Cerved is seeking a Senior Data Analyst to join their Data Management area, where the candidate will analyze complex data to support business decisions and contribute to various analytical projects. The role requires strong skills in SQL and Python, as well as experience with data visualization tools and cloud services, with a hybrid work model offered
Job Summary
The candidate will be actively involved in analyzing complex data to support business decisions, transforming large volumes of data into actionable insights and actively contributing to end-to-end analysis projects.
Key responsibilities include conducting exploratory and advanced analyses using Python and SQL, designing interactive dashboards and reports with BI tools, and managing analytical projects from data collection to output communication.
The role requires collaboration with Data Engineering, Data Science, Product, Marketing, Finance, and Operations teams to define and monitor KPIs and contribute to the company's data culture.
Matching Summary
Match Score: 85
Cerved is seeking a Senior Data Analyst to join their Data Management area, where the candidate will analyze complex data to support business decisions and contribute to various analytical projects. The role requires strong skills in SQL and Python, as well as experience with data visualization tools and cloud services, with a hybrid work model offered.
Skills & Requirements
Must-have
SQL advanced
Python for data analysis
Databricks platform experience
BI and data visualization tools
AWS data services knowledge
Applied statistical analysis
Nice-to-have
PySpark on Databricks
Machine Learning and AI techniques
Databricks or AWS certifications
Key Requirements
3-5 years of data analysis experience
Advanced SQL skills
Proficiency in Python (pandas, NumPy)
Databricks platform experience
BI tool experience (Power BI, Tableau, Looker)
AWS data services knowledge
Solid applied statistics preparation
Degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or related