Full Time

Entry/Junior Data Analyst - Remote

RemoteWorker US
Remote!
$45,000 - $60,000* / year (about $22–$29 an hour)

Job Description

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by RemoteWorker US, so some details may not match this job. The employer's own page has the real description.

Overview


As an Entry/Junior Data Analyst at RemoteWorker US, you will play a crucial role in transforming data into actionable insights. Your responsibilities will include analyzing datasets, producing reports, and assisting with various data projects to support decision-making processes across the organization. The ideal candidate will possess a strong analytical mindset and a willingness to learn new skills, contributing effectively to a remote team in a fast-paced environment.



Job Responsibilities

  • Collect, clean, and preprocess data from multiple sources to ensure quality and consistency.
  • Analyze structured and unstructured data to discover trends and patterns.
  • Prepare and present reports that communicate findings and recommendations to stakeholders.
  • Support team members in the development of dashboards and visualizations to track key performance indicators (KPIs).
  • Assist in the implementation of data governance and quality assurance processes.
  • Collaborate with cross-functional teams to understand data needs and provide relevant insights.


Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
  • Proficiency in data analysis tools such as Excel, SQL, or Python.
  • Basic knowledge of data visualization tools (e.g., Tableau, Power BI) is preferred.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent verbal and written communication skills.
  • Ability to work effectively in a remote setting and manage time efficiently.


Technologies & Tools


In this position, you will have the opportunity to work with various technologies and tools, including SQL for data querying, Excel for data manipulation, Python for data analysis, and visualization software such as Tableau or Power BI. Familiarity with these tools will enhance your ability to perform data analysis tasks efficiently and effectively.



Ideal Candidates


The ideal candidates for this role are individuals who are analytical thinkers with a passion for data. They are detail-oriented and possess a curiosity to explore datasets, leading to meaningful insights. Effective communicators who can convey complex concepts clearly will excel in this position. Additionally, candidates who show enthusiasm for learning new technologies and adapting to dynamic work settings will thrive in our remote culture.

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