Job Description
Join the Data Revolution in Louisville
Are you a detail-oriented professional looking for a role that values your time and expertise? Apex Data Systems is seeking a talented Data Analyst to join our growing team in Louisville, KY. We are committed to excellence and innovation, offering a distinct benefit to our employees: Weekly Pay. Don't wait for bi-weekly or monthly cycles to see your hard work reflected in your bank account. We are looking for someone who can turn raw data into actionable insights and drive strategic decision-making.
Why Choose Apex?
- Weekly Pay Cycle: Get paid every week.
- Modern Tech Stack: Work with the latest tools including Python, SQL, and Tableau.
- Growth Opportunities: Clear career progression paths within a dynamic environment.
- Competitive Benefits: Health, dental, and vision insurance available from day one.
Your Role
As a Data Analyst at Apex, you will be the bridge between our data and our business strategy. You will work closely with cross-functional teams to identify trends, optimize processes, and deliver reports that matter. If you have a passion for numbers and a knack for storytelling through data, we want to hear from you.
Responsibilities
- Collect, clean, and interpret complex datasets from various sources to support business decisions.
- Design and maintain interactive dashboards and visualizations using Tableau or Power BI.
- Perform statistical analysis and predictive modeling to forecast trends and identify opportunities for growth.
- Collaborate with stakeholders to understand their data needs and translate them into technical requirements.
- Ensure data accuracy, integrity, and consistency across all reporting platforms.
- Produce comprehensive reports and executive summaries for management.
Qualifications
- Bachelor's degree in Computer Science, Information Systems, Statistics, Finance, or a related field.
- 3+ years of proven experience in data analysis, preferably in a corporate or financial environment.
- Proficiency in SQL for database querying and data manipulation.
- Strong skills in programming languages such as Python or R.
- Experience with data visualization tools like Tableau, Power BI, or Looker.
- Excellent communication skills with the ability to explain complex data concepts to non-technical audiences.