Data Analyst Resume NJ - Hire IT People

SUMMARY

Highly analytical and process - oriented data analystwith in-depth knowledge of database types; research methodologies; and data capture, curation, manipulation and visualization.
Insightful, results-driven IT data professional with notable success assisting a broad range of corporate IT data initiatives while participating in planning, analyzing, and implementing data solutions in support of business objectives.

TECHNICAL SKILLS

Windows 7/8/8.1/10
Windows Server 2012 R2
Microsoft Exchange Server
Mac OS
Android iOS

PROFESSIONAL EXPERIENCE

Confidential, NJ

Data Analyst

Responsibilities:

Gathered information and requirements from new clients, analyze practices and map out improved processes.
Reviewed files, records and other documents to obtain business information and key data informing responses to development requests.
Conducted data mining, data modeling, statistical analysis, business intelligence gathering, trending and benchmarking.
Collected, cleansed and provided modeling and analyses of data used for major business initiatives.
Compiled and generated MS Excel spreadsheets capturing key data related to company’s active contracts.
Facilitated in data cleansing and analysis, using MS Excel pivot tables, formulas (v-lookup and others), data validation, conditional formatting, and graph and chart manipulation.
Created and maintained pre and post- migration checklists / steps using Excel workbooks and proprietary databases.
Performed statistical analysis (Correlation analysis, Hypothesis testing and multiple linear regression) using GraphPad Prism and MS Excel.
Drafted quarterly and yearly reports on company financial metrics to assess successes and accounts for deficiencies.
CreatedSASCustomized Reports using theData Nulltechnique,proc reportand proc tabulate.
CreatedSAS Macrosfor data cleaning and Reporting and to support routing processing.
Formatted data usingSASdefined and user defined formats usingProc Format.Scheduling daily, weekly and monthly reports usingSAS/Macros.
Presented statistical results with the help of pie diagrams and bar graphs usingSAS/Stat.
Worked with large customer response and sales datasets and generated graphs usingSAS ReportandSAS /GRAPH.
Developed and implemented R and Shiny application which showcases machine learning for business forecasting.
Generated graphs and reports using ggplot2 package in RStudio for analytical models.
Provided direct, on-the-ground technical assistance to sales and accounting departments implementing data management, performance management, and data analytics programs.
Formulated procedures for integration of R programming plans with data sources and delivery systems.
Supported technical team members in development of automated processes for data extraction and analysis using R

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Data Analyst Resume

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