Data Coordinator
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Job Location:
Plymouth, MA - USA
Hourly Salary:
$ 24 - 26
Posted on:
29 days ago
Vacancies:
1 Vacancy
Job Summary
Job Details
Description
Data Coordinator
$24.00-26.00/hour
Are you a detail-driven problem-solver who loves keeping things organized and running smoothly behind the scenes Were looking for a Data Coordinator who brings energy and a teamwork mindset to every task. Here at J.H. Larson Company we value team players who thrive on precision take pride in getting the details right and keep operations running like clockwork. If youre someone who enjoys working with data tackling challenges and making an impact in a fast-paced environment wed love to have you on our team.
J.H. Larson Company is an independent distributor of Electrical Plumbing HVAC and Datacom products with 8 locations in Minnesota Wisconsin and South Dakota and 3 showroom locations. We remain dedicated to our employees customers and vendors and are positioned to move into the future as a family owned and operated business. Were proudly celebrating our 94th anniversary this year!
We have a great opportunity to join our Corporate team based in Plymouth MN as a Data Coordinator. The Data Coordinator is a supportive role to the Sr. Data Analyst. This entails various activities which all lead to ensuring the best utilization of our ERP system and the integrity of the data residing within it. This role is also the back-up to the resident expert on the ERP system which helps educate all other JHL employees.
Whats In It For You
- Highly competitive benefits package
- Medical
- Dental
- Vision
- STD/LTD
- 401k with employer match
- Life insurance
- Health Saving Account with employer match
- Critical Illness & Accident Insurance
- Employee assistance program
- PTO and 9 paid holidays as well as your birthday!
And more!
Responsibilities Include:
- Support the ongoing effort of product data accuracy via item number in all (22) required data fields such as descriptions quantities buy packs etc. including the annual update of every vendor. Provide requests for data file if not supplied during price updates.
- Responsible for managing shared email inbox. Provide IT Help Desk support relating to Eclipse and job management issues.
- Support the eCommerce data initiatives for the company.
- Process rebate uploads and vendor price increases on a timely basis.
- Support pulling down sell side and cost side contracts along with loading all new pricing contracts.
- Create new Buy lines and Price Lines as requested.
- Maintain PPI codes for all products created by working with the associated departments.
- Process weekly and monthly reports and customer price books.
- Back up to the Sr. Data Analyst role during absence.
- Process new hire onboarding promotions and termination set up.
Qualifications
Qualifications:
Education
- High School Diploma or GED
Experience and/or Training
- Minimum 1-3 years of related ERP system or data management experience.
- Ability to effectively handle multiple tasks and collaborate within a multi-functional team.
- Ability to work in a team environment to accomplish common goals of the company.
- Excellent math skills.
- Strong written and verbal communication skills.
- Self-motivated and self-starter.
- Detail oriented organized consistent and tenacious.
- Strong efficiency using Excel and other data-based tools.
- Knowledge of Epicor Eclipse software.
- Strong analytical and decision-making skills.
We are committed to providing salary ranges for open positions. Please note that the specific compensation for this role will be determined based on your experience qualifications location and internal equity considerations.
Why wait Check out our website and apply today at: under our Careers tab and while youre there contact us at to learn more about this opportunity and how you can be a part of a team who wants you to be successful!
We are an Affirmative Action and Equal Opportunity Employer
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
