Data Analyst
Current● Worked to elicit requirements, and facilitated and coordinated discussions between business and technical teams to clarify business, functional, non-functional, and Data requirements. ● Worked with the Data Management team to analyze sales data using tools like SQL, Access, and Excel (Lookup, Pivot tables) and predicting any future impacts on business.● Analyzed Data through querying via SQL from various database sources. ● Collected large financial data sets in Microsoft Excel and Access and created reporting for senior management. ● Analyzed current state SQL queries that generate current reports, and documented those logics in pseudocodes to make better understanding to technical folks for their technical requirement documentation.● Cleaned and processed third-party spending Data into maneuverable deliverables within a specific format with Excel and Python libraries such as NumPy and Pandas. ● Utilized Python and SQL Scripts to optimize complex SQL queries, to build and test various ETL data pipelines for Feature Implementation.● Responsible for developing database objects like Stored Procedures, Functions, Packages, and Triggers using SQL. ● Involved in relational and dimensional data modelling for creating Logical and Physical design of the database and ER diagrams using data modelling like Erwin. ● Used SQL to execute queries against the Oracle databases towards data analysis and data extraction into, among others, MS Access, MS Excel, and Text files. ● Created Excel reports and dashboards & and performed data validation activity using LOOKUP, HLOOKUP, Macros, formulas, index match, Slicer with (Pivot table, Get Pivot Data, Dashboards), Power View, Power Map, and Heat Map. ● Designed and developed weekly, and monthly reports by using MS Excel Techniques (Charts, Graphs, Pivot tables) and PowerPoint presentations.