Group People Data Analytics Lead
Warszawa, PL, 00-841
ISS World Services A/S
Smart, integrated facility services can help your organisation grow profitability, boost efficiency and gain a competitive edgeAs a global leader in facilities services we connect people and places to make the world work better. Whether directly or indirectly, you’ll play a vital role in supporting our placemakers in delivering exceptional workplace experiences for our customers. Together, we make space for people and businesses to thrive.
Location: Warsaw, Poland
Language: English
We are currently looking for a Global People Data Analytics Lead to join us in our HQ Hub based in Warsaw, reporting into the Head of Global Data Management & Analytics.
In this role you will drive development of people analytics capability and provide analytics support to our stakeholders. You will collaborate closely with our People & Culture community and engage directly with senior leadership across different functions. You'll also have the opportunity to build people data analysts’ team.
What you’ll do:
- Proactively drive people analytics projects for Group P&C and local leadership teams
- Develop and drive reporting and analytics service model.
- Utilize statistical and analytical tools to interpret HR data and generate actionable insights
- Develop and deliver comprehensive reports and visualizations by simplifying complex data into engaging stories and communicate findings to stakeholders
- Provide guidance on the interpretation of HR data and insights to improve decision-making and employee experience
- Support the implementation and improvement of analytics tools, dashboards, reporting and analytics frameworks
- Lead and mentor a team of data analysts, ensuring continuous development and high performance
Key qualifications:
- Bachelor’s degree in Data Science, Statistics, Human Resources, or a related field.
- Proven experience in data analytics and working with large datasets, preferably within HR.
- Business acumen
- Knowledge of People/HR specific KPIs, metrics, processes and industry practices.
- Have a proven track record of managing analytics initiatives in large organizations
- Strong proficiency in data analysis tools (e.g., SQL, Python, R) and data visualization software (e.g. Power BI).
- Excellent communication skills, with the ability to present complex data insights to non-technical stakeholders.
- Leadership experience, with a track record of managing and developing a team.
Personal skills you excel:
- Structured and systematic with high degree of analytical thinking
- Strong problem-solving abilities
- Ability to interpret complex data and translate it into actionable insights
- Convincing personality with strong communication skills to drive results in a complex global matrix organization
- High service and customer orientation mind and the ability to prioritize and provide quick support to internal stakeholders, colleagues, employees, and managers.
Why ISS
At ISS, we are more than just a service provider of cleaning, food, workplace and technical services, we are a partner in our customers’ success. By creating exceptional service moments and transforming workplaces into spaces where employees feel valued, engaged and productive, we enhance productivity and help our customers to attract talent and grow their businesses. This begins with our own people through training, career development, and a supportive culture – empowering them to deliver outstanding service. We know that when our people thrive, they create spaces where our customers’ employees and businesses thrive too.
ISS is a Place to Be You.
Be who you are. Become what you want. Be part of something bigger.
Become more. Become ISS.
How you’ll apply
Apply directly via the link on this page by submitting a cover letter, CV and other relevant documents for the position you are applying for.
We look forward to receiving your application as soon as possible.
ISS seeks to BE a place of belonging and CREATE places where every person is welcomed, embraced, and valued for exactly who they are. Places where people feel safe, respected, represented, and supported as their authentic selves.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Data Analytics Data management Data visualization Excel KPIs Power BI Python R SQL Statistics
Perks/benefits: Career development
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