Senior Data Analyst

• Lead complex analytical projects from conception to completion, identifying key business questions and designing appropriate analytical approaches.
• Conduct in-depth analysis of talent acquisition data (e.g., source effectiveness, time-to-hire, candidate experience, diversity metrics, market intelligence) to uncover trends, opportunities, and challenges, using statistical methods and basic forecasting techniques.
• Collaborate closely with the Data Scientist and Data Engineer to interpret outputs from advanced predictive models, translating complex forecasts into actionable business strategies and recommendations for TA leaders and business partners.

Data Visualization & Reporting:

• Design, develop, and maintain impactful dashboards and reports using Power BI.
• Ensure data accuracy, consistency, and integrity in all reporting and analytical outputs.
• Proactively identify reporting needs and opportunities to enhance data accessibility and understanding.

Business Communication & Stakeholder Engagement:

• Act as a primary analytical point, understanding the needs of the business and translating them into analytical requirements.
• Present our findings and recommendations in a clear, concise, and compelling manner to both technical and non-technical audiences.
• Facilitate discussions, workshops, and training sessions to foster data literacy and drive data-informed decision-making.

Process Improvement & Best Practices:

• Identify opportunities to streamline data collection, analysis, and reporting processes.
• Contribute to the development and standardization of analytical methodologies and standard processes within the team.
• Stay abreast of industry trends in talent analytics, business intelligence, and data visualization to continuously bring new solutions to the team.

Do you have experience in Tableau?, Do you have a Bachelor's degree?, * Long-term working experience in data analysis, business intelligence, or analytics role,

• preferably within HR or Talent Acquisition.
• Proven experience leading analytical projects and delivering actionable insights to business partners.
• Demonstrated record of building and maintaining analytical presentations.

Technical Proficiency:

• Expertise in data visualization tools (e.g., Power BI, Tableau), including dashboard design, data modeling within the tool, and advanced reporting capabilities.
• Experience with statistical analysis and interpreting modeling outputs (e.g., regression, correlation).
• Familiarity with data warehousing concepts (e.g., Snowflake) and data pipelines.
• Exposure to SQL, Python or R is beneficial but not strictly required.

Soft Skills:

• Exceptional Communication: Outstanding verbal and written communication skills enable you to articulate complex analytical concepts to diverse audiences.
• Problem-Solving: Strong analytical and critical thinking skills with a proactive approach to identifying and solving problems and provide strategic recommendations.
• Curiosity & Learning Agility: Passion for data, continuous learning, and exploring pioneering analytical techniques.

Education:

• Bachelor's degree or equivalent in a quantitative field such as Business Analytics, Statistics, Economics or Computer Science

• An attractive remuneration package
• Access to Siemens share plans
• 30 days of paid vacation and a variety of flexible work schedules that allow time off for you and your family
• 2 to 3 days of mobile working per week as a global standard
• Up tp 30 days workation per year in certain countries
• Flexible training opportunities for both your professional and personal development that you can tailor to your interests

Since each of over 300,000 team members feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information here.

The individual benefits are subject to regulatory, contractual, or corporate conditions.

You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you! At Siemens, we believe that feeling valued and included is the foundation for doing great work. That's why we aim to create an inclusive workplace where everyone feels a sense of belonging, and where individual perspectives and experiences are celebrated. Our commitment to fairness and respect extends to every applicant.