Career OverviewExperienced Data Analyst with extensive skill in Data Modelling, Analysis, and Reporting using SSMS, SSRS, Crystal Reports, and CRM applications. Detail-oriented professional with proficient technical documentation, and project management skills. Education and TrainingUniversity of Central OklahomaEdmond,OKExpected in2014 BBA Management Information System-GPA Q Tech Solutions,New JerseyExpected in2015 Certification Business Analyst-GPA Work ExperienceAddepar-Data Operations AnalystNew York,NY,10 2015-08 2016Contributed to the Development and Maintenance of data quality standards on Millennium a CRM application.Designed Excel Applications for automated processes using Excel Macro and Visual Basic Editor to analyze, evaluate processes, and improve divisional efficiency.Provided technical documentation for organizational reports and project designs.Delivered self-service reports through SSRS.Designed forms and edited reports using Crystal Reports.Generated the Fiscal Year Reports for the Annual Funds division by sorting, using aggregate functions, Pivot table and VLOOKUP formula in Excel.Saic-Data Analyst (Contract)Cape Canaveral,FL,2015-04 2015Committed to multiple projects and tasks during Scrum meetings, and decreased 40 of team s workload.Designed business rules for incoming vendor s files to designated folders.Analyzed, and validated Data using SSMS. Designed projects, Test Cases, tracked and conducted UAT.Produced internal and regulatory reports on regular or adhoc basis on SharePoint.Lockheed Martin Corporation-Technical SupportVandenberg Air Force Base,CA,2013-10 2014Report, track and fix defects on existing PC and Internet connections.Recommending the right Operating System, Hard Drives and Disk for compatible assembly and installation.Provide technical assistance with several computer assembly.Managed and assembled the Internet connections through the gateway router to multiple PC both wireless and cabled connection.MYA-Sales-Data AnalystCity,STATE,2009-03 2013Forecast future of business sales by querying and analyzing data for the past and present business activities. Reported analytical information for business intelligence that highly impact business decisions.Analyzed daily transactions, using financial functions, Pivot Table, Charts, and VLOOKUP with Microsoft Excel.Designed relational database for enforcing data integrity, and tracking inventory with Microsoft Access.Managed storage for user and systems databases, including database files. Additional SkillsProficient Technical Documentation skillsAdapts fast to Business RulesAbility to read and Design Charts and Diagrams (UML, DFD, ERD)Great Team Player and also ability to work independently  SEP  This is a W2 contract in Minneapolis, MN 55402.Bank is looking for a successful Data Analyst to support our Enterprise Data Governance (EDG) and Data Privacy and Protection (DPP) initiatives. This role will collaborate with the business line and technology groups. Primary responsibilities include Effectively work in matrixed team of Data Analysts, Project Managers and Business Analysts in support of a specific business andor regulatory need. Research and build a detailed understanding of the problem and related data assets in order to code the data processing and analysis. Light development coding Ensure that the data used follows the compliance, access management and control policies of the company while meeting the data governance requirements of the business. Work with technical groups to support the collection, integration, and retention of the data sources. Apply data visualization and summarization techniques to the analytical results. Interpret and communicate the results in a manner that is understood by the business. Basic Qualifications Bachelor s or masters degree in mathematics, Engineering, Computer Science, or equivalent work experience. 5 years related technical experience and 3 years analytical experience in the BankingFinancial industry or similar highly regulated industry. Preferred SkillsExperience Proficiency with SQL SAS (mid to expert level) Intermediate knowledge of application coding and development lifecycle. Analytical (e.g., comfortable with data) and can combine an understanding of business objectives, customer needs, and data required to deliver customer experience and business results. Intermediate knowledge of data governance, data management, data architecture, data modelling concepts and data governance tooling and the complexities of data in a large financial andor highly regulated institution. Willingness to continuously develop and acquire new technical skills, learn new tools programming languages and Big Data techniques. Proven ability to adjust quickly to shifting priorities, multiple demands, ambiguity, and rapid change. Effective oral and written communication with the ability for analyzing, slicing, and dicing data while deriving significant insights. Natural curiosity and self-directed ability to seek out information and meet goalsdeadlines. Agile experience Very comfortable following Agile Scrum methodology.