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Junior Data Analyst

Helic & Co

United States · Jornada completa

Sé el primero en postularte

Experiencia
Up to 2 yrs
Salario
Vacantes
1
Al corriente
Hace 5 horas
Work mode
En la oficina
Educación
Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, or a related field
Eligibility
Entry-level candidates with 0–2 years of experience in data analysis or a related role may apply. Internship experience is counted.
Resume
Required to apply

Descripción del trabajo

Role overview

Helic & Co is looking for an early-career Data Analyst who is detail-focused and naturally inquisitive. The position involves helping with data gathering, analysis, and reporting so the business can make better-informed decisions. It is well suited to someone at the start of their career who wants to build practical technical and analytical experience in a data-centric environment.

Key responsibilities

  • Gather data from different sources, clean it, and check it for accuracy.
  • Carry out straightforward analysis to uncover trends, patterns, and useful insights.
  • Help build dashboards and reports in tools such as Excel, Power BI, or Tableau.
  • Prepare and update SQL queries to pull and work with data.
  • Assist experienced analysts with on-demand analysis and reporting tasks.
  • Maintain data quality and consistency across databases and reporting outputs.
  • Record procedures, data definitions, and the methods used for analysis.
  • Work with teams across the business to understand information requirements.

Qualifications

  • A bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, or a similar discipline is required.
  • 0 to 2 years of experience in data analysis or a related area is preferred; internship experience is also acceptable.
  • You should have strong analytical thinking and problem-solving ability.
  • Solid working knowledge of Microsoft Excel, including formulas, pivot tables, and charts, is expected.
  • Basic SQL knowledge is needed.
  • Exposure to visualization tools such as Power BI or Tableau is important.
  • Strong organization and careful attention to detail are necessary.
  • Good communication skills are required so findings can be explained clearly.

Preferred skills

  • Experience using Python or R.
  • Understanding of data models and database fundamentals.
  • Exposure to ETL workflows and data pipelines.
  • Knowledge of basic statistical methods and data interpretation.

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