Job Description
Are you a data-driven professional looking to make a significant impact? Apex Data Systems is currently seeking a highly skilled Data Analyst to join our expanding team in Arlington, Virginia.
We understand the importance of work-life balance and financial security. That’s why we offer relocation assistance for candidates outside the area and a weekly pay schedule to ensure you are rewarded promptly for your hard work.
In this role, you will bridge the gap between technical data analysis and business strategy, helping our stakeholders make informed decisions through deep-dive analytics and predictive modeling.
Why Join Us?
- Comprehensive Relocation Package for eligible candidates.
- Weekly Pay Cycle for immediate financial relief.
- Competitive Health, Dental, and Vision Insurance.
- Flexible Work Schedule and Remote Work Options.
Responsibilities
- Perform complex data mining, cleaning, and preprocessing using SQL, Python, and R.
- Design and develop interactive dashboards in Tableau and Power BI to visualize key performance indicators (KPIs).
- Collaborate with cross-functional teams (Marketing, Finance, Operations) to identify business needs and translate them into data requirements.
- Conduct statistical analysis to identify trends, correlations, and anomalies in large datasets.
- Generate accurate, timely, and actionable reports for executive leadership.
- Automate repetitive data tasks to improve workflow efficiency.
- Maintain data governance standards and ensure data accuracy across platforms.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field (Master’s preferred).
- Minimum of 3-5 years of professional experience as a Data Analyst or Business Intelligence Developer.
- Expert proficiency in SQL (querying, stored procedures, window functions).
- Strong programming skills in Python or R for data manipulation.
- Experience with data visualization tools (Tableau, Power BI, or Looker).
- Excellent verbal and written communication skills to present complex data findings to non-technical audiences.
- Detail-oriented mindset with a strong focus on data integrity.