Siemens Mobility is a separately managed company of Siemens AG and has been a leading supplier in the field of mobility for over 160 years. Our core business includes rail vehicles, rail automation and electrification solutions, turnkey systems, and related services. We have always been very innovative in making traveling faster, safer, and more comfortable. Today, we need new solutions to new challenges such as climate change and rising populations worldwide. That's what drives us. That's why we shape mobility with passion, always being one step ahead. Through digitalization, we make infrastructures smart and create opportunities that get us from A to B sustainably and seamlessly.
Our employees are pioneers in mobility who help to keep the world moving. At Siemens, we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow's reality. We are looking for a data analyst that joins the Launch Hub (ninja) team and who shares our passion for helping make Siemens Mobility Spain and the South-West Europe Region a more efficient and digitalized company. The Ninja Launch Hub is a space to innovate where self-initiative can thrive. The goal is to push internal digital transformation, enhance efficiency and provide proper tools and information to the strategic decision-making processes at the company. The Launch Hub main activities are focused on starting or set efficiency in motion, build up a community and support on becoming a data-driven company.
As a Data Analyst, you will focus on help drive decisions and action through analytics. You will help deliver value to our end users and have the opportunity to create visualization solutions.
You will tackle complex problems while delivering real-world solutions.
What will you do? Work closely with various stakeholders to analyze, organize, use and present data
Create reports, dashboards, and performance indicators in compliance with Best Practices and standards
Analyze data to derive insights for critical decision-making
Analyze data, conduct research, and synthesize feedback into plans, processes, and playbooks
Provide analysis of trends and forecasts and recommend actions for optimization
Identify patterns, build models, test, and improve predictive algorithms that increase our understanding of trends and identify opportunities to improve
Propose creative technical and quantitative solutions to problems and drive these through to implementation
Partner with teams within SMO Spain and the broader SWE region to solve problems and identify trends and opportunities
Communicating results of analyses to non-technical stakeholders who are the users of systems involving metrics, pipelines, and dashboards
Build analytics tools that utilize the data pipeline to provide actionable insights to operational efficiency, and other key business performance metrics
Increase the capabilities of our reporting/analytics platforms to support business insight for internal users
What will you need to succeed? Display self-reliance and resourcefulness
Be comfortable in a fast-moving environment and excited to collaborate cross functionally
Be proactive identifying opportunities for improvements in data quality, data visualization and data reporting, innovative, enthusiastic, and versatile
Be an excellent team player and like to work in multi-disciplinary teams
Be passionate about data, digitalization, AI and analytics
Have strong internal customer focus
Possess the Ability to navigate easily in a global & multicultural environment
Problem-solving and data analysis skills
Have strong data visualization skills
Good communication skills
What qualifications do you need? 2+ years professional experience working on data analytics
Degree with a quantitative focus in Economics, Computer Science, Information Systems, Mathematics, Statistics, Operations Research, Business Analytics or equivalent
Experience supporting and working with cross-functional teams in a dynamic environment
Professional experience with data visualization tools
Professional experience with reporting systems
Data pipeline architecture, data modeling, and automation
Office 365 Power Platform knowledge (Power BI, PowerApps, PowerAutomate)
Experience with statistical analysis (e.g., hypothesis testing, probability, regressions, experimentation logic and biases, data modeling techniques, time series analysis)
Proficiency in querying and manipulating complex raw datasets for analysis using SQL, Python, or R
Knowledge of VBA language
Knowledge of SAP software
Ability explaining technical concepts and analysis implications clearly to varied audiences and ability to translate business objectives into actionable analyses
Desirable User Experience knowledge/orientation
Desirable Mendix (low code tools) knowledge
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