Benefits Qualificatins Proven experience as a Data Analyst or in a similar role, with a strong understanding of data analysis techniques, methodologies, and best practices Proficiency in SQL for data extraction, manipulation, and analysis from relational databases, particularly PostgreSQL Experience with data visualization tools and techniques, such as Tableau, Power BI, or Python libraries Strong analytical and problem-solving skills with the ability to interpret complex datasets and draw actionable insights Knowledge of statistical analysis and data mining techniques, such as regression analysis, clustering, and hypothesis testing Familiarity with data preparation and wrangling techniques, including data cleansing, transformation, and aggregation Proficiency in programming languages such as Python or R for data analysis and manipulation Knowledge and experience with additional databases, such as ClickHouse and MongoDB, for handling diverse data storage needs Understanding of OLAP (Online Analytical Processing) concepts and experience with OLAP tools and technologies Familiarity with data warehousing concepts, including dimensional modeling and star schema design Excellent written and verbal communication skills, with the ability to present and explain data insights to non-technical stakeholders