Top Analysis Reporting Jobs in Tampa, FL

Designs and leads scalable data pipelines, data products, and cloud data solutions using AWS, Snowflake, dbt, SQL, and Python. Develops batch and near-real-time ingestion, curated data models, and AI-ready platforms while ensuring data quality, governance, observability, reliability, and performance. Establishes engineering standards, CI/CD practices, and infrastructure-as-code, troubleshoots production issues, collaborates with analytics and AI/ML teams, and mentors engineers.

Performs complex fraud analytics and financial modeling for money movement products. Uses SAS, SQL, Excel, Tableau, and databases to evaluate fraud risk, develop mitigation strategies, improve portfolio performance, and recommend policy changes. Leads reporting, strategy requirements, testing, and rollout activities, supports biometrics enhancements, and helps implement machine learning capabilities while communicating recommendations to senior management.

Analyzes customer loyalty data to generate actionable insights, recommendations, visualizations, and narratives for clients. Builds audience lists, applies segmentation and statistical modeling techniques, develops test plans, and collaborates with CRM, Data Engineering, Business Intelligence, Strategy, and Client Services teams. The role is client-facing and manages request prioritization while supporting loyalty marketing initiatives and measurable business outcomes.

Builds and maintains scalable data pipelines and reusable datasets in Databricks. Ingests, validates, transforms, and models structured and unstructured data using Python, PySpark, and SQL. Integrates warehouse and cloud analytics systems, supports Tableau and Spotfire reporting, improves reliability and performance, and implements testing, monitoring, documentation, and CI/CD. Collaborates with technical and business stakeholders while providing technical guidance, code reviews, and mentorship.

Leads long-range workforce and resource planning for contact center operations. Owns demand forecasting, staffing, capacity, headcount, cross-skill, and scenario models across business lines and channels. Develops advanced predictive and prescriptive analytics, performance metrics, and decision-support tools using complex data sets. Advises executives on resource allocation, service levels, costs, and business performance while governing data quality and analytical processes. Leads capacity planning analysts and drives continuous improvement through automation, machine learning, and improved forecasting methodologies.

Develop and deliver standard and customized client reporting, validate performance data, investigate reporting issues, and improve processes through automation. The role supports GIPS compliance, account setup and maintenance, client requests, documentation, and coordination with IT on reporting initiatives. Experience with investment management reporting, performance measurement, portfolio administration, fund accounting, data tools, and fixed income is preferred.

Supports analytics and reporting for ticket sales, premium seating, and service. Builds dashboards, scorecards, and recurring reports; analyzes customer, prospect, sales, and service data; tracks pipeline, conversion, inventory, retention, and revenue metrics; and supports forecasting and segmentation. Partners with CRM and data teams to validate data, perform quality checks, communicate insights, and identify trends, risks, and opportunities for stakeholders.

Develop and maintain logical and physical data models, architectures, schemas, pipelines, and ETL processes. Ensure data governance, compliance, integration, reuse, and quality. Analyze data requirements, create decision-support materials, and brief senior leaders. The role requires extensive experience in data engineering, ORSA, data science, warehousing, ingestion, profiling, SQL, pandas, Python, and distributed data environments, along with an active TS/SCI clearance.

Lead business intelligence strategy across product, clinical, commercial, finance, and engineering teams. Build measurement frameworks, semantic layers, reporting solutions, and visualizations that demonstrate business value and support data-informed decisions. Own the data lifecycle from ideation through client-facing delivery, ensure data governance and integrity, and translate complex datasets into actionable insights. Collaborate on scalable data architecture and apply statistical methods, advanced analytics, and emerging AI-driven BI capabilities.

Designs and maintains Power BI reports and dashboards using Microsoft Fabric semantic models. Builds data models, writes and optimizes DAX, applies security controls, validates data quality, and creates certified datasets and reusable templates. Partners with stakeholders to define reporting requirements, presents insights, participates in peer reviews, and uses AI tools to improve analysis and delivery.