Job Description
Are you a data-driven problem solver looking to make a tangible impact in Virginia Beach? Global Data Systems is seeking a highly skilled and analytical Senior Data Analyst to join our growing team. In this role, you will bridge the gap between complex data and strategic business decisions, helping us optimize operations and drive growth. If you excel at translating raw data into actionable insights, we want to hear from you.
Our culture thrives on innovation, collaboration, and continuous improvement. As a Senior Data Analyst, you will work closely with cross-functional teams to uncover trends, build predictive models, and present findings that shape our future.
Responsibilities
- Conduct in-depth data analysis: Gather, clean, and interpret complex datasets to identify trends, patterns, and opportunities for business improvement.
- Develop dashboards and reports: Design and maintain interactive dashboards (using tools like Tableau or Power BI) that provide real-time visibility into key performance indicators (KPIs) for stakeholders.
- SQL and Data Modeling: Write efficient SQL queries to extract data from multiple sources and construct robust data models to support reporting requirements.
- Statistical Analysis: Apply statistical methods and machine learning techniques to forecast trends and support strategic planning.
- Collaboration: Partner with product managers, engineers, and executives to understand data needs and deliver comprehensive solutions.
Qualifications
- Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field (Master’s degree preferred).
- Experience: 3+ years of professional experience in data analysis or business intelligence.
- Technical Skills: Proficiency in SQL, Python, or R; experience with visualization tools such as Tableau or Power BI.
- Attention to Detail: Strong ability to detect anomalies and ensure data accuracy and integrity.
- Communication: Excellent verbal and written communication skills, with the ability to present complex data to non-technical audiences.