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Risk Data Analyst Resume

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SUMMARY

  • Highly motivated, tech - savy professional with 10+ years of work experience in US Banking and Healthcare verticals
  • Expertise in different activities of MIS Rationalization & Standardization, Self Service, Data Modeling, Data Mapping, Data Profiling, Data Quality, Data Management,, Data Analysis and exploration.
  • Good Hands on experience in data mining activity from different data bases Oracle, Tera data, SQL Server and DB2 using SAS and SQL
  • Build complex queries in SQL for critical data analysis and ad-hoc questions
  • Strong technical skills in SQL, SAS and Teradata environments
  • Expert in requirements gathering, documentation & convert business requirements into technical specifications.
  • Build High level design documents(HLD) for the project and add detailed information such as Entity, Subject Area’s, Source to Target mapping docs and other process flow
  • Strong Banking and Financial Experience with different LOB’s such as Retail, Credit Card, Campaign Management and Auto Lending
  • Developed Risk to Finance reports and make sure that both are aligned for further reporting needs
  • Understanding the business requirements and guide the team members to complete the complex specifications/ projects.
  • Able to manage project individually and also motivate team towards organization objective.
  • Expert in requirements gathering, documentation & convert business requirements into technical specifications.
  • Expert in designing analytical data warehouse (ADW) environment for all the analytical and reporting needs for an organization.
  • Involved in designing Conceptual, Logical and Physical data models while setting up Analytical data warehouse
  • Quick in understanding data, data environment & Problem solving skills
  • BASE SAS Certified Programmer (Issued on 31MAR2008)

TECHNICAL SKILLS

Languages: SQL, Teradata, SAS Revolutionary R and Hadoop

Data Base: Oracle, SQL Server, MS Access and Teradata

Reporting Tools: Cognos and Tableau

PROFESSIONAL EXPERIENCE

Confidential

Risk Data Analyst

Responsibilities:

  • Responsible for create robust reporting environment for Risk Analytics for both Card and Auto lending businesses
  • Gathering Requirements from business and document as per the HLD guide line in order to implement in data environment
  • Build a test cases in the Agile environment and make sure that developed environment is more robust
  • Responsible for reviewing all the Data mappings, Data Quality, Data Profiling, Meta data management and data validations for end to end project
  • Make sure that CCAR and OCC Regulatory reporting need to be performed from the designed data environments
  • Uses advanced techniques to optimize the space, query time, loading time and other ETL activities
  • Specialized in converting business requirements to technical specifications
  • Built robust process for reporting starting from generating a report to till delivery to the end users through automated process
  • Designing a controls and placed them into process to make sure that BCBS requirements to be implemented
  • Detailed validation steps on each report to make sure that accuracy is consistent
  • Extensively support on all business/Policy/Strategy team ad-hoc’s for their needs
  • Data validation, process control, compliance and documentation
  • Support and engage with Corporate, Controllers and Finance for periodic submission of data used for regulatory reporting purposes
  • Good understanding of regulatory compliance requirements surrounding BASEL, Risk Appetite and stress testing
  • Develop SAS/SQL queries based upon documented business requirements to transform customer data and to create audience lists

Confidential

Senior Data Analyst

Responsibilities:

  • Project Initiation, Project Management and Project Plan Preparation
  • Requirements gathering and prepare High Level documentation (HLD).
  • Convert business requirements into technical specifications.
  • Providing effective solution and robust architecture to existing processes
  • Direct interaction with Partners and process owners of LATAM
  • End to End Project Delivery involves development, Testing and UAT activities
  • Many transformation are used while designing end to job to modify data into desired format
  • Implement integrity, validation and audit while designing job
  • Leverage LSF tool to schedule the job in order to execute w/o any manual intervention
  • Built Indexes on final data marts for quick response to our queries
  • Generate Automated Validation Reports to identify accuracy of data in process flow
  • Extensively uses Transformations like Table Loader, File Reader, File Writer, Frequency, Summary Tables, Fact Lookup, Loop, Return Code Check, Splitter, SCD’s, Lookup, Create Match Code…etc.
  • Deploy and redeploy jobs for the purpose of schedule after design or modifying job

Confidential

Senior Data Analyst

Responsibilities:

  • Prepare Monthly BAU Reports Generation and Ad hoc projects/reports
  • MIS Rationalization and Standardization across Retail Bank NA Teams
  • Create robust data marts with all business key metrics which will help AAS Teams for their Analytical Work
  • Drive the campaigns successfully by measuring campaign effectiveness and tracking on weekly and monthly basis
  • Specialized in Affiliate Marketing Campaigns and Reporting
  • Post Campaign Analysis and Reporting for retail products
  • Migrate Manual MIS into Self Service tools to make more user friendly to the users
  • Educate partners in different technologies in order to introduce self service tools
  • Work with other technology teams like Cognos and Qlikview
  • Guiding team members and teach them different real time scenarios
  • Recognize efforts of team members and make sure that reward them accordingly
  • Direct interaction with Partners and end to end project management
  • Extensively used SQL, Teradata, BASE SAS, SAS SQL, SAS MACROS and intermediately Cognos

Confidential

Data Warehouse Analyst

Responsibilities:

  • Requirements Gathering, Rationalization & Documentation
  • Understand existing environment, different systems and provide effective solution
  • Apply Data modeling techniques on Raw files in order to process data effectively and loading into target tables
  • Rationalize variables, Remove Duplicates & un wanted variables across all lines of businesses
  • Analyze historical data in current system and load it into new data warehouse
  • Learned and Created SAS Data Integration Studio Packages to perform ETL Process from Source to Target Tables
  • Create Analytical Data marts on top of the data warehouse in order to support Analytics and business teams for their BAU Reporting activities
  • Data mapping source to target based on the business requirements
  • Direct attributes to Fact and Dimension tables in order to create robust architecture
  • Apply slowly changing Dimensions while load data from source to target
  • Involved in creating Data Dictionary and High Level Design documentation

Confidential

Data Analyst

Responsibilities:

  • Competitor analysis and Monthly Dash board creation across different area’s
  • Performing data analysis and providing the insights to customer by analyzing the data in a granular level.
  • Extract data from multiple sources and applying data validation checks in order to generate accurate reports and dashboards.
  • Tracking patient prescription claims and perform patient longitudinal analysis
  • Incorporate complex logic on data using SAS in order to track customer is consuming the same drug during treatment period
  • Automate the end to end process of dashboard creations using SAS macro’s programming
  • Involved in preparing decks to the directors taking with the key metrics
  • Gathering the Feedback and suggestion from the stake holders, make them satisfied by implementing those enhancements.
  • Expanded the scope of our team responsibilities to the different branded teams
  • Getting more business from same customer by presenting our deliverables to the other stake holders in BMS.
  • Using SAS Macro’s to import data into SAS and automate the process to decrease the manual intervention.
  • Exporting SAS datasets into the mdb, .txt, .csv and .xls… etc using the various types of exporting methods.
  • Generating simple reports using the Proc Report, Proc Tabulate, Proc Means and other Procedures also.
  • Performing data analysis and providing the insights to customer by analyzing the data in a granular level.

Confidential

Data Analyst

Responsibilities:

  • Extracting data from the Warehouse/SQL server/Flat files using SAS and SQL
  • Performing data analysis and generating the summary reports
  • Creates/Modifying the input files using SAS for the customer reporting Tools.
  • Automating the standard process to reduce manual interventions using SAS
  • Updating the database as per the customer requirement using SQL Queries
  • Preparing the demo database for the purpose of training.
  • Working independently on all projects. Never missed TAT and Accuracy.
  • Performing importing and exporting the data using SAS and convert data in a required format.
  • Data cleansing, analyzing and generating statistics report on database.
  • Extensively working with onshore team members to deliver the projects in quick turnaround time

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