Job Description
Join the Future of Analytics in Wichita!
We are seeking a motivated and curious Junior Data Analyst to join our growing team in Wichita, KS. This is an exceptional opportunity for recent graduates or career changers looking to break into the world of data science. We offer comprehensive training and mentorship, making this the perfect entry-level position for those eager to learn SQL, Excel, and data visualization.
In this role, you will support our data infrastructure, assist in generating actionable insights, and help drive business decisions through rigorous analysis. If you have a knack for numbers and a desire to solve complex problems, we want to hear from you.
Why Join Us?
- Comprehensive on-the-job training for entry-level candidates.
- Modern work environment with a focus on professional development.
- Opportunity to work with cutting-edge data tools.
- Competitive starting salary with annual performance reviews.
Responsibilities
- Assist in Data Collection & Cleaning: Gather raw data from various sources and ensure it is accurate, clean, and formatted for analysis.
- Support Reporting: Create and maintain regular reports and dashboards to track key performance indicators (KPIs) for stakeholders.
- Conduct Basic Analysis: Use statistical methods to identify trends, patterns, and anomalies in data sets.
- Collaborate with Senior Analysts: Learn best practices by working alongside experienced team members on ongoing projects.
- Document Findings: Summarize data insights clearly and concisely in written reports or presentations.
- Data Visualization: Create visual representations of data to make complex information easy to understand.
Qualifications
- Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Business, or a related field is preferred; high school diploma with equivalent work experience considered.
- No Experience Required: We are looking for potential and a strong willingness to learn.
- Technical Skills: Basic proficiency in Microsoft Excel (Pivot Tables, VLOOKUP) is required; familiarity with SQL or Python is a plus but not mandatory.
- Attention to Detail: Strong analytical mindset and the ability to spot errors in data.
- Communication: Excellent verbal and written communication skills to present findings to non-technical audiences.
- Problem Solving: A proactive approach to troubleshooting and finding solutions to data-related issues.