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Sales Analytics Manager Jobs in Boca Raton, FL (NOW HIRING)

Job Summary Responsible for managing, analyzing, and validating all aspects of customer rebates, allowances and discounts. Perform detailed sales analysis to evaluate customer compliance and review ...

Job Summary Responsible for managing, analyzing, and validating all aspects of customer rebates, allowances and discounts. Perform detailed sales analysis to evaluate customer compliance and review ...

Analyze quarterly and yearly data, forward thinking to achieve team sales goals. * Meet with FP&A ... Oversee and work with managers as well as HR in the recruitment and onboarding process of ...

Manage sales forecasting, reporting, and data analysis to provide actionable insights into sales performance and growth opportunities. * Partner with Sales and Marketing leadership to refine lead ...

Manage sales forecasting, reporting, and data analysis to provide actionable insights into sales performance and growth opportunities. * Partner with Sales and Marketing leadership to refine lead ...

Manage sales forecasting, reporting, and data analysis to provide actionable insights into sales performance and growth opportunities. * Partner with Sales and Marketing leadership to refine lead ...

Cendyn is seeking a Sales Director who is a results-driven hunter, with a proven track record of ... Review and analyze market data * Identify potential hotel, management company, brand and ownership ...

Cendyn is seeking a Sales Director who is a results-driven hunter, with a proven track record of ... Review and analyze market data * Identify potential hotel, management company, brand and ownership ...

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Sales Analytics Manager information

See Boca Raton, FL salary details

$79.7K

$102.5K

$171.3K

How much do sales analytics manager jobs pay per year?

As of Jun 15, 2026, the average yearly pay for sales analytics manager in Boca Raton, FL is $102,488.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,900.00 and $94,400.00 per year, depending on experience, location, and employer.

Is AI replacing data analysts?

For a Sales Analytics Manager, AI tools are increasingly used to automate routine data processing and generate insights, but they do not fully replace the need for skilled data analysts. Human expertise remains essential for interpreting complex data, making strategic decisions, and ensuring data quality. Analysts who develop skills in AI and machine learning can enhance their value in the role.

What is the difference between Sales Analytics Manager vs Sales Operations Analyst?

AspectSales Analytics ManagerSales Operations Analyst
Required CredentialsBachelor's degree in Business, Analytics, or related field; often prefers experience with data analysis toolsBachelor's degree in Business, Analytics, or related field; familiarity with CRM and data tools
Work EnvironmentLeads data analysis teams, collaborates with sales leadership, focuses on strategic insightsSupports sales teams with process improvements, data management, and reporting
Employer & Industry UsageCommon in sales-driven organizations, tech, and retail sectorsWidely used across industries to optimize sales processes and efficiency

The Sales Analytics Manager focuses on analyzing sales data to inform strategic decisions, while the Sales Operations Analyst supports daily sales activities and process improvements. Both roles require analytical skills and familiarity with data tools, but their primary responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a Sales Analytics Manager, and why are they important?

To thrive as a Sales Analytics Manager, you need strong analytical skills, business acumen, and a background in statistics, mathematics, or a related field, often supported by a bachelor’s or master’s degree. Expertise with data visualization tools like Tableau, CRM systems such as Salesforce, and advanced Excel or SQL skills are typically required. Outstanding communication, problem-solving abilities, and leadership skills help drive cross-functional collaboration and translate data insights into actionable business strategies. These skills are crucial for optimizing sales performance, guiding decision-making, and delivering measurable business growth.

How much do analytics managers make in the US?

Analytics managers, including sales analytics managers, typically earn a median annual salary of around $85,000 to $120,000 in the US, depending on experience, industry, and location. Senior roles or those with specialized skills in data analysis tools like SQL or Tableau can earn higher compensation, often exceeding $130,000 annually.

What does a Sales Analytics Manager do?

A Sales Analytics Manager is responsible for analyzing sales data to uncover trends, forecast future sales, and provide actionable insights to drive business growth. They collaborate closely with sales teams and leadership to develop strategies based on data-driven findings. Their role often includes creating reports, managing analytics tools, and ensuring that sales goals are tracked and achieved using quantitative evidence.

What are some common challenges faced by Sales Analytics Managers, and how can they be addressed?

Sales Analytics Managers often encounter challenges such as integrating data from multiple sources, ensuring data accuracy, and translating analytical findings into actionable sales strategies. Addressing these issues usually involves collaborating closely with IT and sales teams to streamline data pipelines, implementing robust data validation processes, and developing clear communication channels to share insights with non-technical stakeholders. Staying proactive in adopting new analytical tools and fostering cross-functional partnerships can greatly enhance effectiveness in this role.

What are the 4 types of analytics?

In sales analytics management, the four main types of analytics are descriptive, which summarizes past sales data; diagnostic, which investigates reasons behind sales trends; predictive, which forecasts future sales based on historical data; and prescriptive, which recommends actions to improve sales outcomes. These analytics help sales managers make data-driven decisions and optimize strategies using tools like CRM and data visualization software.

What does a sales analysis manager do?

A sales analysis manager is responsible for examining sales data to identify trends, measure performance, and support strategic decision-making. They use tools like Excel or business intelligence software to generate reports, forecast sales, and improve sales processes. Strong analytical skills and understanding of sales metrics are essential for this role.
What are popular job titles related to Sales Analytics Manager jobs in Boca Raton, FL? For Sales Analytics Manager jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Sales Analytics Manager jobs in Boca Raton, FL look for? The top searched job categories for Sales Analytics Manager jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Sales Analytics Manager jobs? Cities near Boca Raton, FL with the most Sales Analytics Manager job openings:
Infographic showing various Sales Analytics Manager job openings in Boca Raton, FL as of June 2026, with employment types broken down into 6% As Needed, 82% Full Time, 6% Part Time, and 6% Temporary. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $102,488 per year, or $49.3 per hour.
Director of Analytics

Director of Analytics

Blue Compass RV

Fort Lauderdale, FL • On-site

Other

Posted 26 days ago


Blue Compass RV rating

6.1

Company rating: 6.1 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

97th of 142 rated car dealerships


Job description

Director of Marketing Analytics

Blue Compass RV is seeking a Director of Marketing Analytics to lead the transformation of data into a competitive advantage across our marketing organization. This role is responsible for building a performance-driven analytics function that directly impacts revenue, lead quality, and marketing efficiency.

This leader will bring a hands-on, operator mindset, with proven experience owning KPIs tied to lead generation, showroom traffic, unit sales, and marketing ROI. The ideal candidate thrives in a fast-paced, decentralized retail environment and understands the nuances of multi-location performance marketing.

WHAT YOU’LL DO

  • Own end-to-end marketing performance measurement, directly tying campaign activity to revenue outcomes, including leads, appointments, showroom visits, and unit sales.
  • Define, implement, and continuously optimize core KPIs, including:
    • Cost per Lead (CPL)
    • Cost per Sale (CPS)
    • Lead-to-Appointment Rate
    • Appointment-to-Sale Conversion Rate
    • Inventory Turn Rate (marketing-influenced)
    • Return on Ad Spend (ROAS)
    • Customer Acquisition Cost (CAC)
  • Lead the development of a closed-loop attribution model, connecting digital engagement to offline sales across dealership systems and CRM platforms.
  • Partner closely with Sales, Operations, and Field Leadership to align marketing analytics with store-level performance and revenue goals.
  • Build and scale real-time dashboards and reporting frameworks that provide visibility from executive-level summaries down to individual store and campaign performance.
  • Analyze channel-level performance (Paid Search, Paid Social, OEM programs, third-party marketplaces, email, website) and drive continuous optimization based on data.
  • Develop advanced models for:
    • Lead scoring and quality segmentation
    • Customer lifecycle and repurchase behavior
    • Inventory-based marketing optimization
    • Forecasting demand and budget allocation
  • Lead experimentation frameworks (A/B testing, geo testing, incrementality testing) to validate marketing impact and improve efficiency.
  • Establish and enforce best practices in data governance, tagging, tracking, and data integrity across all platforms.
  • Translate complex data into clear, actionable insights for executive leadership, influencing strategic decisions and investment allocation.
  • Build and mentor a high-performing analytics team, fostering a culture of accountability, curiosity, and measurable impact.
  • Develop deep expertise with the vendors and systems we use.
  • Identify and vet alternative technical solutions when appropriate.

WHAT YOU NEED TO SUCCEED

  • Bachelor’s degree in Marketing Analytics, Data Science, Business, or related field (Master’s preferred).
  • 7+ years of hands-on marketing analytics experience, with direct ownership of performance KPIs in Automotive, RV, Motorsports, or similar high-value retail industries.
  • Proven experience in a multi-location or dealer group environment, with a deep understanding of localized marketing performance and regional variability.
  • Demonstrated success improving key business outcomes such as:
    • Lead volume and quality
    • Conversion rates across the funnel
    • Marketing-driven revenue growth
    • Efficiency of media spend
  • Strong working knowledge of dealer systems, CRMs, and lead management processes, including how leads are handled, nurtured, and converted at the store level.
  • Expertise in tools such as:
    • Google Analytics (GA4), Google tag manager, Databricks, Rudderstack, MSFT Fabric
    • CRM platforms (Salesforce, HubSpot, DealerSocket, VinSolutions, etc.)
    • BI tools (Power BI, Tableau)
    • SQL, Python, and Excel
  • Experience building and operationalizing multi-touch attribution models and integrating online/offline data sources.
  • Strong analytical skills with the ability to work directly with large, complex datasets and uncover actionable insights.
  • Exceptional communication skills, with the ability to influence non-technical stakeholders, vendors, and drive action through data storytelling.
  • Highly organized, detail-oriented, and accountable, with a bias toward action and measurable results.
  • Passion for continuous testing, optimization, and performance improvement in a competitive retail environment.

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