About The Position

D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA. We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer’s IT productivity and contribute to the organization’s success and value. We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us! Our ambition is to catalyse innovation capability by supporting priority teams to develop truly customer-centred products and services. We are developing an end-to-end approach that provides design, design thinking, agile and lean approaches to product development. We are looking for a Junior Data Analyst to support data cleaning, maintenance, and administrative tasks across large datasets. This role is ideal for someone early in their career who is detail-oriented and eager to build hands-on experience in data management. This position is based anywhere in the United States.

Requirements

  • Basic experience or strong interest in data analysis
  • High attention to detail and accuracy
  • Strong organizational skills
  • Familiarity with Excel or similar tools
  • Ability to work independently and manage repetitive tasks effectively
  • Fluent English (written and spoken); additional languages are a plus
  • Ability to work independently in a remote, fast-paced, and cross-functional environment
  • Candidates must declare criminal record extract not older than three months

Nice To Haves

  • Knowledge of data analysis tools (e.g., SQL, Power BI, Python)
  • Experience with data cleaning or data quality processes
  • Exposure to reporting or dashboarding tools

Responsibilities

  • Clean, validate, and maintain large datasets
  • Identify inconsistencies and ensure data accuracy
  • Support ongoing data administration and maintenance tasks
  • Organize and structure data for reporting and analysis
  • Collaborate with stakeholders to understand data requirements
  • Assist in improving data quality processes and workflows
  • Maintain documentation related to data handling procedures

Benefits

  • Broad range of activities, tasks, and projects
  • Further development and professional advancement
  • Friendly and international working environment
  • Company-sponsored events
  • Competitive salary and various benefit.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service