Job Description
Are you a detail-oriented professional seeking financial stability and a clear career path? Wichita Analytics Solutions is hiring a Data Analyst to join our dynamic team in Wichita, Kansas. We pride ourselves on a transparent compensation structure that includes weekly paychecks, ensuring you are rewarded for your hard work every week.
In this pivotal role, you will serve as the bridge between our data and our business strategy. You will dive deep into our datasets to uncover actionable insights, creating visualizations that drive decision-making across the organization. If you are passionate about turning raw numbers into compelling stories, we want to hear from you.
Why Join Us?
- Weekly Pay: Get paid every week, not every two weeks.
- Competitive Benefits: Health, dental, and vision insurance.
- Professional Growth: Access to training and certification programs.
- Culture: A supportive, collaborative environment in the heart of Wichita.
Responsibilities
- Extract, clean, and analyze large volumes of data using SQL, Python, or Excel to support business objectives.
- Design and maintain interactive dashboards in Tableau or Power BI to track KPIs and performance metrics.
- Collaborate with cross-functional teams to identify data requirements and define analytical scopes.
- Prepare detailed reports and presentations for executive leadership to guide strategic planning.
- Identify trends, anomalies, and opportunities for process optimization within the company’s data sets.
- Ensure data accuracy and integrity through rigorous testing and validation processes.
Qualifications
- Bachelor’s degree in Finance, Information Systems, Statistics, or a related field (or equivalent experience).
- 3+ years of professional experience as a Data Analyst or in a similar analytical role.
- Strong proficiency in SQL for querying databases and Microsoft Excel for advanced data manipulation.
- Experience with data visualization tools such as Tableau, Power BI, or Looker.
- Excellent written and verbal communication skills to translate complex data findings for non-technical stakeholders.
- Strong problem-solving skills with a keen eye for detail.