Job Description
Are you a logical thinker with a passion for uncovering stories in data? North Texas Analytics Solutions is seeking a driven Entry Level Data Analyst to join our innovative team in Fort Worth. This is a premier opportunity for recent graduates or career changers looking to break into the tech industry, as we require no prior experience and provide comprehensive training.
In this role, you will support our senior analysts in transforming complex datasets into clear, actionable insights that drive business growth. We value curiosity and a willingness to learn, making this the perfect environment for you to kickstart your career in data analytics.
Responsibilities
- Data Collection & Cleaning: Gather raw data from various internal and external sources, ensuring accuracy and consistency before analysis.
- Statistical Analysis: Perform statistical modeling and trend analysis to identify key patterns and anomalies within datasets.
- Dashboard Creation: Develop and maintain interactive data visualizations using tools like Tableau or Power BI to present findings to stakeholders.
- Reporting: Create detailed reports and summaries that translate complex data into understandable insights for the management team.
- Collaboration: Work closely with marketing and operations teams to understand their data needs and provide actionable recommendations.
- Database Support: Assist in maintaining data integrity within our SQL databases and reporting tools.
Qualifications
- Education: Bachelor’s degree in a relevant field (Computer Science, Statistics, Economics, or Business) or equivalent professional experience.
- Excel Proficiency: Strong working knowledge of Microsoft Excel, including VLOOKUP, pivot tables, and data filtering.
- Technical Aptitude: Basic familiarity with SQL or Python is a plus, but we are willing to train the right candidate.
- Communication: Excellent written and verbal communication skills with the ability to explain technical concepts to non-technical audiences.
- Attention to Detail: A meticulous approach to data quality and accuracy.
- Motivation: A proactive attitude, strong problem-solving skills, and a desire to learn new technologies.