Job Description
Are you a detail-oriented Data Analyst looking for the flexibility of remote work and the stability of weekly pay? Apex Data Solutions is seeking a skilled professional to join our growing team in Raleigh, North Carolina.
In this role, you will be the bridge between our raw data and actionable business insights. You will work closely with cross-functional teams to identify trends, optimize processes, and drive strategic decision-making. If you are passionate about data visualization and want to join a company that values its employees with consistent weekly compensation, we want to hear from you.
Why Join Us?
- Weekly Pay: Get paid on time, every week, with no waiting for bi-weekly or monthly cycles.
- Remote Options: Enjoy the flexibility of working from home or our hybrid office in the Research Triangle.
- Career Growth: Work with cutting-edge tools and technologies in a collaborative environment.
Responsibilities
- Collect, clean, and transform complex datasets from various sources to ensure high data quality.
- Design and develop interactive dashboards and visualizations using Tableau and Power BI to track key performance indicators (KPIs).
- Perform statistical analysis and predictive modeling to identify business opportunities and risks.
- Collaborate with stakeholders to translate business requirements into data-driven solutions.
- Prepare detailed reports and presentations for executive leadership, highlighting trends and insights.
- Maintain and optimize data pipelines to improve reporting efficiency.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
- 3+ years of professional experience as a Data Analyst or similar role.
- Proficiency in SQL (Querying, Joins, Stored Procedures) and experience with Python or R.
- Strong experience with data visualization tools such as Tableau, Power BI, or Looker.
- Excellent communication skills with the ability to explain complex data concepts to non-technical audiences.
- Detail-oriented with a strong focus on accuracy and data integrity.