Data Analyst
Role summary
Nexorant LLC is seeking a full-time, on-site Data Analyst in Moline, IL. This role involves collecting, analyzing, and interpreting data to drive business decisions. Key responsibilities include developing data models, creating comprehensive reports, and presenting insights to stakeholders. The analyst will also work on data visualization projects and collaborate with cross-functional teams to deliver actionable analytics solutions. A Bachelor's degree in a related field and strong analytical and statistical skills are required, with proficiency in data visualization tools being a plus.
Company Description
Nexorant LLC is a recruitment and career enablement firm dedicated to supporting professionals and organizations in navigating the competitive U.S. hiring market. By offering strategic hiring solutions, candidate readiness services, and market-informed recruitment execution, we empower both candidates and companies to achieve their goals. Nexorant LLC emphasizes professionalism, transparency, and the creation of long-term value for all stakeholders.
Role Description
This is a full-time Data Analyst role based on-site in Moline, IL. The Data Analyst will be responsible for collecting, analyzing, and interpreting data to support business decision-making processes. Primary duties include developing data models, preparing comprehensive reports, and presenting insights to stakeholders. The candidate will also work on data visualization projects and collaborate with cross-functional teams to understand business requirements and provide actionable analytics solutions.
Qualifications
- Strong Analytical Skills and proficiency in Data Analytics
- Knowledge of Statistics and experience with data interpretation techniques
- Ability to develop and optimize Data Models for business intelligence purposes
- Excellent Communication skills, with the ability to effectively convey complex data insights
- Proficiency in data visualization tools and statistical software (e.g., Tableau, Power BI, or Python libraries) is highly desirable
- Bachelor's degree in Statistics, Data Science, Information Systems, or a related field
- Prior experience in data analysis or a similar role (preferred)
- Problem-solving mindset and keen attention to detail
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