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Data

Location:
Philadelphia, PA
Posted:
May 21, 2024

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Resume:

NIDA ANSARI

Philadelphia, PA United States 321-***-**** ad5u0o@r.postjobfree.com

LinkedIn Profile - Nida Ansari, MS LinkedIn United States Citizen

PROFESSIONAL SUMMARY

A data enthusiast who loves all things data. Passionate about the ability to extract data, analyze complex data sets, develop data-driven strategies and drive business intelligence decisions in a manner which uncovers new and more effect opportunities for all stakeholders.

EDUCATION

Master of Science – Data Analytics Specialization Project Management

Colorado State University Aurora, CO March 2023

Bachelor of Science -Human Resource Management Specialization Information Technology Management, Data Management and Analysis, and Accounting

Colorado State University Aurora, CO March 2021

EXPERIENCE

Associate Federal Contracts Administrator Data

Deloitte Remote Philadelphia, PA Feb 2023 – Oct 2023

●Extracted and Organized raw data from sources such as GovWin and VantagePoint.

●Cleaned, Transformed, and Prepared Data in Microsoft Excel using advanced formulas.

●Designed, Stored, and Managed Data in repositories such as SharePoint and Vantagepoint.

●Inspected, Cleaned and Identified data patterns for business intelligence decision makers.

●Visualized data to aid interpretation and presentation of findings to decision makers.

Master Data Management Analyst

Holly Frontier Sinclair Remote Philadelphia, PA June 2022 – Dec 2022

●Analyzed SAP data (master data, reference tables, processing tables)

●Processed daily master data additions, changes and updates in Microsoft Excel and Integrity.

●Utilized Webex, UAT systems and MDM Informatic

●Performed root cause analysis on issues related to Master Data Management

SKILLS

●Python, R, SQL, Microsoft Office Suite, Advanced and Strong Microsoft Excel Skills (VLOOKUP, MATCH, INDEX), Microsoft Power BI, Salesforce, Costpoint, Vantagepoint, OpenText, Enterprise Connect, ServiceNow

●Strong written and verbal communication skills

●Exceptional organizational skills, attention to detail, positive and action-oriented attitude, ability to manage multiple priorities simultaneously.

●Proficient in Data cleaning, Data profiling, Data quality, Data Validation, ETL.



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