Vendor Data Analyst
Harrisonburg, Virginia, United States
Noble
NOBLE is a trusted partner for global sustainment and operations support for the U.S. Military and civilian government agencies. Our extensive supply…POSITION SUMMARY
The Vendor Data Analyst will be the enterprise Vendor Data Management lead and is expected to leverage industry best practices in structuring, cleansing, and managing the enterprise Vendor Master and related operational data in NetSuite and Salesforce. The individual will work closely with business stakeholders in the execution of any/all requirements related to Vendor Master data. The individual will be the Vendor Master data expert and act as the subject matter expert in all Vendor Master data matters. This is a hands-on functional and technical role and will work to resolve any/all Item Master data issues in partnership with cross-functional teams.
ESSENTIAL FUNCTIONS
In order to perform this job successfully, an individual must be able to perform the essential duties outlined below. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform these essential functions.
- Lead data cleansing efforts in Netsuite and Salesforce to ensure all Vendor Records and related data is compliant with Standard Operation Procedures, best practices and established internal standards.
- Enter all new vendors in Netsuite and Salesforce in accordance with determined SOPs.
- Establish, document, and enforce Data Governance process approval workflows, policies, rules, and standards.Lead
- discussions with cross-functional teams to identify issues, document key decisions, and lead data improvement initiatives.
- Work with cross-functional teams to develop and maintain business requirements documentation including Standard Operating Procedures, user stories, process flows, data matrices, business cases, and gap analysis that reflects current state business operations.
- Identify areas for data quality improvements and help to resolve data quality issues through process control/ improvement and error detection / correction.
- Lead ongoing maintenance efforts of all Vendor Record information in Netsuite and Salesforce.
- Link data quality issues to business outcomes/value and serve as single point of contact for the implementation of cleansing programs and any associated end-user training.
- Query, extract, and combine large datasets from primary and secondary data sources to identify and troubleshoot data quality or integrity issues and interpret trends
- Develop and maintain data quality corrective action plans and drive cross-functional accountability.
POSITION QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
● Proven experience as a data manager
● Working knowledge of data governance and master data management industry best practices.
● Proficiency in the extraction and analysis of data.
● Product/order knowledge, time management, calming demeanor, goal oriented, and solution oriented
● Communication skills (written and verbal)
● Interpersonal skills, teamwork, collaboration, quality focus
● Integrity, accountability, responsibility, organization, follow through.
● Analytical thinking, reading/writing for comprehension.
● Self-directed with a demonstrated sense of accountability.
EDUCATION AND EXPERIENCE
● Bachelor's degree (BS/BA) from four-year college or university or 2-3 years of business- related progressive experience and/or training.
COMPUTER SKILLS
● MS Office Suite
● Google Suite
● Understanding and experience with NetSuite of equivalent ERP (Enterprise Resource Planning) software
● Salesforce
● Experience troubleshooting and managing ERP data quality issues, preferably in NetSuite.
MATHEMATICAL SKILLS
● Ability to add and subtract two-digit numbers and to multiply and divide with 10's and 100's. Ability to perform these operations using units of American money.
● Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. Ability to compute rate, ratio, and percent and to draw and interpret bar graphs.
● Ability to calculate figures and amounts such as discounts, interest, commissions, and percentages.
REASONING ABILITY
● Ability to define problems, collect data, establish facts, and draw valid conclusions.
WORK ENVIRONMENT
Normal Office Conditions
Equal Opportunity Statement:
Noble provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty, status as a covered veteran, or any other protected category in accordance with applicable federal, state, and local laws. Noble complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf
https://www.dol.gov/whd/regs/compliance/posters/fmlaen.pdf
https://www.dol.gov/whd/regs/compliance/posters/eppac.pdf
The Company has reviewed this job description to ensure that essential functions and basic duties have been included. It is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. This document does not represent a contract of employment, and the Company reserves the right to change this job description and/or assign tasks for the employee to perform, as the Company may deem appropriate.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data governance Data management Data quality Salesforce
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