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Data Insights Analyst - Remote Entry-Level Role

Jóvenes en LinkedIn

Remote · Неполная занятость

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Опыт
Любой
Зарплата
Открытия
1
Опубликовано
3 часа назад
Режим работы
Работа из дома
Резюме
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Описание работы

Role Overview

This entry-level, part-time position as a Data Insights Analyst offers a fully remote work setting with Jóvenes en LinkedIn. The role centers on leveraging data to aid informed business choices and generate actionable reports. Responsibilities include gathering, cleaning, and systematically organizing datasets sourced from varied locations, ensuring accuracy and consistency.

Key Responsibilities

  • Execute basic data analyses to extract meaningful insights.
  • Create and maintain dashboards and visual reports for internal use.
  • Summarize analysis outcomes clearly for stakeholders who may not have technical expertise.
  • Collaborate with team members to track trends, monitor essential metrics, and recommend data-driven enhancements.
  • Document analysis methods and maintain data repositories diligently.
  • Continuously enhance skills by learning new analytical tools, visualization methods, and storytelling best practices.

Qualifications and Skills

  • Demonstrated strong analytical ability with keen attention to detail to interpret data and uncover patterns.
  • Basic understanding of data analytics concepts and data modeling principles to support reporting initiatives.
  • Familiarity with fundamental statistical methods to validate analytical results.
  • Effective communication skills, both written and oral, to convey findings clearly to non-specialist audiences.
  • Experience with spreadsheet software such as Excel or Google Sheets; knowledge of business intelligence platforms like Power BI, Tableau, or Looker is advantageous.
  • Motivation to work independently in a remote, team-focused environment with efficient time management.
  • Academic background or coursework in data science, statistics, business analytics, or related disciplines is preferred.
  • Eagerness to adopt and master new data analysis and visualization techniques continually.

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