QUALIFICATIONS Over two years experience of data analysis at Loyola Chicago University providing statistical analysis plan and generating report, tables, graphs proficient in R and SAS. Proficient in Microsoft Office, Word, Excel and Power Point. Ability to effectively organize and manage multiple assignments with hard deadlines. Great team player and extensive experience and skills in collaboration and communication. PROFESSIONAL EXPERIENCE09 2016toCurrentData Analyst InternEnvestnet Secaucus,NJ, Merge spreadsheets from different sources to create a more compact and centralized data platform for easy updating and data analysis using MS Excel advanced functions and formulas. Data cleaning and data validation of existing spreadsheets to promote a robust data management platform for accurate data entry and data analysis. Train employees on the use of pivot tables and tips and tricks in MS Excel for efficient data entry and analysis.07 2013to04 2014Research AssistantSuny Upstate Medical University Syracuse,NY,Supervisor Drs. Michael Crum and David Rayome Paper Self-employment and subjective well-being A multi-country analysis using the world values survey. International Journal of Entrepreneurship (Published in 2014) Statistical analysis of elements influencing self-employment and life happiness using R studio Literature research on topics of self-employment and satisfaction04 2012to07 2012Accounting InternshipAmica Mutual Insurance Park Ridge,, Provide data management for Accounting Journals using government-secured software Prepare written report of Asset inspection and sorted the documents04 2011to07 2011Finance InternshipSiemens Corporation Wichita,, Sales consultant for financial products and services EDUCATIONExpected in2016totoMaster of Science Applied StatisticsLoyola Chicago University,Chicago,ILGPA Expected in2013totoBachelor of Science Finance and risk managementNorthern Michigan University,Marquette,MIGPA SKILLSComputer Software MS Word, PowerPoint, Excel, Access StatisticalSoftware R Studio, SAS, Minitab, SQLLanguage Mandarin and English  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.

ATS compatibility score: 82.7 (Good Fit)