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People Data Analyst
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People Data Analyst
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People Data Analyst
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People Data Analyst
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People Data Analyst
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People Data Analyst
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Business Analyst
hace 2 semanas
Barcelona, Barcelona, España NTT DATA A tiempo completoKey ResponsibilitiesAs a Business Data Analyst, you will be responsible for collecting and analyzing business data to identify trends and insights that inform business decisions.Key Skills and Qualifications• Strong analytical and problem-solving skills• Ability to collect and analyze large datasets• Excellent communication and presentation skills
People Data Analyst
hace 2 meses
We are seeking a highly skilled People Data Scientist to join our People Analytics team in Barcelona, Spain. As a key member of our team, you will play a crucial role in delivering analytics that drive business objectives and address key organizational challenges.
Key Responsibilities- Partner with business leaders to define key performance indicators (KPIs) for people data.
- Collaborate with HR and finance teams to develop data-driven recommendations and action plans that drive business strategies.
- Contribute to data-driven decision-making across the organization by identifying opportunities to improve HR processes and programs.
- Prepare and analyze HR-related datasets, including employee demographics, performance, compensation, and engagement.
- Provide data insights by correlating data from different sources.
- Design and maintain dashboards in Looker and other systems to communicate insights and recommendations to HR and business leaders.
- Apply statistical methods and machine learning to gain valuable insights and develop predictive models that identify trends, forecast outcomes, and support HR decisions.
- Bachelor's degree in data science, statistics, computer science, or a related field. Master's degree preferred.
- 3+ years of experience in data analysis, modeling, and visualization. Experience in HR analytics preferred.
- Strong analytical and problem-solving skills, with the ability to think critically and creatively about complex business problems.
- Proficiency in statistical analysis and modeling techniques, such as regression analysis, machine learning, and data mining.
- Expertise in data visualization and reporting tools, such as Looker.
- Strong programming skills in languages such as Python or SQL.
- Excellent communication skills, with the ability to clearly and persuasively communicate complex data insights to non-technical audiences.
- Ability to work independently and collaboratively, and to manage multiple projects and priorities simultaneously.
- Knowledge of HR policies, procedures, and practices, and their impact on business outcomes.
- Familiarity with HR systems and technologies, such as Workday, Peakon, and Jobvite.
We prioritize transparency, simplicity in conveying complex data, and strict adherence to data privacy. Ideal candidates should possess a strong commitment to ethical data use and a passion for driving business outcomes through data-driven insights.