Job Description
Are you a detail-oriented professional looking for a role that values your analytical skills and offers weekly pay? Apex Data Solutions is looking for a talented Data Analyst to join our growing team in the heart of Baltimore, MD.
In this role, you will bridge the gap between complex data sets and actionable business insights. We pride ourselves on a collaborative environment where your contributions directly impact our strategic decisions. If you are passionate about uncovering trends and love the stability of a consistent paycheck, we want to meet you.
Why Join Us?
- Weekly Pay Schedule: Get paid every week, not just bi-weekly.
- Competitive Compensation: Salary range of $70k - $90k.
- Modern Tools: Work with the latest BI software and cloud technologies.
- Growth Opportunities: Clear pathways for career advancement within the company.
Don't miss this opportunity to advance your career in data analytics with a company that puts its employees first.
Responsibilities
- Collect, clean, and interpret large sets of data to identify patterns and trends.
- Design and maintain complex database systems and data models.
- Create visualizations, dashboards, and reports using tools like Tableau or Power BI.
- Collaborate with cross-functional teams to understand business needs and translate them into data requirements.
- Perform statistical analysis to forecast future trends and support decision-making.
- Ensure data accuracy, integrity, and security across all platforms.
- Present findings and recommendations to stakeholders in a clear and concise manner.
Qualifications
- Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field.
- Proven experience (3+ years) as a Data Analyst or similar role.
- Strong proficiency in SQL for data querying and manipulation.
- Expertise in Excel and experience with Python or R is a plus.
- Experience with data visualization tools such as Tableau, Power BI, or Qlik.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills with the ability to explain complex data concepts to non-technical audiences.