Top Senior Data & Analytics Jobs in Tampa, FL

Design and build data infrastructure, pipelines, and integration solutions using cloud and big-data tools. Develop data lakes/warehouses, ensure data quality and security, apply data modeling and DAGs, use Databricks, Airflow, and Hadoop, and collaborate with clients to deliver actionable insights.

Lead governance and optimization of speech analytics and Qualtrics CX capabilities, integrate survey, speech, and operational data, deliver actionable customer insight narratives, analyze end-to-end journeys to identify friction and drive cross-functional initiatives to improve customer experience and reduce expense.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

The Data Modelling role requires expertise in data modeling tools, extensive consulting experience, and strong analytical skills, particularly in the finance domain.

Design and build scalable data lakes, warehouses, and lakehouse architectures. Implement Python ETL/ELT pipelines, orchestrate workflows with Airflow, ingest data from third-party APIs, optimize columnar formats and SQL, and consult stakeholders to translate business goals into data architecture roadmaps using Spark, Snowflake, and AWS/GCP.

Lead data modeling and engineering efforts on Databricks for client engagements: design and document data models, build transformations and pipelines, mentor teams, deliver data products, optimize data delivery and ETL for analytics using cloud and big-data technologies.

Lead strategic analysis using quantitative and qualitative methods to inform business strategy. Develop analytical frameworks, evaluate P&L drivers, build insights from data, communicate findings to senior leaders, and support risk and compliance. Mentor team members and integrate analytic approaches across product, pricing, marketing, credit risk, distribution, and member experience.

The Analyst manages relationships with data providers, analyzes sales data, creates Power BI dashboards, and delivers insights to leadership to drive sales strategies.

The SAP Business Analyst will gather requirements, define RTR needs, lead workshops, and support SAP S/4HANA implementation with a focus on the CO module.

Provide space management and section merchandising for assigned categories and customers. Analyze financial and syndicated data, develop client reporting, create and maintain planograms meeting visual standards, run team/client meetings, ensure data quality and accuracy, and collaborate with BI associates and vendors to deliver space-related insights.