Data Validation Finance Analyst

  • location: Minneapolis, MN
  • type: Contract
  • salary: $35 - $40 per hour
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job description

Data Validation Finance Analyst

job summary:
Data Validation Finance Analyst

Overview

Seeking a candidate who can easily understand end-to-end data processes and flows to support end-to-end master and transactional data validation analysis!

 
location: Minneapolis, Minnesota
job type: Contract
salary: $35 - 40 per hour
work hours: 8 to 5
education: Unknown
experience: 3 Years
 
responsibilities:
Responsibilities:

  • Master user in EXCEL / Data Manipulation
  • Analytic / Critical Thinking / Problem Solving Skills
  • Understand SAP Retail / Materials Management Module
  • Large-scale Data Validation Experience
  • Quick Learner
  • Management of multiple tasks / execution driven
 
qualifications:
Requirements :

  • Finance Acumen (P&L, Accounting, Controls, Reconciliation)
  • Communication of progress/results/key themes
  • Retail experience (Supply Chain/Finance)
  • SAP Master Data knowledge
  • Defect management
More Qualifications :

  • Can easily understand end-to-end data processes and flows to support end-to-end master and transactional data validation analysis.
  • Able to manipulate large volumes of data to find exceptions and understand common themes across exception population. Is a self-starter with strong sense of curiosity to understand data trends and issues.
  • Partners with business subject matter experts including accounting, product, and technical resources, to perform root-cause analyses of issues/themes identified.
  • Quantify and perform necessary mass corrections of data, transactional and master, to improve overall data quality.
  • Performs ongoing data quality monitoring to ensure timely identification and correction of newly surfaced issues.
  • Establishes and tracks ongoing data quality metrics and progress reports.
  • Partners with business teams to identify and implement ongoing monitoring routines that support data quality control within solution and across solution data integrations.
 
skills: SAP, Fund Accounting, Operations - Retail
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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