Job Description
Are you a visionary Data Analyst looking to make an impact on a top-tier technology team? Apex Data Systems is urgently hiring for a highly skilled Data Analyst to join our Weekend Shift operations in Baltimore, MD.
We are a leading innovator in data-driven solutions, and we are seeking a dedicated professional who thrives in a fast-paced environment. In this role, you will bridge the gap between complex data and strategic decision-making, ensuring our weekend data pipelines are robust and our insights are actionable.
Join us and work with cutting-edge technologies in a culture that values precision and innovation.
Responsibilities
- Data Mining & Cleaning: Extract, clean, and transform complex datasets from multiple sources to ensure high-quality data for analysis.
- Dashboard Creation: Design and maintain interactive visualizations in Tableau and PowerBI to track KPIs and performance metrics.
- Trend Analysis: Conduct deep-dive statistical analysis to identify market trends, customer behaviors, and operational inefficiencies.
- Reporting: Generate comprehensive weekly and monthly reports for stakeholders, translating technical findings into clear business recommendations.
- Collaboration: Partner with engineering and product teams to define data requirements and improve data architecture.
- Quality Assurance: Monitor data integrity and validate analytical models to prevent errors in reporting.
Qualifications
- Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related quantitative field.
- Experience: 3+ years of professional experience in data analysis, preferably within the tech or finance sector.
- Technical Skills: Proficiency in SQL for database querying and strong knowledge of Python or R for data manipulation.
- Visualization: Advanced skills in data visualization tools such as Tableau, PowerBI, or Looker.
- Excel: Expert-level proficiency in Microsoft Excel, including VLOOKUP, PivotTables, and macros.
- Communication: Exceptional ability to communicate complex data insights to non-technical audiences effectively.