Top Data & Analytics Jobs in Tampa, FL

Owns go-to-market funnel reporting and analytics from lead generation through pipeline, bookings, and ARR. The role analyzes conversion, pipeline quality, CAC, LTV, marketing ROI, and sales efficiency across segments and channels. It builds dashboards, forecasts, and executive insights while partnering with Marketing, Sales, Revenue Operations, and Finance on attribution, data integrity, budgeting, and investment decisions.

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.

Leverage data analytics, business intelligence, and data science techniques to deliver strategic insights and solutions for clients. Build reports, dashboards, data pipelines, visualizations, and data architecture using tools such as Oracle BI, QlikView, Spotfire, and BIRT. Ensure data quality, manage stakeholder relationships, improve analytics processes, interpret complex datasets, and mentor junior team members while contributing to client projects and business strategy.

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.

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.

The Senior Informaticist analyzes process, operational, and engagement data using AI process mining tools and enterprise data sources. They assess data readiness, define metrics and KPIs, build and maintain Power BI dashboards, create visual narratives and infographics, identify trends and improvement opportunities, and communicate actionable insights. The role partners closely with program managers and operational stakeholders in a cross-functional environment, iterating analyses and visualizations to support decision-making and continuous improvement.

Lead client-facing data engineering initiatives, designing scalable data pipelines, architectures, models, and schemas. Translate business requirements into technical solutions, optimize data delivery and automation, mentor engineering teams, and support project planning, proposals, estimation, and solution delivery. Work with technologies including Databricks, Spark, Snowflake, Airflow, Kafka, cloud services, SQL, and programming languages such as Python, Scala, Java, and C++. Travel averages 30–50%, with home-office work when not at client sites.

Develops insight reports, analyzes internal, retailer, and syndicated data, manages internal systems, and provides actionable category management and CPG insights. Supports field and client teams, daily Insight Team operations, business growth, and process improvement while ensuring accuracy and meeting deadlines.

Develops insight reports, analyzes internal, retailer, and syndicated data, supports insight systems and daily team functions, and provides actionable recommendations to field and client teams. The role requires category management and CPG experience, advanced Microsoft Office and Power BI skills, and familiarity with Circana and Nielsen Discover. It also contributes to business growth, process improvement, accurate workload management, and deadline adherence.

Leads enterprise data strategy, governance, analytics enablement, reporting platforms, and operational data services. Establishes data operating models, ownership, quality, lineage, privacy, security, and regulatory controls. Oversees senior data leaders and cross-functional teams, prioritizes initiatives, enables self-service analytics, and partners with executives to deliver measurable business value, efficiency, compliance, and risk reduction across complex business units.