Top Data & Analytics Jobs in Tampa Bay, FL

The Senior Data Systems Engineer will work with clients to develop innovative technology plans, focusing on data modeling, system architectures, and reporting requirements. Responsibilities include ETL development, report creation, and designing analytics platforms, while applying machine learning and statistical analysis expertise to address operational challenges.

The Cloud Cost Analyst supports cloud modernization initiatives through the analysis, forecasting, and optimization of cloud expenses. Responsibilities include monitoring cloud spending, developing financial reports, identifying cost-saving opportunities, assisting in budgeting, and analyzing vendor contracts to optimize resource expenditures during migration projects.

As a Lead Data Engineer at DICK'S Sporting Goods, you will design and manage data platforms, ensuring scalability and reliability. Responsibilities include automating CI/CD pipelines, maintaining enterprise data solutions, creating dashboards for monitoring, and driving technical strategies for cloud resources. Proficiency in coding/scripting and experience with cloud platforms and Infrastructure as Code is required.

The Data Scientist II role involves building machine learning models, researching product and customer behavior data for improvements, and employing predictive analytics techniques. You'll be responsible for conducting advanced data collection and analysis, making recommendations for data systems enhancement, and supporting the creation of complex machine learning algorithms.

The Data Analyst I will integrate and analyze data across platforms to inform recruitment strategies, develop analytical models for enhanced data accessibility, create staffing models for resource allocation, and build dashboards for reporting critical activities. Responsibilities also include performing studies and assessments using various quantitative and qualitative analytical techniques.

The Data Analyst II will lead data integration, develop analytical models, build dashboards, and perform analyses to support workforce data trends and resource allocation for decision-making. Responsibilities include using mathematical and statistical methods to analyze data, ensure alignment with standards, and provide insights for recruitment and retention initiatives.

The Database Administrator will monitor and optimize geospatial databases, perform SQL Server administration, and work collaboratively with various teams to improve database performance, implement data standards, and assist in database design and development.

The Data Scientist will develop and maintain ETL processes, generate insightful reports from financial data, analyze performance indicators, and collaborate with cross-functional teams to improve financial operations and data quality.

As a Sr Analyst in Digital Product Analytics, you will design, develop, and implement data models while analyzing product metrics, conducting data mining, and improving business strategies based on insights. You will communicate findings effectively and mentor entry-level analysts.

As a Data Advisory Director, you will lead client engagements, advising Fortune 500 companies on data strategy and transformation. You will craft data strategies, design business cases, and establish roadmaps to enhance business outcomes, while navigating complex scenarios and keeping abreast of industry trends.