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Helic & Co.

Junior Data Analyst

Helic & Co.

United States · 정규직

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경험
Up to 2 yrs
샐러리
채용 공고
1
게시됨
3일 전

Where you'll work

직무 설명

Job Summary

We are looking for an attentive and inquisitive Junior Data Analyst to become part of our team. This position involves assisting with data collection, analysis, and reporting to facilitate well-informed business strategies. It represents a significant opportunity for an individual at the entry-level to cultivate technical and analytical proficiencies within a data-centric setting.

Key Responsibilities

  • Gather, cleanse, and verify data from various origins.
  • Conduct fundamental data analysis to uncover trends, patterns, and actionable insights.
  • Contribute to the development of dashboards and reports utilizing tools such as Excel, Power BI, or Tableau.
  • Develop and manage SQL queries for data extraction and manipulation.
  • Provide support to senior analysts for ad-hoc analysis and reporting needs.
  • Maintain the accuracy and integrity of data within databases and reports.
  • Document methodologies for processes, data definitions, and analyses.
  • Collaborate with different departments to comprehend their data requirements.

Qualifications

  • A Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, or a closely related discipline.
  • Possession of 0 to 2 years of experience in data analysis or a comparable role, with internships being considered.
  • Demonstrated strong analytical and problem-solving capabilities.
  • Proficiency in Microsoft Excel, including formulas, pivot tables, and chart creation.
  • A foundational understanding of SQL.
  • Familiarity with data visualization platforms like Power BI or Tableau.
  • Exceptional attention to detail and organizational abilities.
  • Effective communication skills for clearly presenting findings.

Preferred Skills

  • Prior experience with programming languages such as Python or R.
  • A grasp of data modeling principles and database concepts.
  • Familiarity with ETL procedures and data pipelines.
  • Knowledge of basic statistical methods and data interpretation techniques.

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