Job Description
Are you a Data Analyst looking for financial stability and a predictable weekly paycheck? Join the Tampa Bay Analytics Group, where we bridge the gap between complex data and strategic business growth. We are currently seeking a highly skilled and analytical professional to join our team in Tampa, FL.
At Tampa Bay Analytics Group, we pride ourselves on our transparent culture and employee-centric approach. We don't just crunch numbers; we empower our team to make a tangible impact on the local economy. With our weekly pay structure, you can enjoy financial peace of mind while focusing on what you do best: uncovering insights.
Your Role:
As a Data Analyst, you will be responsible for collecting, processing, and performing statistical analyses on large datasets. You will work closely with cross-functional teams to identify trends, solve business problems, and present actionable insights that drive revenue and efficiency.
Why Choose Us?
- Weekly Payroll: Get paid every week, not bi-weekly or monthly.
- Modern Tech Stack: Work with the latest tools including Python, SQL, and Tableau.
- Growth Opportunities: Clear path to Senior Analyst and Leadership roles.
Responsibilities
- Collect, clean, and interpret data from various sources to identify patterns and trends.
- Design and maintain interactive dashboards (Tableau, Power BI) to visualize key performance indicators (KPIs) for stakeholders.
- Perform complex data modeling and statistical analysis to support business decision-making.
- Collaborate with marketing, finance, and operations teams to translate data requirements into technical solutions.
- Identify areas of improvement in business processes and recommend data-driven strategies.
- Document data processes, methodologies, and findings to ensure knowledge sharing across the organization.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field (or equivalent work experience).
- 3+ years of professional experience as a Data Analyst or similar role.
- Strong proficiency in SQL for data querying and manipulation.
- Expert level skills in data visualization tools such as Tableau or Power BI.
- Experience with programming languages like Python or R for data analysis.
- Excellent communication skills with the ability to explain complex data concepts to non-technical audiences.