Job Description
We are seeking a highly analytical and results-driven Data Analyst to join our elite tech team in Tampa, FL. At Apex Data Solutions, we leverage cutting-edge technology to transform raw data into actionable business intelligence. If you have a passion for uncovering trends and optimizing processes, we want you to drive our data strategy forward.
Why Join Us?
- Competitive Compensation: Earn between $85,000 and $115,000 based on experience.
- Modern Environment: Work with the latest tools and agile methodologies.
- Growth Opportunities: Clear path for career advancement in a thriving tech hub.
Responsibilities
- Extract and analyze data: Gather complex datasets from various sources and perform in-depth analysis to identify key trends and patterns.
- Visualize insights: Create interactive dashboards and reports using tools like Tableau and Power BI to communicate findings to stakeholders.
- Optimize data pipelines: Improve existing data infrastructure and processes to ensure data accuracy and efficiency.
- Collaborate with cross-functional teams: Partner with product managers and engineers to define data requirements and support business decision-making.
- Maintain data integrity: Implement data governance policies to ensure high-quality data standards across the organization.
- Forecast trends: Use statistical modeling to predict future market behaviors and support strategic planning.
Qualifications
- Education: Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field.
- Experience: 3+ years of professional experience in data analysis or a similar analytical role.
- Technical Skills: Proficiency in SQL for database querying and Python/R for statistical analysis.
- Visualization: Strong experience with data visualization tools such as Tableau, Power BI, or Looker.
- Communication: Excellent ability to translate complex data findings into clear, actionable insights for non-technical audiences.
- Problem Solving: Strong analytical mindset with the ability to troubleshoot data issues and propose innovative solutions.