1

Delivery Data Analyst Jobs in Boca Raton, FL (NOW HIRING)

As the Data Analyst Researcher , you'll build and deliver the research behind those decisions. You'll design studies, analyze quantitative data, measure product efficacy and return on investment (ROI ...

As the Data Analyst Researcher , you'll build and deliver the research behind those decisions. You'll design studies, analyze quantitative data, measure product efficacy and return on investment (ROI ...

... an analytical growth architect to bridge the gap between market reality, advanced data ... corresponding deliverable or business actions * Predictive Foresight & Value-Add Discovery:

Deliver high-quality customer service by managing escalations and resolving operational challenges ... Strong analytical and computer skills with the ability to evaluate data quality and operational ...

New

Deliver high-quality customer service by managing escalations and resolving operational challenges ... Strong analytical and computer skills with the ability to evaluate data quality and operational ...

New

next page

Showing results 1-20

Delivery Data Analyst information

See Boca Raton, FL salary details

$32.3K

$78.4K

$129.1K

How much do delivery data analyst jobs pay per year?

As of Aug 31, 2026, the average yearly pay for delivery data analyst in Boca Raton, FL is $78,423.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,300.00 and $92,000.00 per year, depending on experience, location, and employer.

What is a delivery data analyst?

Delivery Data Analysts are professionals who collect, analyze, and interpret data related to the delivery of products or services. They use data-driven insights to optimize delivery operations, improve efficiency, and enhance customer satisfaction. These analysts often work with large datasets, create reports, and collaborate with logistics, operations, and IT teams to identify trends, forecast demand, and resolve delivery challenges. Their work helps organizations streamline processes and make informed decisions to achieve better business outcomes.

How does a delivery data analyst typically collaborate with cross-functional teams to improve delivery efficiency?

As a Delivery Data Analyst, you'll work closely with operations, logistics, and IT teams to identify trends and bottlenecks in the delivery process. Your role often involves gathering and analyzing data, then presenting actionable insights to stakeholders to support decision-making. Effective collaboration means translating complex datasets into clear recommendations, participating in regular team meetings, and sometimes training colleagues on data-driven tools. This cross-functional teamwork is essential for streamlining delivery operations and achieving key performance targets.

What are the key skills and qualifications needed to thrive as a delivery data analyst, and why are they important?

To thrive as a Delivery Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a relevant degree in fields like statistics, mathematics, or computer science. Familiarity with data analysis tools such as SQL, Excel, Tableau, and programming languages like Python or R is typically required, along with experience using project management systems. Outstanding problem-solving, attention to detail, and effective communication skills are crucial for translating data insights into actionable recommendations for stakeholders. These competencies enable analysts to drive operational improvements and support data-driven decision-making within delivery and logistics environments.

What are popular job titles related to Delivery Data Analyst jobs in Boca Raton, FL?

For Delivery Data Analyst jobs in Boca Raton, FL, the most frequently searched job titles are:

What cities near Boca Raton, FL are hiring for Delivery Data Analyst jobs?

Cities near Boca Raton, FL with the most Delivery Data Analyst job openings:

Full-time

Re-posted 6 days ago


Job description

Position Summary:

Prestige Trucking Insurance is seeking a detail-oriented and analytical Data Analyst to support data-driven decision-making across the organization. This role is responsible for collecting, analyzing, validating, and reporting data from multiple business systems to deliver accurate insights that support operations, finance, underwriting, and leadership initiatives. The Data Analyst works closely with cross-functional stakeholders to ensure data integrity, create actionable reports and dashboards, and identify trends, risks, and opportunities that improve business performance. The ideal candidate brings strong analytical skills, technical proficiency, and a disciplined approach to data accuracy and continuous improvement.

Essential Duties and Responsibilities:

•    Collect, clean, validate, and analyze data from multiple internal systems to ensure accuracy, consistency, and usability

•    Develop and maintain recurring and ad-hoc reports, dashboards, and data visualizations for leadership and business teams

•    Analyze business performance metrics, trends, variances, and KPIs to support strategic and operational decision-making

•    Partner with finance, accounting, operations, underwriting, and leadership to understand data needs and translate business questions into analytical solutions

•    Ensure data integrity through ongoing reconciliation, validation checks, and documentation of data sources and methodologies

•    Support budgeting, forecasting, and financial analysis by providing accurate historical data and analytical insights

•    Assist with audit and compliance support by preparing data extracts, reports, and supporting documentation as needed

•    Identify data anomalies, inconsistencies, or gaps and work with system owners to resolve issues

•    Standardize reporting processes and documentation to ensure consistency and scalability across the organization

•    Collaborate with IT to support data integrations, system enhancements, and reporting tool optimization

•    Develop and maintain data definitions, metrics documentation, and reporting guidelines

•    Proactively identify opportunities to improve reporting efficiency, automation, and data quality

Knowledge / Skills / Abilities (KSA’s):

•    Analytical & Problem-Solving Skills – Ability to analyze complex datasets, identify trends, variances, and anomalies, and translate findings into clear, actionable business insights.

•    Business & Financial Acumen – Understanding of how data relates to financial performance, insurance operations, and business drivers, with the ability to support decision-making through meaningful analysis.

•    Data Accuracy & Integrity – Strong attention to detail and commitment to ensuring data consistency, accuracy, validation, and proper documentation across reports and systems.

•    Technical & Systems Proficiency – Ability to use data analysis tools, reporting platforms, spreadsheets, and databases effectively to extract, analyze, and present data while supporting data integrity and controls.

•    Communication Skills – Ability to clearly present data findings to both technical and non-technical stakeholders through written reports, dashboards, and verbal explanations.

•    Cross-Functional Collaboration Ability – Ability to work effectively with finance, accounting, operations, IT, and leadership to understand requirements and deliver reliable analytical solutions.

•    Organizational & Time Management Skills – Ability to manage multiple reporting priorities, meet deadlines, and maintain accuracy in a fast-paced, deadline-driven environment.

•    Confidentiality & Professionalism – Demonstrated ability to handle sensitive financial, operational, and business data with discretion and professionalism.

•    Process Improvement & Initiative – Ability to identify opportunities to streamline reporting, improve data quality, and enhance efficiency through automation and standardization.

Minimum Qualifications:

Required

•    Bachelor’s degree in Data Analytics, Finance, Accounting, Business, Information Systems, Statistics, Mathematics, or a related field

•    3–5 years of professional experience in a data analysis, reporting, or business intelligence role

•    Strong analytical skills with demonstrated experience collecting, validating, and analyzing large datasets

•    Proficiency in advanced Excel (pivot tables, lookups, formulas) and data analysis techniques

•    Experience developing recurring and ad-hoc reports, dashboards, and performance metrics

•    Strong understanding of data integrity, reconciliation, and quality control practices

•    Ability to translate business questions into data-driven insights and clear analytical outputs

•    Experience working cross-functionally with finance, accounting, operations, and leadership

•    Working knowledge of SQL, database querying, or data warehouse environments

•    Strong written and verbal communication skills with the ability to present data to non-technical audiences

•    High level of attention to detail, accuracy, confidentiality, and professionalism

•    Ability to manage multiple priorities and meet deadlines in a fast-paced environment

Preferred

•    Master’s Degree in related discipline

•    Industry certifications

•    Experience in the insurance industry, preferably trucking or commercial insurance

•    Experience supporting financial reporting, budgeting, forecasting, or operational analytics

•    Familiarity with accounting or financial data structures, including general ledger and operational metrics

•    Proficiency with data visualization and reporting tools (e.g., Power BI, Tableau, or similar)

•    Experience working with ERP, accounting, CRM, or agency management systems (Salesforce, NowCerts, or similar)

•    Working knowledge of Python or other coding languages

•    Experience supporting audits, regulatory reporting, or compliance-driven data requests

•    Demonstrated experience with reporting automation and process improvement initiatives

Physical Demands and Work Environment:

•    Office-based with standard business hours

•    Moderate noise level typical of a professional office environment

•    Occasional extended hours during reporting cycles, audits, or system implementations

•    Limited travel may be required for meetings or cross-functional initiatives



Standard business work hours are from 9am-6pm.