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Jennifer Sayles
4604 Ramshead Drive  Valrico FL 33594  813-716-0562  Saylesjen@yahoo.com
Senior IT Data Analytics Analyst
DATA MINING  PROJECT MANAGEMENT  CUSTOMER ORIENTED
Innovative senior-level data analyst with more than fifteen years of experience in information
technology specific to query building, report development, data analysis and data visualization.
Proficient in business analytics, informatics, and project evaluation. Adept at working efficiently under
tight deadlines, high volumes and through multiple interruptions while maintaining positive
interpersonal relationships. Highly adept at writing queries for testing and investigation and executing
initiatives to improve business processes through technology.
Results driven leader executing high-quality advanced statistical and inferential analysis programs to
provide specialized data analysis utilizing technical skills including:
Technical Skills
Languages: MySQL, SAS
Platforms: Windows MS, Unix, Oracle
IDE: Ultra Edit
OS: Windows MS
Tools: Toad, Aqua Data Studio, Cognos
Agile/Waterfall SDLC Methodology
Skills Summary
 ADVANCED ANALYTIC SKILLS AND EXTENSIVE EXPERIENCE WITH MS EXCEL, AGILE AND SAS
 PERSONAL AND GROUP WORK ORGANIZATION COUPLED WITH TIME MANAGEMENT SKILLS
 EXCELLENT COMMUNICATION AND PROJECT MANAGEMENT SKILLS
 MULTIPLE COMPLEX TASKS-HANDLING AND EXCELLENCE IN SELF-AUDIT WORK
 WELL-DEVELOPED INTERPERSONAL SKILLS WITH DEMONSTRATED ABILITY TO EFFECTIVELY INTERACT WITH
ALL LEVELS WITHIN AND OUTSIDE OF THE ORGANIZATION
Achievement Awards
 Awarded Bravo Award consecutively Lead Analyst, for project management 2015
 Lead Project Navigator- the overall redesign of Membership Marketing reporting
 Selected to serve on Leadership and Training panel
Career Progression
Optum Services Inc., Minneapolis, MN 1993 to Present
Senior IT Data Analytics Analyst
Organizes, sorts and filters data in order to distinguish patterns and recognize trends. Develops and
maintains data preparation and validation routines to support data mining and has extensive
experience in creating complex data mining algorithms. Selects, recommends and applies appropriate
analytic and statistical methodologies and techniques to execute against an analysis plan or research
objectives well under the deadline. Utilizes data warehouses/marts and/or develops data mining
analyses to support business decisions.
 GATHERS AND ANALYZES BUSINESS REQUIREMENTS
-Analyze and documents business requirements (front-end and back-end)
-Analyze business intelligence requirements (e.g., standard/ad hoc reporting, dashboards,
scorecards, visualization, and analytics)
-Identify and analyze applicable source data (e.g., internal/external data feeds, systems,
databases, "sources of truth”- the host system)
-Review, analyze and update project estimates, timelines, dependencies and deliverables to
ensure achievement of project goals
 UTILIZE DESIGN DATA WAREHOUSE INFRASTRUCTURE/SOLUTIONS
-MANAGE data flow (e.g., data acquisition, formatting, dependencies)
-Interpret data models (e.g., relational/dimensional, logical/physical, new subject areas)
 DEVELOP AGILE TECHNICAL SPECIFICATIONS/DESIGN DOCUMENTS
-Develop Agile specifications to support data mining processes and capabilities
 DEVELOP/ENHANCE/INTEGRATE DATA WAREHOUSES/DATA MARTS AND BUSINESS INTELLIGENCE
SOLUTIONS
-Develop business intelligence/reporting solutions as defined in technical specifications
-Develop data extraction/load/transformation solutions as defined in technical specifications (e.g.,
ETL)
-Create production support documentation and ensure that it accurately reflects established
technical process and data flow and supports solutions
 TEST DATA WAREHOUSES/DATA MARTS
-Develop technical system test cases to support system/integration tests
-Analyze/fix defects identified in testing (e.g., root cause analysis)
-Identify scenarios that may require performance testing, and communicate to appropriate testing
groups (e.g., QA)
-Work with Infrastructure Services to resolve issues identified in specific testing environments
(e.g., DBA)
Organizations & Affiliations
 Technical Business Analyst-Data & Analytics
 ITMF: Information Technologies Managers Forum
 Florida Technology Professionals
 Technical Business Analyst-Data & Analytics Big Data Professionals Scientist Architect Analyst
Developer Engineer CDO Analytics Mining Science
4604 Ramshead Drive  Valrico FL 33594  813-716-0562  Saylesjen@yahoo.com

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Jennifer Sayles Resume

  • 1. Jennifer Sayles 4604 Ramshead Drive  Valrico FL 33594  813-716-0562  Saylesjen@yahoo.com Senior IT Data Analytics Analyst DATA MINING  PROJECT MANAGEMENT  CUSTOMER ORIENTED Innovative senior-level data analyst with more than fifteen years of experience in information technology specific to query building, report development, data analysis and data visualization. Proficient in business analytics, informatics, and project evaluation. Adept at working efficiently under tight deadlines, high volumes and through multiple interruptions while maintaining positive interpersonal relationships. Highly adept at writing queries for testing and investigation and executing initiatives to improve business processes through technology. Results driven leader executing high-quality advanced statistical and inferential analysis programs to provide specialized data analysis utilizing technical skills including: Technical Skills Languages: MySQL, SAS Platforms: Windows MS, Unix, Oracle IDE: Ultra Edit OS: Windows MS Tools: Toad, Aqua Data Studio, Cognos Agile/Waterfall SDLC Methodology Skills Summary  ADVANCED ANALYTIC SKILLS AND EXTENSIVE EXPERIENCE WITH MS EXCEL, AGILE AND SAS  PERSONAL AND GROUP WORK ORGANIZATION COUPLED WITH TIME MANAGEMENT SKILLS  EXCELLENT COMMUNICATION AND PROJECT MANAGEMENT SKILLS  MULTIPLE COMPLEX TASKS-HANDLING AND EXCELLENCE IN SELF-AUDIT WORK  WELL-DEVELOPED INTERPERSONAL SKILLS WITH DEMONSTRATED ABILITY TO EFFECTIVELY INTERACT WITH ALL LEVELS WITHIN AND OUTSIDE OF THE ORGANIZATION Achievement Awards  Awarded Bravo Award consecutively Lead Analyst, for project management 2015  Lead Project Navigator- the overall redesign of Membership Marketing reporting  Selected to serve on Leadership and Training panel Career Progression Optum Services Inc., Minneapolis, MN 1993 to Present Senior IT Data Analytics Analyst
  • 2. Organizes, sorts and filters data in order to distinguish patterns and recognize trends. Develops and maintains data preparation and validation routines to support data mining and has extensive experience in creating complex data mining algorithms. Selects, recommends and applies appropriate analytic and statistical methodologies and techniques to execute against an analysis plan or research objectives well under the deadline. Utilizes data warehouses/marts and/or develops data mining analyses to support business decisions.  GATHERS AND ANALYZES BUSINESS REQUIREMENTS -Analyze and documents business requirements (front-end and back-end) -Analyze business intelligence requirements (e.g., standard/ad hoc reporting, dashboards, scorecards, visualization, and analytics) -Identify and analyze applicable source data (e.g., internal/external data feeds, systems, databases, "sources of truth”- the host system) -Review, analyze and update project estimates, timelines, dependencies and deliverables to ensure achievement of project goals  UTILIZE DESIGN DATA WAREHOUSE INFRASTRUCTURE/SOLUTIONS -MANAGE data flow (e.g., data acquisition, formatting, dependencies) -Interpret data models (e.g., relational/dimensional, logical/physical, new subject areas)  DEVELOP AGILE TECHNICAL SPECIFICATIONS/DESIGN DOCUMENTS -Develop Agile specifications to support data mining processes and capabilities  DEVELOP/ENHANCE/INTEGRATE DATA WAREHOUSES/DATA MARTS AND BUSINESS INTELLIGENCE SOLUTIONS -Develop business intelligence/reporting solutions as defined in technical specifications -Develop data extraction/load/transformation solutions as defined in technical specifications (e.g., ETL) -Create production support documentation and ensure that it accurately reflects established technical process and data flow and supports solutions  TEST DATA WAREHOUSES/DATA MARTS -Develop technical system test cases to support system/integration tests -Analyze/fix defects identified in testing (e.g., root cause analysis) -Identify scenarios that may require performance testing, and communicate to appropriate testing groups (e.g., QA) -Work with Infrastructure Services to resolve issues identified in specific testing environments (e.g., DBA) Organizations & Affiliations  Technical Business Analyst-Data & Analytics  ITMF: Information Technologies Managers Forum  Florida Technology Professionals  Technical Business Analyst-Data & Analytics Big Data Professionals Scientist Architect Analyst Developer Engineer CDO Analytics Mining Science 4604 Ramshead Drive  Valrico FL 33594  813-716-0562  Saylesjen@yahoo.com