Top Senior Analysis Reporting Jobs in Tampa, FL

Leads enterprise sanctions-screening analytics strategy, developing KPI frameworks, governance standards, dashboards, root-cause analyses, and predictive insights. Identifies false-positive drivers, workflow bottlenecks, and automation opportunities while recommending tuning and process improvements. Partners with technology, operations, compliance, and governance stakeholders to build business cases, implement analytics-enabled automation, monitor performance, and deliver executive-ready reporting.

Lead development and execution of data-driven strategies, manage project planning and delivery, mentor and coach team members, ensure quality and ethical standards, design cloud data architectures and governance frameworks, analyze complex datasets to produce actionable insights, and drive continuous improvement using advanced analytics and modern data technologies.

Leads customer insights management for Insurance Operations, translating customer, experience, and operational data into executive recommendations. Oversees KPIs, reporting, research, journey mapping, customer analytics, root-cause analysis, AI-enabled insights, and cross-functional improvement initiatives. Shapes the customer experience strategy and roadmap, manages team priorities and resources, leads strategic projects, and develops team capabilities through coaching and cross-training.

The Senior Business Analyst partners with business and technology teams to support account transfers and large-scale conversions. Responsibilities include gathering and documenting functional and non-functional requirements, analyzing data, mapping business processes, supporting application development and testing, translating between technical and business stakeholders, and assisting with project planning. The role requires knowledge of SDLC methodologies, risk and change management, relational databases, and software testing, with occasional non-standard shifts.

Lead the architecture and strategic direction of an enterprise data platform spanning ingestion, storage, processing, governance, and consumption. Establish standards for data modeling, lifecycle management, and modern data infrastructure while partnering with engineering, analytics, ML, and business teams. The role requires expertise in major data platforms, lakehouse architectures, streaming systems, governance, cloud infrastructure, and large-scale data platform initiatives.

Leads enterprise information architecture, business intelligence, and data warehouse strategy and delivery. Oversees BI and data warehouse teams, establishes roadmaps and governance, mentors technical staff, manages project priorities, and ensures high-quality implementation. Designs enterprise data models, datamarts, metadata, ETL processes, reporting strategies, and integration artifacts. Partners with business and technology stakeholders to align data solutions with strategic goals, improve adoption, track value, and drive continuous improvement.

Leads business intelligence and analytics for Verizon’s Business Markets Group. Designs measurement programs, develops advanced geospatial and financial models, evaluates sales and operational approaches, standardizes metrics, and converts complex data into strategic insights. Partners with business, technology, marketing sciences, and operational analytics teams while leading cross-functional data initiatives.

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.

Own end-to-end analytics for a designated business area, including data pipeline development, SQL analysis in AWS Redshift, Tableau dashboards, automated reporting, data quality, and stakeholder communication. Translate complex business questions into actionable insights, develop subject-matter expertise, identify data gaps, and independently drive solutions while partnering with revenue, product, operations, engineering, and BaaS stakeholders.

Leads operational reporting, analytics, quality monitoring, and data improvement for Government Savings Operations. Manages analysts, oversees KPI and SLA reporting, identifies trends and data-quality issues, and delivers actionable recommendations to leadership. The role drives reporting automation using Power BI and AI-enabled tools, reduces manual data preparation, supports forecasting and capacity planning, maintains controls and documentation, and partners with operations and technology teams on continuous improvement and regulatory compliance.