Entry Level - Research Data Analyst (Remote) Immediate

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 Talent Sphere Staffing, so some details may not match this job. The employer's own page has the real description.

Overview

The Entry Level - Research Data Analyst at Talent Sphere Staffing is responsible for collecting, processing, and analyzing data to support various research projects. This position demands meticulous attention to detail, strong analytical skills, and the ability to translate complex data sets into actionable insights. As an essential team member, the Research Data Analyst will collaborate with internal stakeholders to ensure that data-driven decisions are informed and effective, playing a key role in influencing the overall research strategy of the organization.

Job Responsibilities

• Collect and organize data from various sources including surveys, databases, and online research.
• Assist in the analysis of data using statistical tools to identify trends, patterns, and anomalies.
• Prepare comprehensive reports that present findings and recommendations to stakeholders.
• Collaborate with senior analysts and researchers to refine research methodologies and objectives.
• Ensure data accuracy and integrity through systematic data validation processes.
• Stay updated with industry trends and best practices related to data analysis and visualization.

Qualifications

• Bachelor's degree in Data Science, Statistics, Research Methods, or a related field.
• Strong analytical and quantitative skills with a keen attention to detail.
• Proficiency in Microsoft Excel; familiarity with data analysis software (e.g., R, Python, SPSS) is a plus.
• Excellent written and verbal communication skills to convey complex information clearly.
• Ability to work independently as well as in a collaborative team environment.
• Strong time management skills and an ability to prioritize tasks effectively.

Technologies & Tools

The Research Data Analyst will utilize a range of technologies and tools to perform their duties efficiently. Familiarity with statistical software such as R or Python is desirable for data analysis. Proficiency in Microsoft Excel is crucial, while knowledge of data visualization tools like Tableau or Power BI will be beneficial. Additionally, basic understanding of database management systems and online research methodologies will enhance data collection and processing capabilities.

Ideal Candidates

The ideal candidates for the Entry Level - Research Data Analyst position will be analytical thinkers with a strong foundation in data interpretation and research methodologies. They should exhibit a proactive attitude towards problem-solving, showing eagerness to learn and adapt within a dynamic work environment. Strong communication skills are essential, allowing them to articulate insights effectively to both technical and non-technical stakeholders. Candidates should demonstrate a passion for research and the drive to contribute to meaningful data-driven outcomes within the organization.