Entry Level Data Analyst (Remote)

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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.

Henry Hire Solutions is seeking a detail-oriented and motivated Entry Level Data Analyst to join our dynamic team. In this remote position, the successful candidate will support our data analysis efforts by collecting, processing, and performing statistical analyses on large datasets. This role will involve generating insights that will aid in decision-making processes across various departments. The Entry Level Data Analyst will also be responsible for creating reports, visualizations, and dashboards to communicate findings to stakeholders.

Job Responsibilities

• Collect, clean, and organize data from various sources for analysis.
• Assist in the development and maintenance of reporting tools and dashboards.
• Perform exploratory data analysis to identify trends and patterns.
• Support data-driven decision-making by providing actionable insights.
• Collaborate with cross-functional teams to understand their data needs and provide analytical support.
• Document data processes and methodologies to ensure reproducibility.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science or a related field.
• Proficient in Microsoft Excel and basic SQL for data retrieval.
• Familiarity with data visualization tools such as Tableau or Power BI.
• Strong analytical and problem-solving skills.
• Excellent communication skills, both written and verbal.
• Ability to work independently and as part of a team in a remote setting.

Technologies & Tools

The Entry Level Data Analyst will utilize several technologies and tools including Microsoft Excel, SQL for database management, and data visualization software such as Tableau and Power BI. Additionally, familiarity with programming languages such as Python or R for statistical analysis may be beneficial. The role may also involve using collaboration and data management platforms such as Google Workspace and Microsoft SharePoint.

Ideal Candidates

The ideal candidate for this position will possess a strong curiosity for data and a desire to learn and grow within the field of data analysis. They should be detail-oriented, with the ability to analyze complex datasets and draw meaningful conclusions. A good fit will also have a collaborative mindset, demonstrating the ability to work effectively within a remote team, adapting to a variety of tasks and challenges. Furthermore, candidates should exhibit a strong commitment to maintaining data integrity and security, ensuring the highest standards in all analytical practices.