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Senior Manager Data Analytics Jobs in Boca Raton, FL

DHL eCommerce

Manager Commercial Analytics

Weston, FL · On-site

The Manager Commercial Analytics is responsible for overseeing all commercial and customer data ... Lead, train, and manage a team of analysts and senior analysts, providing guidance and ensuring the ...

TransUnion

Senior Data Operations Analyst

Boca Raton, FL · On-site

$81K - $103K/yr

The Senior Data Operations Analyst role is a wonderful opportunity to work in a fast-paced work ... Manage data applications across multiple platforms * Monitor day-to-day data operations and ...

Transunion

Senior Data Operations Analyst

Boca Raton, FL

$81K - $103K/yr

The Senior Data Operations Analyst role is a wonderful opportunity to work in a fast-paced work ... Manage data applications across multiple platforms * Monitor day-to-day data operations and ...

atrion

Sr. Manager - Quality Assurance

Davie, FL · On-site

The Sr. Manager of Quality Assurance leads the Quality Operations and Quality Engineering teams to ... Develops and validates test methods, performs data analysis, and writes/revises SOPs. * Reviews and ...

UKG, Inc.

Sr Mgr. Financial Planning & Analysis

Weston, FL · On-site

$103K - $141K/yr

... of analytics, KPIs, and metrics to provide actionable insights to senior sales leaders. This ... We synthesize data, understand business functions, build complex financial models, reimagine ...

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Senior Manager Data Analytics information

See Boca Raton, FL salary details

$42.7K

$108.6K

$159.9K

How much do senior manager data analytics jobs pay per year?

As of Jul 15, 2026, the average yearly pay for senior manager data analytics in Boca Raton, FL is $108,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,700.00 and $128,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Manager Data Analytics, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and several years of analytics experience. Proficiency with analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as experience with data warehousing systems, is essential. Strong leadership, strategic thinking, and communication skills enable you to guide teams and translate complex findings into actionable business insights. These competencies are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

What does a Senior Manager Data Analytics do?

A Senior Manager Data Analytics leads teams that analyze large sets of data to help organizations make informed business decisions. They develop analytics strategies, oversee data projects, and ensure the quality and integrity of data-driven insights. This role often involves collaborating with other departments, mentoring analysts, and presenting key findings to senior leadership. Senior Managers in this field need strong technical skills, leadership abilities, and business acumen to drive impactful results.

How does a Senior Manager of Data Analytics typically collaborate with cross-functional teams within an organization?

Senior Managers of Data Analytics frequently work alongside cross-functional teams such as IT, product development, marketing, and finance to ensure that data-driven insights align with business objectives. They are responsible for translating complex analytical findings into actionable recommendations and communicating these insights clearly to both technical and non-technical stakeholders. Regular collaboration often involves leading meetings, setting project priorities, and ensuring data initiatives are integrated smoothly with ongoing business strategies. This collaborative environment fosters innovation and helps drive organizational growth.

What is the difference between Senior Manager Data Analytics vs Data Analyst?

AspectSenior Manager Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership roles, strategic planning, team managementData collection, analysis, reporting
Employer & Industry UsageCorporate, finance, healthcare, tech companiesVarious industries, including marketing, finance, tech
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical and analytical skills

The main difference between Senior Manager Data Analytics and Data Analyst lies in their responsibilities and experience level. Senior Managers focus on strategic oversight, team leadership, and decision-making, while Data Analysts handle data collection, analysis, and reporting at a more technical level. Senior Managers typically have more experience and credentials, working in leadership roles within organizations across various industries.

What are popular job titles related to Senior Manager Data Analytics jobs in Boca Raton, FL? For Senior Manager Data Analytics jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Senior Manager Data Analytics jobs in Boca Raton, FL look for? The top searched job categories for Senior Manager Data Analytics jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Senior Manager Data Analytics jobs? Cities near Boca Raton, FL with the most Senior Manager Data Analytics job openings:
Senior Manager Data Analytics jobs near you
Infographic showing various Senior Manager Data Analytics job openings in Boca Raton, FL as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, 1% Temporary, and 2% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $108,630 per year, or $52.2 per hour.
Manager Commercial Analytics

Manager Commercial Analytics

DHL eCommerce

Weston, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

DHL rating

7.0

Company rating: 7.0 out of 10

Based on 319 frontline employees who took The Breakroom Quiz

34th of 63 rated delivery companies

Job description

Job Brief
The Manager Commercial Analytics is responsible for overseeing all commercial and customer data analytics, with a strong focus on piece level data (PLD) analysis to create customers profile and pricing decision support.
At DHL, our people are our greatest asset! Everyone's contribution drives us to be the world's #1 logistics company.
Certified as a Great Place to Work and as a Top Employer, we're dedicated to fostering a positive, collaborative, and supportive environment for all. Our commitment and engagement with Our People ensure we continuously build a workplace we're all proud of. Plus, with competitive compensation and exceptional perks, we make sure your personal life shines just as brightly as your career.
SUMMARY: The Manager Commercial Analytics is responsible for overseeing all commercial and customer data analytics, with a strong focus on piece level data (PLD) analysis to create customers profile and pricing decision support. This position will develop and manage end-to-end analytical reporting solutions while directly supporting a team of analysts and senior analysts. This role will monitor both standard and ad hoc analyses on various pricing, rate logic and methodological topics to support pricing decision making, including support of the annual general rate increase process, commercial IQ initiatives, and AI-driven analytical solution development.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
  • Build, maintain, and continuously improve PLD reporting solutions in Power BI, incorporating feedback and requirements from customers and the sales team; ensure all PLD analyses meet a one-day turnaround KPI
  • Support the annual general rate increase process along with the commercial and pricing management team to ensure the rate increase is seamless and error-free
  • Drive Commercial IQ initiatives and contribute to the development of AI-driven analytical solutions to monitor profitability and support pricing decisions
  • Analyze large volumes of commercial and customer data to generate actionable insights and recommendations for business stakeholders; to be completed within a short turnaround time and as necessary
  • Work cross-functionally with sales, pricing, and commercial teams to understand business needs and translate them into analytical solutions
  • Lead, train, and manage a team of analysts and senior analysts, providing guidance and ensuring the quality and accuracy of all analytical outputs
  • Identify and implement opportunities for automation and process improvement within commercial analytics and reporting
  • Provide customer-specific data analyses and ad hoc reporting as needed
  • Monitor all product and commercial Power BI reports to ensure minimal downtime and report logic alignment with business requirements remains
  • Perform other duties and special projects as assigned

EDUCATION AND/OR EXPERIENCE:
  • Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Computer Science, or a related quantitative field required; master's degree in Business Analytics,
  • Data Science, MBA with an analytical focus, or a related field preferred
  • 5 - 8 years of experience with significant experience in leading a team and working on analytics is required
  • Preferred Certifications:
  • Microsoft Power BI certification
  • Microsoft Azure certifications (e.g., Azure Data Engineer or Azure Data Scientist)
  • Databricks certifications
  • Six Sigma or process improvement certifications (given the cross-functional and process improvement responsibilities)

REQUIREMENTS/SKILLS:
  • High energy with solid analytical mindset
  • Strong ability to lead and manage a team
  • Strong ability to quickly become familiarized with new tasks and/or information
  • Expert knowledge in data mining, modeling and analysis using SQL (required), Microsoft Access (required), Excel (required), Power BI, Databricks among others
  • Proficient in Microsoft Azure Data Lake Storage (ADLS), Azure Databricks, Azure Data Factory, and Azure Synapse Analytics for data extraction, transformation, and analysis
  • Strong working knowledge of SQL, PySpark/Python, DAX, and Power Query for data processing and Power BI report development
  • Proficient in identifying and solving problems, and utilizing analytics and modeling techniques
  • Self-starter, able to work well under pressure, perform and manage multiple tasks simultaneously and meet deadlines
  • Ability to translate large data sets to key business messages
  • Excellent communication skills

PHYSICAL DEMANDS:
  • Physical demands are consistent with professional office setting
  • Regular sitting at workstation for 75-100% of the work shift

As a leading logistics company in one of the fastest growing industries, at DHL eCommerce, we offer our employees, and their dependents benefits and incentives to make them successful at work and home.
  • Competitive Pay
  • Bonus Programs
  • Retirement Savings - 401k with company match
  • Medical, Dental, Vision, Well-being programs
  • FSA/HSA availability
  • Tuition Reimbursement
  • Paid Time Off including vacation and sick time
  • Company Paid Holidays and Floating Holidays
  • Paid Parental Leave
  • Employee Discount Program
  • Employee Assistance & Work Life Program
  • Short Term and Long-Term Disability
  • Life Insurance

We are committed to equal opportunity and reject any forms of discrimination. The basis for employee selection at DHL Group is qualification, performance, skills and experience.
Equal Opportunity Employer - Veterans/Disability

What DHL employees say

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About DHL

Sourced by ZipRecruiter

When Adrian Dalsey, Larry Hillblom and Robert Lynn founded DHL in 1969, they didn’t know they would revolutionize the world of logistics. Today, DHL is the world’s leading logistics company. Our 600,000 people in over 220 countries and territories work every day to help you cross borders, reach new markets and grow your business. Or simply send a letter to your loved ones.

Industry

Transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

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