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