Job Description
Are you a data-driven professional seeking a role that offers stability and growth?
Apex Data Solutions is currently hiring a Data Analyst in Louisville, Illinois. We pride ourselves on our employee-centric culture, offering weekly pay and comprehensive relocation assistance to top talent. This is a unique opportunity to join a forward-thinking team where your insights will directly influence strategic business decisions.
In this role, you will transform complex datasets into actionable strategies. You will work with cross-functional teams to identify trends, optimize operational processes, and deliver high-impact visualizations. If you are looking for a position that combines technical challenge with professional flexibility, apply today.
Responsibilities
- Perform Data Mining & Cleaning: Utilize SQL and Python to extract, clean, and prepare large datasets for analysis, ensuring high data quality and accuracy.
- Develop Visualizations: Create interactive dashboards and reports using Tableau or PowerBI to track key performance indicators (KPIs) and present data to stakeholders.
- Statistical Analysis: Conduct complex statistical analyses to identify patterns, correlations, and trends that drive business growth.
- Collaborate with Stakeholders: Work closely with product managers and engineering teams to define data requirements and solve complex business problems.
- Process Optimization: Identify areas for improvement in business processes and propose data-driven solutions to enhance efficiency.
Qualifications
- Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
- Experience: Minimum of 3-5 years of experience in data analysis, business intelligence, or a related field.
- Technical Proficiency: Strong proficiency in SQL, Python (Pandas, NumPy), and data visualization tools (Tableau, PowerBI, or Looker).
- Attention to Detail: Exceptional ability to spot anomalies in data and a rigorous approach to data validation.
- Communication Skills: Excellent ability to translate complex data findings into clear, concise, and actionable insights for non-technical audiences.