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Sr. Data Analyst\data Modeler Resume

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Harrisburg, PA

OBJECTIVE:

To deliver quality solutions to complex business problems using new technologies within a high - tech environment.

SUMMARY:

  • More than 4 years of experience in end-to-end Business Intelligence solutions.
  • Recognized as the best analyst for my work in data analysis.
  • Handled Data for Data Analysis from various industries Retail, Telecom, Healthcare and Finance.
  • Excellent programming skills in SAS and SQL.
  • Extensively worked on sales and marketing data.
  • Good Understanding of Data warehouse and Data Mining, OLAP and OLTP concepts.
  • Proficient in design and development of various dashboards/ reports for Data Visualizations using Tableau.
  • Experience in writing PL/SQL Data Extraction, Transformation and Loading (ETL) in various Database applications.
  • Hands on experience in all phases of Data Modelling - Conceptual, Logical and Physical modeling.
  • Experienced with business requirements analysis, entity relationship planning, database design, reporting structures.
  • Involved in performance optimization of DWH solutions, both on ETL as well as Database side.
  • Create statistical models using SAS Base for business requirements.
  • Experienced on various Software Development Life Cycles including Analysis, Design, Development and Testing to solidify client requirements in conjunction with Software Developers.

TECHNICAL SKILLS:

BI Tools: SAS, Tableau

Data Modelling tools: CA ERWIN, PowerDesigner, Oracle Toad Data Modeler

Database: IBM DB2, Oracle(9i/10g/11g), Microsoft SQL Server (2008, 2012), Teradata, HP Vertica

Operating System: Windows XP, Windows 7, Unix

Software s: SAS Enterprise Guide, Toad, SQL Server Management Studio, Agile

Other Skills: MS Office, ETL - Informatica, Talend, MS Visio, AWS

PROFESSIONAL EXPERIENCE:

Confidential, Harrisburg, PA

Sr. Data Analyst\Data Modeler

Responsibilities:

  • Develop Data Models - Logical and Physical Data Models using CA ERWIN.
  • Create and Update source to target mapping documents required for ETL migration.
  • Perform Data analysis and Data Mining for various business requirements.
  • Perform Ad-hoc analysis on various databases and SAS datasets.
  • Perform regular data profiling and data quality checks.
  • Build risk models and forecast the future trends for the business.
  • Create, modify and truncate various tables and write complex SQL.
  • Support all phases of application building (DEV\QA\UAT\PROD).
  • Generate DDLs for project\client requirements.
  • Support Tableau teams with dashboard and report generations.
  • Perform Data validation to ensure smooth transition of data over different environments.
  • Create business documents and ETL flows for Development and testing teams.
  • Create and maintain SAS datasets required for the SAS programs.
  • Update and move data files to be used as source for the SAS programs.
  • Developed SQL Queries to fetch complex data from different tables in remote databases using joins.
  • Worked with the project management team within Agile methodology to ensure the quality and schedule of the application releases are met the requirements.
  • Conduct proof of concept for code migration from SAS to Talend.

Confidential, Chicago, IL

Data Analyst\Data Modeler

Responsibilities:

  • Develop Data Models - Logical and Physical Data Models using PowerDesigner.
  • Determined data rules and conducted Logical and Physical design reviews with business analysts, developers and DBAs.
  • Involved in extensive DATA validation using SQL queries and back-end testing.
  • Created and executed test cases for ETL jobs to upload master data to repository.
  • Experienced in Data Transformation and Data Mapping from source to target database schemas and also data cleansing.
  • Performed data analysis, Data Migration and data profiling using complex SQL on various sources systems including Oracle and Teradata.
  • Created SAS datasets by extracting data from Excel, Flat Files.
  • Identified and recorded defects with required information for issue to be reproduced by development team.
  • Created the ETL data mapping documents between source systems and the target for data warehouse.

Confidential, Jacksonville, FL

Data Analyst\Data Modeler

Responsibilities:

  • Develop Data Models - Logical and Physical Data Models using CA ERWIN.
  • Developed SQL ETL scripts to load the mapped data from source to Common Staging target. Data coming from different sources were de-normalized into a common format and loaded back to Teradata.
  • Creating, modify and delete various tables and write SQL queries for Teradata database.
  • Created sas proc sql code to transform the original datasets to target database for complex requirements using ETL process.
  • Performed data analysis, statistical analysis, generated reports, listings and graphs using sas tools - sas/base, sas/macros and sas/graph, sas/sql, sas/connect, sas/access.
  • Understand the business requirement and develop the ETL flows using MS Excel.
  • Perform regular data quality and data profiling.
  • Query optimization and performance tuning.
  • Develop Data Visualizations reports and dashboards using Tableau.
  • Attend daily scrum meeting and follow agile software development methodology.
  • Attend JAD sessions and User Acceptance Testing sessions with business.
  • Create and gather business documents and matrix documentation as per the requirements.

Confidential, Detroit, MI

Student Assistant

Responsibilities:

  • Managing general office work and providing assistance.
  • Set up audio and video for the events.
  • Scheduling and organizing the events.

Confidential

Data Analyst

Responsibilities:

  • Generate various weekly, monthly and Ad-Hoc reports using SAS Enterprise Guide and SAS Base.
  • Enhancing various existing reports with new analysis techniques and generating new reports as required.
  • Review the existing Teradata SQL code and make new changes upon business needs.
  • Created and maintained SAS datasets that are extracted from an Oracle Database.
  • Accessed External Excel files, Stored and Retrieved SAS data sets moving data through multi platforms.
  • Presenting analyses results and insights to different departments as needed.
  • Developed PL/SQL queries for data migration and analysis from Microsoft Excel/Access to Oracle.
  • Extracted sales data from the database using sas/proc, sas/sql procedures and created datasets.
  • Developed programs and datasets in SAS that can be used for data analysis and presentation.
  • Organized and analyzed data to prepare and present report to senior business management and involved in data transformation and cleansing operations.
  • Build statistical models by using data from different databases like IBM DB2, Teradata and SQL Server to predict the future market trends.
  • Retrieved the data and produced reports from the databases using ad-hoc queries.
  • Provided statistical programming expertise in the production of analyses, tabulations, graphs and listings obtained from the excel data.

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