Job Description
Are you looking to kickstart your career in Data Analytics?
We are a fast-growing technology firm based in the heart of Virginia Beach, seeking a motivated Entry Level Data Analyst to join our dynamic team. We offer a competitive salary and Equity Options to all new hires, allowing you to grow alongside our company.
In this role, you will work closely with senior analysts and stakeholders to uncover insights from complex datasets, build interactive dashboards, and drive strategic decision-making. If you are analytical, curious, and eager to learn the tools of the trade, we want to meet you.
Why Join Us?
- Competitive Salary: $50k - $70k annually.
- Equity Options: Own a piece of the company's future success.
- Growth Opportunities: Clear career path into Senior Data Science roles.
- Modern Tools: Work with the latest in SQL, Python, and BI tools.
Responsibilities
- Collect and Process Data: Gather raw data from various sources, ensuring accuracy and completeness for analysis.
- SQL & Database Management: Write complex SQL queries to extract and manipulate large datasets efficiently.
- Visual Analytics: Create compelling data visualizations and interactive dashboards using tools like Tableau or Power BI to present findings.
- Trend Analysis: Analyze historical data to identify trends, patterns, and opportunities for business improvement.
- Reporting: Prepare regular performance reports for management, translating technical data into actionable business insights.
- Collaboration: Partner with cross-functional teams to understand their data needs and provide technical support.
Qualifications
- Education: Bachelor’s degree in Information Technology, Data Science, Statistics, or a related field (Graduates welcome).
- Technical Skills: Basic knowledge of SQL (SELECT, JOINs, subqueries) and familiarity with Excel.
- Tools: Experience with data visualization tools (Tableau, Power BI, or Looker) is a plus but not required.
- Attention to Detail: Strong analytical mindset with the ability to spot errors and inconsistencies in data.
- Communication: Excellent written and verbal communication skills to explain complex data to non-technical stakeholders.
- Problem Solving: Proactive attitude toward troubleshooting data issues and finding solutions.