Senior Data Analyst
Current• Responsible for providing data analysis that focused on improving user experience and optimizing user retention.• Wrote complex ad-hoc MySQL queries involving correlated subqueries, window functions and common table expressions to track user activity metrics such as retention rate and daily active user. Optimized existing queries to run faster on large dataset. Advanced information management and new data processing techniques may be applied to extract the value locked up in this data called Hadoop (HDFS) along with processing large data sets in parallel across a Hadoop cluster and the utilization of Hadoop MapReduce framework.• Created a multi-page report dashboard in Google Looker (Data Studio) using Google Big Query data. • Write Complex SQL queries to reflect those rules and be able to validate the mappings by running these test scripts and checking if the data in target table populates correctly by writing complex SQL queries.• Worked with project management business teams, and departments to assess and refine requirements to design/develop Bl solutions using Tableau.• Use Power BI to analyze complex datasets and visualize data trends, patterns, and outliers to aid in decision-making processes Produced and enforced data standards and maintain a repository of data architecture artifacts and procedures.• Researched and developed hosting solutions using Tableau and other 3rd party hosting and software as a service solution.• Designed and maintained MySQL databases, and created pipelines using user-defined functions and stored procedures for daily reporting tasks.• Developed dashboards in Tableau and present data to track KPIs and product performance using data from various sources such as MS Excel, AWS S3, AWS RDS, AWS Redshift, JSON and XML.• Built ETL pipelines to retrieve data from NoSQL databases and load aggregated data into the analytical platform.