Key Responsibilities
1. Data Collection and Preparation:
- Gather data from various sources including databases spreadsheets and APIs.
- Cleanse and preprocess data to ensure accuracy and consistency.
- Structure and organize data to facilitate analysis.
2. Data Analysis:
- Utilize statistical techniques and analytical methods to interpret data.
- Detect trends patterns and correlations within datasets.
- Perform exploratory data analysis (EDA) to uncover insights.
- Conduct hypothesis testing and statistical inferences.
3. Data Visualization:
- Develop visualizations such as charts graphs and dashboards to communicate insights effectively.
- Utilize tools like Tableau Power BI or matplotlib for data visualization.
- Create visually compelling and informative reports for stakeholders.
4. Reporting and Presentation:
- Compile reports and presentations that summarize findings and insights.
- Convey complex technical concepts in a clear and accessible manner.
- Present insights to stakeholders including management and nontechnical audiences.
5. DataDriven DecisionMaking:
- Collaborate with crossfunctional teams to understand business needs.
- Offer datadriven recommendations and insights to support decisionmaking processes.
- Monitor key performance indicators (KPIs) and metrics to assess progress and performance.
6. Continuous Learning and Development:
- Stay informed about emerging trends tools and technologies in data analysis.
- Continuously enhance analytical skills through training certifications and practical experience.
- Share knowledge and best practices with colleagues to promote a learningoriented environment.
Skills and Qualifications:
- Proficiency in SQL for data querying and manipulation.
- Strong analytical and problemsolving abilities.
- Experience with statistical analysis and data visualization tools.
- Familiarity with programming languages such as Python or R.
- Understanding of data warehousing concepts and data modeling.
- Excellent communication and presentation skills.
- Keen attention to detail and the ability to work independently.
- Bachelor s degree in a relevant field such as statistics mathematics computer science or a related discipline. A master s degree or certifications in data analysis or related fields is preferred.
Let's delve into your profile: Accumulated 7-12 years of pertinent experience, with a focus on client-facing consulting. Demonstrated passion and a successful track record in spearheading HR Transformations, achieving sustainable high impacts. A dedicated project manager adept at defining scopes and budgets, writing proposals, resource management, risk mitigation, issue resolution, and status reporting. Possessing a commercial mindset with the ability to identify and convert opportunities into projects. Solid affinity and understanding of technology and its transformative impact on contemporary work methods. Experience and interest in transformation activities, including developing communication materials, delivering training, conducting stakeholder assessments, and facilitating workshops. Essential proficiency in English and proficiency in Dutch and/or French