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Data Analytics Sales Jobs in Florida (NOW HIRING)

... and sale. As Data Analyst, you will have the opportunity to thrive in a fast-moving, fluid ... The Data and Analytics team delivers high-value analysis and actionable insights that support ...

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Sales & Marketing Reports To: Sales Operations Manager FLSA Status : Exempt Company Summary ... QUALIFICATIONS: * 3 years of experience in analytics, data analytics, business intelligence, or a ...

Sr. Analytics Engineer

Tampa, FL

$98K - $135K/yr

Familiarity with Databricks, Azure SQL, cloud data platforms, and modern data-warehouse architectures. * Experience supporting executive reporting, FP&A, Commercial Analytics, Sales Operations, or ...

... level sales, claims data, rebate and chargeback data, inventory, pipeline, and customer/channel ... Analyze product- and customer-level revenue and margin trends, pricing realization, customer ...

Sr. Analytics Engineer

Tampa, FL ยท On-site

$98K - $135K/yr

Familiarity with Databricks, Azure SQL, cloud data platforms, and modern data-warehouse architectures. * Experience supporting executive reporting, FP&A, Commercial Analytics, Sales Operations, or ...

... level sales, claims data, rebate and chargeback data, inventory, pipeline, and customer/channel ... Analyze product- and customer-level revenue and margin trends, pricing realization, customer ...

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Data Analytics Sales information

See Florida salary details

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How much do data analytics sales jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for data analytics sales in Florida is $24.99, according to ZipRecruiter salary data. Most workers in this role earn between $19.42 and $31.63 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Data analytics sales roles often value experience and skills over age, and many professionals transition into data science at various stages of their careers. Learning relevant tools like Python, R, or SQL and gaining certifications can help improve prospects, regardless of age. Age should not be a barrier to entering data science or related fields if you develop the necessary expertise.

What is data analysis in sales?

Data analysis in sales involves examining sales data to identify trends, patterns, and insights that can inform business decisions. Sales analysts use tools like Excel, SQL, or data visualization software to interpret customer behavior, sales performance, and market opportunities, supporting strategies to increase revenue and improve sales processes.

What are the typical daily responsibilities of someone in a Data Analytics Sales role?

A Data Analytics Sales professional typically spends their day prospecting new clients, conducting product demonstrations, and collaboratively working with internal analytics teams to tailor solutions to client needs. They also follow up on leads, draft proposals, negotiate contracts, and provide post-sales support to ensure client satisfaction and retention. Regular communication with product and data teams is common, as it helps bridge technical capabilities with customer requirements. This blend of analytical understanding and client-focused work is essential for building strong, lasting business relationships in the data analytics sector.

What is the highest paid job in sales?

In sales, executive roles such as Vice President of Sales or Chief Sales Officer tend to be the highest paid, often earning six-figure salaries plus bonuses and commissions. These positions require extensive experience, strategic skills, and leadership abilities, and compensation varies by industry and company size.

Is data analytics good for sales?

Data analytics is valuable for sales roles as it helps identify customer trends, optimize sales strategies, and improve decision-making. Skills in tools like Excel, SQL, or Tableau enhance a data analyst's ability to interpret sales data effectively. Using data-driven insights can lead to increased sales performance and better targeting of potential clients.

What are the key skills and qualifications needed to thrive in the Data Analytics Sales position, and why are they important?

To thrive as a Data Analytics Sales professional, you need a strong background in data analytics concepts, sales acumen, and customer relationship management, often supported by a relevant degree in business, analytics, or a related field. Familiarity with analytics platforms (such as Tableau or Power BI), CRM systems, and sales enablement tools, along with industry certifications, will boost your effectiveness. Excellent communication, active listening, and persuasive skills set top performers apart when translating complex data solutions for diverse clients. These abilities are crucial because they enable you to identify customer needs, demonstrate the value of data-driven solutions, and ultimately drive business growth.

What is a Data Analytics Sales job?

A Data Analytics Sales job involves selling data analytics solutions, tools, and services to businesses looking to leverage data for strategic decisions. Professionals in this role identify potential clients, understand their data needs, and demonstrate how analytics solutions can drive business value. They work closely with data teams to showcase product capabilities and help clients implement the right analytics strategies. Strong communication, negotiation, and technical understanding of data processes are key skills for success in this role.

What are the most commonly searched types of Data Analytics Sales jobs in Florida? The most popular types of Data Analytics Sales jobs in Florida are:
Infographic showing various Data Analytics Sales job openings in Florida as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $51,976 per year, or $25 per hour.

DATA ANALYTICS & REPORTING MANAGER

ONE ALLIANCE INSURANCE MANAGERS INC

Sarasota, FL โ€ข On-site

Full-time

Posted 5 days ago


Job description

The Data Analytics and Reporting Manager is responsible for leading the day-to-day execution of OANA's Data & Analytics organization, ensuring the successful delivery of reporting, analytics, data engineering, data integration, and operational data services across the enterprise.

This role serves as the operational leader of the Data Team and is accountable for managing the team's daily workload, project execution, production support, incident management, stakeholder engagement, and personnel development. The Data Analytics and Reporting Manager executes the strategic vision established by the Director of Data & Software Development and ensures alignment with enterprise architecture, governance standards, and business priorities.

As OANA continues its modernization journey through the Cortex Data Mesh platform, this role will help drive the implementation and operation of enterprise data products, APIs, reporting solutions, and analytical capabilities that support Underwriting, Claims, Accounting, Sales, Risk Management, and future business domains.

KEY RESPONSIBILITIES

Team Leadership & People Management

  • Lead and manage daily operations of the Data & Analytics team
  • Conduct regular one-on-one meetings and performance reviews
  • Manage employee performance, coaching, mentoring, and career development
  • Establish workload priorities and resource allocation
  • Support recruiting, interviewing, onboarding, and training activities
  • Develop succession plans and growth opportunities within the team
  • Foster a culture of accountability, continuous improvement, and customer service

Data Delivery & Operational Management

  • Own successful execution of enterprise reporting, dashboards, data products, and engineering initiatives
  • Ensure timely delivery of Accounting month-end, Claims, Underwriting, Executive, and Regulatory reporting
  • Manage data integration efforts, operational support, production incidents, and data quality investigations
  • Monitor team performance against service level agreements and delivery commitments

Project & Portfolio Execution

  • Oversee data platform initiatives, BI projects, reporting enhancements, data migration, and API development
  • Lead sprint planning, backlog grooming, resource planning, and task prioritization
  • Manage dependencies, identify risks, and maintain stakeholder communication
  • Provide regular status updates to the Director of Data & Software Development

Incident & Production Support Management

  • Serve as operational owner for data incidents, reporting failures, integration/ETL issues, and data quality concerns
  • Lead incident triage, root cause analysis, escalation management, and resolution tracking
  • Develop preventative action plans and maintain proper monitoring and support processes

Data Product & Data Mesh Operations

  • Support implementation and operation of OANA's Cortex Data Mesh architecture
  • Manage data product lifecycle, quality monitoring, domain ownership, and data catalog maintenance
  • Ensure data products remain aligned with enterprise standards and business requirements

API & Integration Delivery

  • Lead operational delivery of APIs and integrations, including but not limited to Guidewire InsuranceSuite.
  • Manage API backlog, integration prioritization, data contracts, and performance monitoring
  • Support the evolution of Cortex as the enterprise source of truth and integration hub

Stakeholder Management

  • Act as primary operational contact for Accounting, Claims, Underwriting, Sales, Risk Management, and IT Operations
  • Lead requirement clarification, prioritization discussions, status communications, and issue resolution
  • Escalate strategic decisions and conflicts to the Director.

TECHNICAL RESPONSIBILITIES

The Data Analytics and Reporting Manager should possess sufficient technical expertise to guide the team, review designs, and participate in solution architecture discussions across the following areas:

Data Architecture

  • Data Mesh, Data Warehouse, Data Lakehouse, Operational Data Stores
  • Master Data Management and Data Product architecture

Software Development Practices

  • Agile/Scrum, SDLC, CI/CD, Source Control, API Lifecycle Management, Testing Methodologies

Data Engineering

  • ETL/ELT methodologies, data modeling, transformation and quality frameworks, data lineage

Analytics & Reporting

  • Executive dashboards, operational reporting, self-service analytics, KPI development, performance scorecard

Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Analytics, or related field
  • 10+ years in Data Analytics, Business Intelligence, Data Engineering, or Data Management
  • 10+ years of Property & Casualty insurance industry experience
  • 3+ years of leadership experience managing technical teams
  • Experience managing both analysts and engineers
  • Experience delivering enterprise reporting and analytics solutions
  • Strong understanding of data architecture principles
  • Experience leading Agile teams and project delivery
  • Strong communication and stakeholder management skills