Senior Sas Developer Analyst Resume
SUMMARY
- 9 years of professional experience with increasing responsibilities and successful record of achievements in application design, project management, data analysis, forecasting and statistical analysis.
- Experience on working with SAS under platforms such as Windows (XP, Vista) & UNIX.
- Possess expertise in tailoring project methodologies, determining system requirements and specifications for complex application development projects.
- Experience in managing and training associates on statistical analyses, validating models, time management and problem solving, offering them guidance in their day to day business activities.
- Excellent written and verbal communication skills.
- Experience in Base SAS, SAS/STAT (Bivariate & Multivariate analysis) SAS/ETS, SAS SQL & SAS Macros.
- Experience working with different databases (RDBMS) like MS Excel, Oracle, SQL.
- Experience in analysis of data for statistical analysis and reporting.
- Experience in producing external files and reports employing various SAS procedures.
- Ability to handle Statistical Reports.
- Proficient in Database Management - Preparation of Data for analysis including rolling up of data, standardization of relevant fields, de-duplication.
- Organizing data in an optimized format to allow fast, easy access and to do analysis on that.
- Strong exposure in Business and Data analysis, design and training of users.
- Experience on working with Excel, PowerPoint and ODS HTML formatted files to produce ad hoc reports to the Users and Business Partners for Presentation and further Analysis.
- Experience in SAS with Oracle / Access connectivity.
- Export / import data from databases and perform migration of data using Upload, Download.
- Experience on working with SAS Data Warehousing and OLAP.
TECHNICAL SKILLS
Statistical Tools proficient with: SAS, SQL, SPSS, Excel.
Proficient at Microsoft Office: Excel (Solver, tables), Word, PowerPoint.
Programming languages known: SAS, knowledge of C/C++.
Analytical knowledge: Statistics, Data Mining (data discovery), Forecasting, Credit Scoring, Fraud Detection, Time Series, Linear and Logistic Regression, and more.
PROFESSIONAL EXPERIENCE
Confidential, Texas
Senior SAS Consultant
Responsibilities:
- Responsible for supporting the Risk MI team in the definition, implementation monitoring and optimization of the portfolio credit policy and strategies for the brand producing standard and ad-hoc analyses.
- Providing advice and support to a team of Senior Analysts during the development of their projects.
- Determining key priorities and provide analytical and technical guidance to analysts to drive project completion.
- Developing asset quality monitoring.
- Identifying business trends based on economic and portfolio conditions.
- Executing strategic enhancements.
- Conducting weekly Flash Calls to update the weekly recovery numbers with all business partners.
- Communicating business trends, creating financial assessments and interpreting analytics.
- Work with and across functional project teams to ensure timely and accurate delivery of credit strategy and business projects.
- Load several xls, txt or csv files into SAS.
- Develop daily, weekly and monthly reports with SAS Macro Language.
- Analyze differences between portfolios from different areas.
- Translation of SQL code into SAS language.
- Translate business rules into technical language.
- SAS Support and documentation.
Environment: Base SAS v9.4, SAS Stat, SAS/Access, SAS/GRAPH, SAS/ODS, SAS Enterprise Guide, SAS Enterprise Miner, SAS Macros, Excel, Teradata, Windows, UNIX.
Confidential
SAS Developer Analyst
Responsibilities:
- Dividing the customer base into segments - Average Spend, Active Spend, Attrition, etc.
- Presenting the senior management about the key findings and proposals to increase Active Spend and reduce Attrition.
- Contributing to the decision-making processes and in driving strategies regarding sales force performance.
- Developing forecast models for plan the next financial year.
- Analyzing data and deciding on the variables to include in models and optimizing them.
- Development of multiple forecast scenarios based on statistical analysis of economic variables and potential forecast drivers.
- Participating in driving strategies with Strategies team by providing inputs and contributing to decision-making processes.
- Setting goals for business owners and tracking in-month progress.
- Training team members to help them learn Statistical Analytical processes and Data Base techniques using SAS, used for developing, optimizing and improving the models and daily processes.
- Assisting in the Vendor Goal Setting process for the Sales Strategies Team.
- Development of several daily, weekly and monthly reports into SAS.
- Development of the CGF methodology using transactional data from Teradata.
- Generate Downstream Performance report by channel, region and product with SAS.
- Develop a forecast methodology to calculate the BBA-V and BBA-C.
- Develop the Dashboard report using SAS.
- Responsible for the Daily Spend report.
- Development of several Ad-Hoc analysis and reports.
- Work remotely from Buenos Aires, Argentina and Bogota, Colombia.
Environment: Base SAS v9.4, SAS Macro Language, SAS Stat, SAS/Access, SAS/GRAPH, SAS/ODS, SAS/DDE, SAS Enterprise Guide, SAS Data Mining, PL/SQL, Oracle, UNIX, Teradata.
Confidential
Senior SAS Developer Analyst
Responsibilities:
- Responsible for Planning Quality and Reporting for analysis, programming and related technical and user liaison tasks.
- Perform requirements gathering and interpretation and develop technical design specifications through effective consultation with stakeholders and clients.
- Perform data analysis, programming, querying, reporting and ETL and job schedule configuration and testing.
- Provide professional advice and assistance to colleagues in the use of the management information system.
- Provide advice on schedule estimates, communicate project and task progress and give early notification of issues that may impact your efforts.
Environment: Base SAS v9.3, SAS/Access, SAS/GRAPH, SAS Enterprise Guide, SAS Data Integration, SAS Enterprise Miner, SAS Macro Language, Excel, Teradata, Windows, UNIX.
Confidential
Senior SAS Developer
Responsibilities:
- Work closely with business users to review, analyze and optimize various processes in the SDF department.
- Ensure accuracy of all SDF analytics using SAS Data Miner and SAS EGuide.
- Run Pre-forecasting and Forecasting analytics.
- Predict 10 and 25 years forecast for all electrical substation levels.
- Generate executive reports and ad-hoc reports.
Environment: SAS Enterprise guide 6.1, Base SAS V9.3, SAS Management Console, SAS Data Miner, SAS Macro Language, SAS/Access, SAS/GRAPH, SAS/STAT, SAS DDE, SAS/ODS, Oracle, UNIX.
Confidential
Senior SAS Developer
Responsibilities:
- Work closely with business users to review, analyze and optimize various processes in the SDF department.
- Data manipulation and transformation into SAS E Guide for the SDF department.
- Develop a Data Mining process to detect 15 minutes spikes, abnormal switching and fill data gaps with SAS Data Miner.
- Develop and accuracy of all SDF analytics using SAS.
- Generate web reports to visualize pre forecasting results.
- Data base redesign.
- Develop a user interface to generate the pre forecasting results.
- Develop of all the analytics to calculate the Rate of Grow (ROG) for each zone.
- Develop a model to predict Weather data and the POE50 loads (Probability of Exceedance).
- Predict 10 and 25 years forecast loads at the transformer level and zone-substation level using linear regression and time series.
- Generate executive reports and ad-hoc reports.
- Develop statistical studies to improve the forecast accuracy.
- Detection of Abnormal Switching, 15 minutes spikes and filling data gaps using Data Mining and statistical algorithms.
- Generation of ROG and Forecast Detail reports using SAS DDE.
- Generation of Weather data and Weather Corrected Load using the Montecarlo methodology with random numbers.
- 10 and 25 years forecast at the transformer and zone-substation level.
- Significant reduction of processing time.
- Increased time for analyze results.
- Flexibility to produce different forecast types.
Environment: SAS Enterprise guide 6.1, Base SAS V9.3, SAS Management Console, SAS Data Miner, SAS Macro Language, SAS/Access, SAS/GRAPH, SAS/STAT, SAS DDE, SAS/ODS, Oracle, UNIX.
Confidential
SAS Consultant
Responsibilities:
- Provide support in SAS Enterprise Guide, SAS Data Integration and SAS Forecast Server.
- Create reports with SAS Web Report Studio.
- Develop ad-hoc forecast with SAS Forecast Server.
- Develop What-if scenarios.
- Documentation.
Environment: Base SAS V9.3, SAS Enterprise guide 6.1, SAS Forecast Server, SAS Data Integration, SAS Macro Language, SAS/Access, SAS/GRAPH, SAS/STATAccenture (Consulting), Mexico.
Confidential
Responsibilities:
- Engaged with various stakeholders from different areas of the business to get an understanding of their processes and interpret their needs, often expressed in non-technical terms, and provided analysis and hands-on expertise in the construction of a Data Mart for the CRM department.
- Extraction Transformation and Loading from DB2 to UNIX Server using SAS Enterprise Guide process in the CRM area with SAS for a Data Mart.
- Collaborated with business users, managers and stakeholders to provide on-going business process re-engineering and optimization using SAS macro language.
- Responsible for the creation of datasets with unique Customer and Account of different credits.
- In charge of creating slow changing Dimension datasets
- Worked closely with stakeholders to review business needs, analyze data, and develop a suit of reports needed to provide business intelligence and MIS for the CRM department.
- Creation of reports for CRM area.
- Provided on-going support in SAS Enterprise Guide.
- Creation of a dataset with unique Costumer and Account for different credits.
- Implemented optimization tools which resulted in a considerable reduction of processing time.
Environment: Base SAS v9.1, SAS Enterprise Guide, SAS Macro Language, SAS/ACCESS, SAS/STAT, SAS/SQL, SAS Data Miner, ORACLE, Oracle Business Intelligence EE, Oracle Data Miner, PL/SQL, TOAD, MySQL, MS-OFFICE, Windows XP professional, Access, Excel, UNIX, DB2, Teradata, Fox Pro.
Confidential
Responsibilities:
- Responsible for data extraction, manipulation and transformation from SQL Server/FOX and for mapping and loading data into Base SAS for the Risk department.
- In charge of reviewing, re-engineering and integration of the business process for sending sensitive credit information of Confidential ’s customers.
- Monitored data integrity by ensuring customer information was up to date and accurate, and conducting on-going data audits and cleansing tasks.
- Worked closely with business users to review, analyze and optimize various processes within the organization, including optimization of the Monthly Update and Adviser Process using SAS macro language.
- Responsible for the migration of the Monthly Update Process from the Base SAS to SAS Enterprise Guide on IBM Server.
- Developed a Daily Updated Process based on the Monthly process already utilized in the business.
- Produced a number of complex reports for the MIS department.
- Provided support in Base SAS and SAS Enterprise Guide.
- Through the optimization of the Monthly Update and the Adviser process, the business experienced a considerable reduction in processing time for the information delivery in a timely manner.
- Conducted a project which involved on-going data audits used to ensure data integrity and accuracy, which resulted in the recovery of $4 million for the business.
Environment: Base SAS v9.1, SAS Enterprise Guide, SAS Macro Language, SAS/ACCESS, SAS/STAT, SAS/SQL, SAS Data Miner, ORACLE, MySQL, MS-OFFICE, Windows XP professional, Access, Excel, UNIX, DB2, Fox Pro.
Confidential
Responsibilities:
- Responsible for data cleansing, mapping and migration during a server upgrade.
- Extraction of information from database systems through specialized report development using the Oracle Intelligence Tool.
- Provided in-depth data analysis and forecast to give the business an insight into client behavior and trends based on various factors such as socio-economic status, most popular hour of the day, day of the week, and week of the month for banking.
- Market Basket with SAS Miner and with Oracle Miner.
- Designed and implemented a set of Association Rules which allowed the business to determine the success of particular campaigns in a timely manner.
- Provided process streamlining and optimization of the OBI system which resulted in a reduction of time accessing information needed for decision making and corporate reporting.
Environment: SAS Macro Language, SAS/STAT, SAS Data Miner, ORACLE, Oracle Business Intelligence EE, Oracle Data Miner, PL/SQL, TOAD.
Confidential
Junior Consultant
Responsibilities:
- Promoted in July 2007 due to the work that I did as a scholarship holder in January 2007.
- Responsible for the ongoing update and monitoring of executive information
- Provided on-demand analysis and reporting on executive information
- On-going provision of data integrity and system maintenance to ensure optimal performance and data quality.
- Provided analysis and process streamlining of the Bank's Granting Credit Portfolio, using Oracle and SPSS.
- Queried the database and provided data mining and analysis for on-demand custom mailing campaigns.
- Provided data modeling to compile the profile of clients who owned a credit card.
- Optimized the client selection process through the use of stored procedures in Oracle, which resulted in a better campaigns planning.
Environment: SAS Enterprise Guide, SAS/ACCESS, SAS/STAT, SAS/SQL, SPSS, ORACLE, Oracle Business Intelligence EE, Oracle Data Miner, PL/SQL, Windows XP professional, Access, Excel, UNIX.