Collect and organize large data sets from various sources using SQL queries. Perform advanced data analysis using Python and other analytical tools to uncover insights and patterns. Develop and maintain efficient and accurate data profiling techniques to evaluate the quality of data. Collaborate with cross-functional teams to identify and address data quality issues. Design and implement data cataloging and classification systems to ensure data is easily accessible and accurate. Create organized and user-friendly documentation regarding data collection, analysis, and profiling processes. Collaborate with stakeholders to understand their data analysis needs and develop tailored solutions. Assist in the creation and maintenance of dashboards, reports, and visualizations to present data-driven insights. Stay up-to-date with industry trends and developments in data analysis, profiling, and cataloging. Collaborate with other data analysts and professionals to promote knowledge sharing and best practices.

 

Proven experience as a Data Analyst or similar role.Proficiency in SQL for data querying, manipulation, and analysis.Strong knowledge of Python and its libraries for data analysis, such as Pandas, NumPy, and SciPy.Experience with data profiling and analysis techniques.Familiarity with data cataloging and classification methodologies.Strong analytical and problem-solving skills.Excellent attention to detail and ability to work with large and complex data sets.Ability to collaborate effectively with cross-functional teams and stakeholders.Strong written and verbal communication skills.