Role Overview
A Senior Data Analyst will analyze and value data, develop reporting tools, and accompany business teams in decision-making through reliable and relevant analyses.
What You Will Do
Collect, analyze, and interpret data from various sources, design and maintain dashboards and decision-making reports, define and track key performance indicators (KPIs), and identify trends, anomalies, and improvement opportunities.
Why It Might Be a Fit
The ideal candidate will have excellent analytical and synthesis skills, rigor and attention to detail, autonomy and proposal skills, and good communication and presentation skills.
Requirements
- Bachelor’s degree in computer science, data analytics, statistics, applied mathematics, or equivalent
- 5-8 years of experience in data analysis, business intelligence, or data analytics
- Solid experience in handling and exploiting large volumes of data
- Good mastery of data modeling and visualization techniques
- Experience in designing dashboards and performance indicators
- Excellent mastery of SQL and relational databases
- Mastery of Business Intelligence tools: Power BI, Tableau, or Qlik Sense
- Good knowledge of Python and its libraries Pandas and NumPy
- Mastery of data cleaning, transformation, and validation techniques
- Good knowledge of Data Warehouse architectures and ETL/ELT processes
- Experience in data modeling and creating KPIs
- Mastery of advanced Excel and statistical analysis tools
- Familiarity with Cloud Data platforms: Azure, AWS, or GCP
- Good understanding of data quality and data governance principles
To apply for this job please visit linkedin.com.
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