SQL Data Analyst Resume

SUMMARY

Bright IT professional with over five (4) years of experience in the domains of Retail, Insurance, and Healthcare. With a Proven record of excellence in data analysis in the private sector and the healthcare domain, I am able to work well individually, as well as part of a team.

TECHNICAL SKILLS

Databases: MS SQL server 2008/2018, MySQL, MS Access

BI/ Visualization Tools: Tableau Desktop, Tableau Server, Power BI

Querying Tools: SQL Management Studio 2008/2018, SQL Plus, SQL Developer, PL - SQL

Querying Language: SQL, PL/SQL, TSQL

Programming Language: TSQL/PL-SQL

PROFESSIONAL EXPERIENCE

SQL Data Analyst

Confidential

Responsibilities:

Execute ad hoc reporting requirements for executive management team.
Perform SQL queries, created tables, and generated reports in Business Objects.
Create and modified Views and other database objects within SQL environment for Business Analysts.
Gather Business Requirements by conducting detailed interviews with business users, stakeholders, and SMEs.
Perform required data analysis, interpretation, correction and document presentationfor various assignments.
Collaborate on a regular basis with the PM and development team during various stagesf each project.
Manage schedules and collaborate with different teams working on each project.
Prepare project progress reports and status reports and submit to the management team on an ongoing basis.
Provide BI Analysis for the marketing team to review impact on key metrics in relationto program.
Work with performance improvement initiatives through data collection and documentation review.
Creating complex SQL queries and scripts to extract and aggregate data to validate the accuracy of the data.
Created Dashboards with Tableau for Reporting purposes.
Created SQL views for tableau connections in MSSQL Server.
Wrote queries to fetch data from different table by using JOINS, Sub-queries, Correlated subqueries
Responsible for error handling, stored procedure, creating tables, views, triggers etc.
Prepare high level analysis reports with Excel
Provides feedback on the quality of data including identification of billing patterns and outliers
Documenting the extent to which data fails to meet threshold reporting requirements
Analyze and Assess invalid and missing data in the Claims Data
Identify and document limitations in data quality that jeopardize the ability of internal and external data analysts

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