Job Description
Are you a data-driven thinker looking to drive strategic decisions in a high-growth environment? Nexus Data Solutions is seeking a highly skilled Data Analyst to join our dynamic team in Tampa, FL.
We are a forward-thinking organization that leverages big data to solve complex business problems. As a key member of our analytics team, you will uncover trends, build predictive models, and empower stakeholders with actionable insights. In return, we offer a competitive salary, comprehensive benefits, and equity options to align your success with the company's growth.
Why Join Us?
- Competitive base salary with performance bonuses.
- Comprehensive health, dental, and vision insurance.
- Generous equity options package for all full-time employees.
- Flexible work schedule and remote work flexibility.
- Professional development and certification reimbursement.
Responsibilities
- Collect, clean, and transform large datasets from various sources to ensure data accuracy and integrity.
- Develop complex SQL queries and Python scripts to extract meaningful insights.
- Create interactive dashboards and visualizations using Tableau and Power BI to monitor KPIs and business performance.
- Collaborate with cross-functional teams (Marketing, Sales, Operations) to identify key business metrics and reporting needs.
- Perform statistical analysis and forecasting to support strategic planning and decision-making processes.
- Present findings and recommendations to executive leadership in a clear, concise, and compelling manner.
- Automate reporting processes to increase efficiency and reduce manual errors.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field (Master’s degree preferred).
- 3+ years of professional experience in data analysis or business intelligence.
- Advanced proficiency in SQL (writing complex queries, joins, subqueries).
- Strong experience with data visualization tools (Tableau, Power BI, or Looker).
- Proficiency in programming languages such as Python or R.
- Excellent communication skills with the ability to translate technical data into business value.
- Experience with data warehousing concepts (ETL processes) and cloud platforms (AWS, Azure, or Google Cloud).