Data Analyst Resume
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SUMMARY
- 3+ years of Data Analyst experience.
- Experience using MS Excel, SQL, and/or other applications to perform various types of analysis.
- Skilled in Microsoft Access, PowerPoint, SQL Server, and various RDBMS.
- Installation, testing, configuration, maintenance, and troubleshooting of all SQL Server components.
- Experience with BI tools such as Tableau and PowerBI.
- Proficient in Data Analysis, System Analysis, Business Requirement Gathering, and Data Warehousing concept.
- Skilled in writing Business Requirement Documents (BRD), Use Cases, Functional Specifications; well versed with Use Case Diagrams, User stories, Process flow charts, and UML modeling tools such as MS Visio.
- Expert in Agile Methodology of SDLC for implementing Business projects.
- Experience with collaborative tools such as Rational Requisite Pro, Rational Team Concert (RTC), SharePoint, Clarity, and JIRA.
- Knowledge of Power BI and Tableau to import and analyze data from various sources such as SQL Server.
- Create various filters and parameters for reports using Tableau desktop.
- Skilled in Microsoft Excel (e.g., formulas, pivot tables, graphing).
- Experience in data migration tasks using T/SQL, SQL Loader.
- Experience in Data Migration, Data Transformation, Data Conversion, and Data loading.
TECHNICAL SKILLS
- T - SQL
- PL-SQL
- Excel
- Access
- Tableau
- PowerBI
- MicroStrategy
- JIRA
PROFESSIONAL EXPERIENCE
Data Analyst
Confidential
Responsibilities:
- Create and run queries as necessary for project deliverables using SQL
- Work closely with the Risk, Team Leads, and stakeholder to come up with a plan to effectively find the correlation of at-risk enrollment behaviors.
- Evaluate data pulled for accuracy and relation to data requests
- The support leadership team in explaining and disseminating information to appropriate stakeholders
- Develop statistical methods to evaluate and analyze numerical data using computer software, including MS Access, MS Excel, Oracle, SQL, and/or other applications, for assigned projects
- Develop innovative analytical approaches and predictive modeling techniques for reactive or proactive data analysis, sampling, and study design
- Develop trend reports to identify the potential program or systematic vulnerabilities
- Provide expertise and guidance to unit and corporate staff as required.
- Represents and participates in group or committee discussions.
- Involve in designing and creating Tables, Views, complex Stored Procedures, and Indexes using T-SQL.
- Improve query performance.
- Data Profiling for accurate and better reporting and analysis.
Data Analyst
Confidential
Responsibilities:
- Extracted, compiled, and tracked data, and analyzed data to generate reports
- Participated with troubleshooting, and problem resolution efforts
- Performed daily data manipulation using SQL and prepared reports on a weekly, monthly, and quarterly basis.
- Used Excel functions to generate spreadsheets and pivot tables
- Identified, analyze, and interpret trends or patterns in complex data sets
- Cleansing and Blending multiple data sources to allow for different views on application data in a single dashboard
- An aided team in data collection to be used for Tableau visuals
- Conducted presentations to other lines of business as a meta role to show the value of Tableau as a BI tool
- Perform data manipulation operations like import/export data from various external file formats using SQL
- Generated a variety of business reports from SQL server using excel with a pivot table and pivot chart
- Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality
- Checked for invalid/out of range data
- Perform data manipulation operations like import/export data from various external file formats using SSIS
- Develop, update, and maintain current SQL programs
- Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality
- Acquire data from primary or secondary data sources and maintain databases/ data systems