Top Remote Analysis Reporting Jobs in Tampa, FL

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

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.

Builds and maintains data pipelines and datasets supporting analytics, AI, and modeling. Responsibilities include ingesting healthcare claims and lab data into Snowflake and AWS Iceberg, processing structured and unstructured sources, curating data for AI use cases, implementing medallion architectures, evaluating data quality, and contributing to pilot initiatives using SQL, Python, AWS Glue, Terraform, and Snowflake.

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 competitive intelligence for USAA’s annuity business, analyzing competitors, products, pricing, market trends, filings, and industry developments. Translates insights into strategic recommendations, executive briefings, competitive positioning, and growth initiatives. Manages enterprise-wide research projects, intelligence processes, external agencies, budgets, risk considerations, and a team of analysts. Requires deep annuity and life insurance industry knowledge, strong quantitative and qualitative analysis, executive communication, and leadership skills.

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.

Analyzes syndicated, customer, shipment, and consumption data to deliver strategic category insights for major retail clients. Develops reports, dashboards, promotional pricing analyses, business reviews, and customer-specific selling stories. Partners with sales and analytics teams to identify business opportunities, improve trade effectiveness, and translate complex data into actionable recommendations. May mentor Business Intelligence Analysts and support data-quality and process-improvement initiatives.

Leads the organization’s data strategy, analytics, and measurement capabilities. Advises enterprise clients on attribution, incrementality, marketing mix modeling, customer acquisition, and lifetime value. Develops measurement frameworks, dashboards, reporting products, and analytics tools while partnering with strategy, sales, client services, and AI teams. Builds internal data literacy, coaches talent, supports commercial growth, and represents the company as an external thought leader in partnership marketing measurement.