Full Time

Entry Level Data Analyst (Remote)

Henry Hire Solutions
Remote!
$45,000 - $60,000* / year (about $22–$29 an hour)

Job Description

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

Job Overview

Henry Hire Solutions is seeking a detail-oriented and motivated Entry Level Data Analyst to join our dynamic team in a fully remote capacity. The successful candidate will be responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports. Additionally, they will assist in the development of data models and support decision-making across various departments. This role is a fantastic opportunity for individuals looking to start their careers in data analytics and contribute to our data-driven strategies.



Job Responsibilities

  • Collect, process, and analyze data sets using various tools and techniques.
  • Generate meaningful reports and visualizations to present findings to stakeholders.
  • Assist in the design and implementation of data models to support business objectives.
  • Collaborate with team members to identify trends and provide data-driven insights.
  • Ensure data integrity through regular audits and quality checks.
  • Support ad hoc data requests and analysis as needed.


Qualifications

  • Bachelor’s degree in Data Science, Mathematics, Computer Science, or a related field.
  • Familiarity with data analysis concepts and techniques.
  • Relevant experience through internships or academic projects is a plus.
  • Proficiency in Excel and basic knowledge of SQL or equivalent query languages.
  • Strong analytical mindset with a keen attention to detail.
  • Excellent written and verbal communication skills.


Technologies & Tools

The Entry Level Data Analyst will utilize a variety of technologies and tools to perform their job functions. Primary tools include Microsoft Excel for data organization and analysis, SQL for data queries and manipulation, and Tableau or Power BI for data visualization. Additionally, familiarity with programming languages such as Python or R may be beneficial for advanced data analytics tasks.



Ideal Candidates

The ideal candidate for this position is someone who exhibits a passion for data and a strong desire to learn and grow within the field of data analytics. They should possess critical thinking skills and an aptitude for problem-solving. A proactive attitude, effective communication abilities, and the capacity to work independently as well as collaboratively in a remote environment are essential traits for success in this role.

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