Business Data Analyst Resume
0/5 (Submit Your Rating)
Princeton, NJ
SUMMARY
- 7 years of Industry experience as a Data Analyst/DW Analyst with solid understanding of Business Requirements Gathering, Data warehousing, Business Intelligence, Data Mapping and Data Modeling.
- Proficient in gathering and converting User Requirements into Business Requirements and Functional Requirement Specifications (FRS) and use Modeling tools like Rational Rose and Microsoft Visio for requirements modeling. \
- Excellent Software Development Life Cycle (SDLC) with good working knowledge of testing methodologies, disciplines, tasks, resources and scheduling.
- Experience in Business Intelligence (BI) Technologies like Microsoft Business Intelligence (SSIS, SSAS, and SSRS), Informatica, Business Objects, and OBIEE
- Experience in development methodologies like RUP, SDLC, AGILE, SCRUM and Waterfall.
- Experienced on Cloud Database and Data Warehouse (AQL Azure and AWS Redshift/RDS)
- Very good understanding of DataWarehousing concepts,DataAnalysis,DataWarehouse Architecture and Designing.
- Experience working withdatareporting tools, includingDataAdvantage.
- Hands - on experience with an enterprise Content Management System
- Worked on employee benefits, health insurance, defined-benefit pensions, andhealthcarepayer operations.
- Very good understanding ofDataWarehousing concepts,DataAnalysis,DataWarehouse Architecture and Designing.
- ExperienceinDataAnalysis,DataValidation,DataCleansing,DataVerification and identifyingdata mismatch.
- Good experiences in DimensionalDataModeling using Star Schema and Snow Flake Schema using Ralf Kimball methodology and well versed with UNIX shell scripting and Oracle SQL programming.
- Experience using query tools for Oracle, Sybase, Teradata, DB2 and MSSQLServer to validate reports and troubleshootdataquality issues.
- Developed ETL Mapping Document based onDataprofiling and source system analysis.
- Strong experience in Excel and MS Access
- Expert in Teradata,SQLServer and Oracle systems.
- Wrote PL/SQL statement and stored procedures in Oracle for extracting as well as writing data.
- Creative and aggressive self-starter with integrative thinking skills, capable of communicating creative ideas through graphical analysis charts and statistical data display
PROFESSIONAL EXPERIENCE
Confidential, Tampa, FL
Sr. Data Analyst
Responsibilities:
- Lead Business Intelligence reports development efforts by working closely with Microstrategy, Teradata, and ETL teams.
- Used SDLC (System Development Life Cycle) methodologies like the RUP and the waterfall.
- Assisted in creating fact and dimension table implementation in Star Schema model based on requirements.
- Develop test plans based on test strategy. Created and executed test cases based on test strategy and test plans based on ETL Mapping document.
- Develop, build and manage Reporting Services (SSRS) reports using both SSAS cube and relational database sources including distribution of reports using subscription services
- Involved in writing T-SQLProgrammingfor implementing Complex Stored Procedures and User Defined Functions for different tasks.
- Establish documentation for Agile methodology for implementation with a very water-fall-centric development team
- Optimizing and tuning the Redshift environment, enabling queries to perform up to 100x faster for Tableau and SAS visual analytics
- Wrote complexSQLqueries for queryingdataagainst differentdatabases fordataverification process.
- Prepared the Test Plan and Testing Strategies forDataWarehousing Application.
- Preparation of technical specifications and Source to Target mappings.
- Extensively usedSQLprogrammingin backend and front-end functions, procedures, packages to implement business rules and security
- Implemented variousDataMining techniques using variousPythonpackages, SPSS Statistics and SPSS Modeler tools
- Helped the Testing team by writingSQLstatements to validate the reports
- Used multipledataproviders, Master/Detail, cross tab, Charts.
- Created several Ad-hoc reports in Business Objects XI R2 to validate thedata.
- Tested different types of reports, like Master/Detail, Cross Tab and Charts (for trend analysis)
- Defects identified in testing environment where communicated to the developers using defect tracking tool Quality Center.
- Responsible for differentDatamapping activities from Source systems to Teradata
- Developed scripts, utilities, simulators,datasets and other programmatic test tools as required executing test plans.
- Tested a number of complex ETL mappings, mapplets and reusable transformations for dailydata loads.
Confidential, Long Beach, CA
Sr Data Analyst
Responsibilities:
- Elicit requirement to be able to generate the tools and info needed to process the ICD-10 information by 2013 (Claims Processing, Training etc.)
- Createddatarequirements and testdatato test type II slowly changing dimension tables.
- Prepareddataquality criteria and governance forDataWarehousing Application.
- Extensively usedSQLprogrammingin backend and front-end functions, procedures, packages to implement business rules and security.
- Used to perform ETL on flat files before loading into aSpotfiredashboard
- Worked with SSIS system variable, passing control and audit variables between packages.
- Written complexSQL, T-SQLqueries for queryingdataagainst differentdatabases fordataverification process anddataretrieving process.
- Assigned tasks among development team monitored and tracked progress of project following agile methodology.
- Provided Production support to Tableau users and Wrote Custom SQL to support business requirements.
- Developed reports using the Teradata advanced techniques like rank, row number.
- Developed scripts, utilities, simulators,datasets and other programmatic test tools as required executing test plans.
- Creating test cases for ETL mappings and design documents for production support.
- Setting up, monitoring and using Job Control System in Development/QA/Prod.
- Analyzeddatafrom various sources like Oracle, flat files andSQLServer.
- Worked ondataissues with migration from development to testing.
- Produced and verified analysis datasets, tables, listings and figures usingSASfor clinical trial data, medical record data, and claim data.
- UsingPythonindatacollection programming.
- Thorough understanding of thebusinessprocess to help determine the user needs.
- Review Implementation Plan and testing types, techniques and environmental needs.
- Defect Management&triage, provide expertise to resolve defects that raise business issues.
- Actively involved in documentation of UAT (User Acceptance Test), Functional Test, Integration Test Scenarios and Bug Log.
- Coordinated data profiling/data mapping with business subject matter experts, data stewards, data architects, ETL developers, and data modelers.
- Actively participated in weekly status meeting with Team members, Team managers, Business analysts & Technical team and also generated Weekly Status Reports to the Team manager.
Confidential, Deerfield, IL
Data Analyst
Responsibilities:
- Formulated and defined systems scope and objectives through research and fact-finding combined with an understanding of applicable business systems and industry requirements following RUP.
- Responsible for gathering requirements from Business Analysts and Operational Analysts and identifying thedatasources required for the requests.
- Very good knowledge onHealthcareprocesses,healthcaredata, claimsdata, providersdata, patientdata, encounters etc.
- Worked ondataprofiling,dataanalysis and validating the reports sent to third party.
- Designed and developed Ad-hoc reports as per businessanalyst, operationanalyst, and project managerdatarequests.
- Extracted, Analyzed and PresentedDatain a Graphical Format, such a way that helped project manager to make Business Decisions.
- Highly experienced in Performance Tuning and Optimization for increasing the efficiency of the scripts.
- Used Joins like Inner Join, Outer join while creating tables from multiple tables.
- Created numerous scripts with Teradata utilities BTEQ, MLOAD and FLOAD.
- Communicated with business users and analysts on business requirements.
- Gathered and documented technical and business Metadataabout thedata.
- Worked onDataVerifications and Validations to evaluate thedatagenerated according to the requirements is appropriate and consistent.
- Tested the database to check field size validation, check constraints, stored procedures and cross verifying the field size defined within the application with metadata.
- Analyzed data on the consumer market to determine target customers and on the supply market to customize services usingSASdata step.
- Experienced in using OLAP functions like sum, count, csum and etc.
- Proficient in working on Set, Multiset, Derived, Volatile Temporary tables.
- Proficient working in loadingdatainto staging tables via views.
- Created daily and monthly reports usingSQLand UNIX for Business Analysis.
- Designed and developed weekly, monthly reports related to the marketing and financial departments using TeradataSQL.
- Experience in Power Point Presentation (FinancialData, Charts).
- Expertise in generating graphs using MS Excel Pivot tables.
- Extracteddatafrom existingdatasource, Developing and executing departmental reports for performance and response purposes by using oracleSQL, MS Excel.
- Extracteddatafrom existingdatasource and performed ad-hoc queries.
Confidential, Princeton, NJ
Business Data Analyst
Responsibilities:
- Designed DataStage ETL jobs for extracting data from heterogeneous source systems, transform and finally load into the Data Marts.
- Involved in Managing Data modeling project from Logical design and implementation of Sybase Database
- Identified source systems, their connectivity, related tables and fields and ensure data suitably for mapping.
- Designed the business requirement collection approach based on the project scope and SDLC methodology.
- Used MS Visio for Process modeling, Process mapping and Business Process flow diagrams.
- Expertise in development of High level design, Conceptual design, Logical and Physical design for Database, Data warehousing and many Distributed IT systems
- Manipulating, cleansing and processing data usingSAS/Base andSAS/SQL.
- Generated ad hoc reports, analyses, and data files in response to specific data inquiries usingSQL, Power Pivot, Excel, and Access
- Worked closely with the Enterprise Data Warehouse team and Business Intelligence Architecture team to understand repository objects that support the business requirement and process.
- Reported and analyzed all application defects, user issues and resolution status to the higher manager using Mercury Test Director.
- Translated customer/clients' needs into new features and new services.
- Develop process improvement projects by gathering and analyzing data.
- Define Key Process Areas for different Projects.
- Extensive knowledge of CRM tool Salesforce.com implementation cycle in Sales, Marketing, Service and support modules..