Job Description
Are you ready to accelerate your career?
We are seeking a detail-oriented and analytical Data Analyst to join our dynamic team in Wichita, KS. If you are looking for a position that offers immediate impact and the opportunity to start tomorrow, this is your chance.
As a key member of our analytics team, you will transform complex data into actionable business insights. We value innovation, collaboration, and the ability to communicate data stories clearly. Come work with a company that invests in its people and technology.
Responsibilities
- Conduct Data Analysis: Collect, clean, and analyze large datasets to identify trends, patterns, and opportunities for process improvement.
- Dashboard Creation: Design and maintain interactive dashboards using tools like Tableau or PowerBI to visualize key performance indicators (KPIs) for stakeholders.
- Statistical Modeling: Perform advanced statistical analysis and modeling to support strategic decision-making and forecasting.
- Report Generation: Create comprehensive reports and presentations that translate complex data findings into clear, concise business recommendations.
- Stakeholder Collaboration: Partner with cross-functional teams (marketing, finance, operations) to understand their data needs and provide tailored analytical support.
- Database Management: Utilize SQL to query databases, extract data, and ensure data integrity across the organization.
Qualifications
- Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Business Analytics, or a related field.
- Technical Skills: Proficiency in SQL (PostgreSQL, MySQL, or SQL Server) and experience with Python or R for data manipulation.
- Visualization Tools: Strong experience with data visualization tools such as Tableau, PowerBI, or Looker.
- Experience: Minimum of 2-3 years of experience in data analysis or a similar analytical role.
- Communication: Excellent verbal and written communication skills with the ability to explain technical concepts to non-technical audiences.
- Attention to Detail: High level of accuracy and attention to detail when handling large datasets.
- Problem Solving: Proven ability to troubleshoot data issues and derive insights from ambiguous data.