Job Description
Are you looking to kickstart your career in Data Science?
Apex Data Systems is seeking a motivated Junior Data Analyst to join our growing team in Washington, DC. In this role, you will have the opportunity to work on high-impact projects that shape public policy and business strategy. We offer a collaborative environment, mentorship from senior experts, and a clear path for professional growth.
Why Join Us?
- Competitive salary and comprehensive benefits package.
- Hybrid work model (3 days in-office).
- Professional development and certification reimbursement.
- Located in the heart of Downtown DC.
Apply today to become part of our innovative team!
Responsibilities
- Data Collection & Cleaning: Gather, clean, and validate large datasets from various sources to ensure accuracy for analysis.
- Dashboard Creation: Build and maintain interactive dashboards using Power BI or Tableau to visualize key performance indicators (KPIs).
- Statistical Analysis: Perform statistical analysis and data modeling to identify trends and provide actionable insights to stakeholders.
- Reporting: Prepare detailed reports and presentations for executive leadership, translating complex data into easy-to-understand insights.
- Collaboration: Work closely with cross-functional teams (marketing, operations, and finance) to understand their data needs.
- Database Management: Assist in maintaining databases and ensuring data security compliance standards are met.
Qualifications
- Education: Bachelor’s degree in Mathematics, Statistics, Economics, or a related field (or currently pursuing a degree).
- Technical Skills: Basic knowledge of SQL, Python, or R is highly preferred.
- Tools: Proficiency in Microsoft Excel (PivotTables, VLOOKUP) and experience with data visualization tools.
- Analytical Mindset: Strong attention to detail and the ability to think critically about data patterns.
- Communication: Excellent verbal and written communication skills to present findings to non-technical audiences.
- Problem Solving: Proactive approach to identifying issues within datasets and proposing solutions.