0.0

Posted On

26 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Automation, Data Products, People Metrics, KPI Development, Data Visualization, SQL, Python, Predictive Modeling, Machine Learning, AI-driven Analytics, Data Integrity, GDPR Compliance, Communication Skills, Critical Thinking, Problem Solving

Industry

Financial Services

Description

About the Job As a key member of the People Analytics team, you will leverage your expertise in Data Analytics to drive automation and develop innovative data products that empower Allianz Technology teams globally. Collaborating closely with colleagues in Germany, Romania, and India, you will ensure high-quality data is readily available to support autonomous, data-driven decision-making across Allianz Technology. Your role involves compiling and consolidating diverse data sets to deliver actionable insights to the People Leadership teams and the broader business. You will engage with global and local business stakeholders to define requirements for data definitions and analytics, ensuring alignment with Allianz Technology's strategic priorities. Your focus will be on enhancing the efficiency of the global reporting landscape through automation, enabling teams to independently access and utilize People analytics data. Additionally, you will contribute your analytical expertise to Allianz Group initiatives and projects, collaborating with Allianz Technology People function Product Owners, Business Partners, IT functions, service providers, and the Allianz Group’s global People & Culture function to drive data innovation and autonomy. What you do Partner with various entities, People & Culture Leadership, and business leaders to define critical People & Culture data needs and drive a data-driven culture for strategic decision-making. Define and standardize key People metrics, KPIs, and benchmarks to measure workforce effectiveness, transforming these into robust data products and developing AI-driven analytics solutions for enhanced decision-making. Collaborate with IT and HRIS teams to optimize People data infrastructure, ensuring data integrity, security, and compliance with regulations like GDPR and CCPA, while driving automation and self-service analytics capabilities. Design advanced People Analytics solutions to predict turnover, enhance employee engagement, and drive DEI strategies, utilizing NLP and sentiment analysis for employee feedback and local compensation analytics for pay equity. Provide expert guidance to People Data Analysts to enhance skills, facilitate collaboration between People & Culture, IT, Finance, and business units, and share best practices for reporting and insights communication. Advocate for the development and utilization of data products to streamline processes, enhance data-driven decision-making, and ensure alignment on organizational streamlining activities and data initiatives. Be an active member of the global Analytics team, taking ownership of topics and being a thought leader to elevate the team's proficiency and impact. What you bring 7+ years of experience in People analytics, workforce planning, or related fields, preferably in an international environment, with proficiency in data analytics languages such as SQL and Python. Expert user of leading data visualization tools, ideally Power BI, with experience in data modeling and exposure to predictive modeling, machine learning, and AI-driven analytics. Strong understanding of People metrics, compensation analytics, and talent management KPIs, with a proven track record in fostering a data-driven culture. Strong communication skills to translate complex data into actionable business insights and engage effectively with stakeholders in virtual teams across various continents and cultures. Ability to work independently, demonstrating good self-organization, prioritization, and time management skills while maintaining quality levels in reporting and meeting deadlines Basic knowledge of AI technologies, principles, and their practical use Good assertiveness, critical thinking, and problem-solving skills, with a customer-service-oriented, hands-on mentality and high attention to detail. Fluent in both spoken and written English, with methodological and conceptual skills, and analytical thinking; other languages are an advantage

Responsibilities

You will compile and consolidate diverse data sets to deliver actionable insights to the People Leadership teams and the broader business. Your role includes collaborating with global and local business stakeholders to define requirements for data definitions and analytics.