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  RoleGaming Business AnalystResponsibilities Ability to understand vast amounts of data, identify and fix data issues Strong in database and Data Warehousing concepts Strong in TSQL Data analysis and presentation Data insight generation Strong reporting using Power BI, Power Apps Excel Ability to succeed in a fast-paced, dynamic business environment Excellent technical analytical skills with strong business acumen Strong communication skillsRequired SkillsProven experience as a Gaming Domain Expert, Game Analyst, or similar role within the gaming industry.Passion about gaming and a genuine interest in the gaming industry.Strong communication and presentation skills to effectively convey research findings to both technical and non-technical stakeholders.Strong analytical skills and ability to interpret complex data sets to derive meaningful insights.Should be able to do the qualitative and quantitative Research on gaming data such as competitor trends, product performance, consumers, games, and acquisitions .Excellent research abilities, with a proactive approach to stay updated on industry developments.Must have Deep understanding of Gaming Industry trends to perform ad-hoc analysis and research across a broad range of industries.Deep knowledge and understanding of gaming platforms, game genres, player behavior, and industry trends, patterns, and insights for game console, games, and subscriptions across all gaming companies.Analyze internal game meta data and KPIs and helping in curating the game, genre, publisher, developer etc.Identify key takeaways based on research, prepare presentations, communicate with business stakeholders.Should be able to build the forecasting model for any game or game franchise.Perform Market studies, consumer insights, competitive analysis, ad hoc reporting, and market trends across the gaming and game development industries.Basic Understanding of T-SQLFamiliarity with data analysis tools and techniques.Should be able to create the pivots in Excel from Relational models for slice and dice the data.Ability to understand vast amounts of data.Identify and fix data issues ,Data analysis and presentation ,Data insight generation.Ability to thrive in a fast-paced, dynamic business environment ,Excellent technical analytical skills with strong business acumen ,Strong communication skills,SQL, ExcelGood to have skillsDigital PythonExperience Required (in Yrs.)5 YearsWork LocationBellevue, USA

ATS compatibility: Good Fit (score: 88.7)