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Python Analytics Jobs in Florida (NOW HIRING)

ADT

Sr. Manager, Digital Analytics

Boca Raton, FL · On-site

Build team capabilities in Python-based modeling, advanced analytics, and marketing intelligence systems. * Cross-Functional Collaboration * Partner with Digital Experience, Marketing, and ...

Pwc

GenAI Python Systems Engineer-Manager

Tampa, FL

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

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Python Analytics information

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

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

Is Python a high paying job?

Python analytics roles are generally well-paid due to the high demand for data analysis, machine learning, and automation skills. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech and finance sectors.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

What is the salary for Python data analytics?

The salary for Python data analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, machine learning, and tools like Pandas or NumPy tend to earn higher salaries.

What does a Python data analyst do?

A Python data analyst uses Python programming to collect, clean, analyze, and visualize data to support business decision-making. They often work with libraries like pandas, NumPy, and matplotlib, and may also perform statistical analysis or build data models. Strong problem-solving skills and knowledge of data management are essential for this role.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its simplicity, extensive libraries like pandas, NumPy, and scikit-learn, and strong community support. It enables analysts to perform data manipulation, visualization, and machine learning tasks efficiently, making it a valuable skill for data analytics jobs.
What are popular job titles related to Python Analytics jobs in Florida? For Python Analytics jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in Florida look for? The top searched job categories for Python Analytics jobs in Florida are:
Python Analytics jobs near you
Infographic showing various Python Analytics job openings in Florida as of July 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.
Sr. Manager, Digital Analytics

Sr. Manager, Digital Analytics

ADT

Boca Raton, FL • On-site

Full-time

Re-posted 25 days ago

ADT rating

7.0

Company rating: 7.0 out of 10

Based on 138 frontline employees who took The Breakroom Quiz

37th of 108 rated security

Job description


Summary:
ADT is seeking a Senior Manager, Digital Analytics to lead the evolution from reporting to actionable marketing intelligence that helps drive lead generation and customer acquisition. This role will drive the development of adaptive segmentation, diagnostic and causal analytics, and scalable decision systems that enable more effective experimentation and marketing strategy. The ideal candidate will oversee analytics engineering and performance platforms that translate behavioral data into high-impact, actionable insights. This position combines hands-on technical leadership with team development and cross-functional influence to embed data-driven decision-making across marketing.
Duties and Responsibilities:
  • Adaptive Segmentation & Behavioral Intelligence
    • Design and operationalize adaptive behavioral segmentation models to dynamically classify users by engagement, intent, and conversion propensity.
    • Develop scalable segmentation logic that informs targeting, experimentation, and journey optimization.
    • Ensure segmentation evolves continuously with behavioral signals rather than relying on static rules.
  • Diagnostic & Causal Analytics
    • Lead advanced analysis of user behavior and funnel performance to identify trends, bottlenecks, and key performance drivers.
    • Apply diagnostic and causal methodologies to quantify the impact of campaigns, content, and user interactions on lead generation outcomes.
    • Translate analytical findings into clear, prioritized recommendations for marketing and digital experience teams.
  • Analytics Engineering & Decision Systems
    • Drive the operationalization of analytical insights into scalable, reusable analytics products and decision systems.
    • Standardize and automate core analytical methodologies to enable consistency, speed, and repeatability.
    • Ensure solutions align with enterprise data architecture and governance standards.
  • Journey Intelligence & Path Optimization
    • Oversee path and journey analysis to identify friction points and conversion accelerators across the user experience.
    • Develop scoring frameworks (e.g., engagement, intent, visit value) to prioritize optimization opportunities.
    • Partner with experimentation teams to embed journey and behavioral intelligence into test design and execution.
  • Marketing Intelligence Systems & Performance Infrastructure
    • Guide the evolution of TDIS (Trading Desk Information System) into a scalable marketing intelligence platform.
    • Oversee integration of marketing data sources, APIs, and pipelines to ensure data accuracy, accessibility, and automation.
    • Support incorporation of performance signals (e.g., site performance, behavioral telemetry) into analytics frameworks.
  • Team Leadership & Capability Development
    • Lead, mentor, and develop a team of analytics and technical professionals, fostering strong analytical rigor and engineering discipline.
    • Establish standards for scalable analytics development, automation, and insight generation.
    • Build team capabilities in Python-based modeling, advanced analytics, and marketing intelligence systems.
  • Cross-Functional Collaboration
    • Partner with Digital Experience, Marketing, and Optimization teams to embed analytics into experimentation and acquisition strategies.
    • Collaborate with data engineering and IT partners to align on data architecture, integration, and governance.
    • Act as a bridge between business objectives and technical implementation, ensuring analytics solutions drive measurable impact.
  • Additional duties as assigned

Skills and Competencies:
  • Adaptive Segmentation Expertise: Ability to design and scale dynamic behavioral segmentation strategies.
  • Analytics Engineering Mindset: Strong capability to translate exploratory analysis into automated, reusable systems.
  • Diagnostic & Causal Thinking: Ability to identify performance drivers and quantify impact with rigor.
  • Leadership & Coaching: Proven ability to build and develop high-performing analytics teams.
  • Business Translation: Skilled in communicating insights to influence marketing strategy and investment decisions.
  • Systems Thinking: Understands how segmentation, experimentation, data infrastructure, and analytics interconnect.

Minimum Qualifications:
  • 7+ years of experience in digital analytics, analytics engineering, or data-driven marketing.
  • 2+ years of experience leading analytics or technical teams.
  • Bachelor's degree in Marketing Analytics, Business Analytics, Mathematics, or a related quantitative field.
  • Strong expertise in diagnostic and causal analytics methodologies.
  • Experience building scalable analytics solutions using Python and SQL.
  • Proficiency in digital analytics platforms (e.g., GA4, Adobe Analytics).
  • Experience designing segmentation, scoring, or behavioral models.
  • Proven ability to translate complex analysis into actionable business insights.

Preferred Qualifications:
  • Experience with cloud-based data environments (e.g., GCP, AWS).
  • Familiarity with experimentation platforms and statistical validation methods.
  • Experience with data integration, ETL processes, and API-based data ingestion.
  • Experience evolving reporting into scalable marketing intelligence systems.

Location
  • Our office follows 4 days onsite and 1-day remote schedule.

Relocation:
Relocation assistance will be provided for qualified candidates residing outside the South Florida region (including Southeast, Southwest and South-Central Florida).

What ADT employees say

Pay

Benefits

Hours and flexibility

Workplace

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About ADT

Sourced by ZipRecruiter

At ADT Commercial, we are in the business of helping people and organizations to protect what matters most to them. Building upon ADT's 145-year legacy, we secure the livelihoods and futures of critical commercial environments, retail location, educational campuses, healthcare facilities and financial institutions across the U.S. as an industry-leading security, fire and life safety systems integrator. We strive to have the most experienced and technically trained and talented teams in the industry, driven by excellence at every turn. At ADT Commercial, we truly believe that our people are the difference - for our organization, the customers we serve and the communities we protect. When you're a part of ADT Commercial, you'll have the opportunity to be a part of that difference every day. With more than 300 locations, a deep national presence, and comprehensive portfolio of solutions and services, our employees are always poised for career advancement and growth. For more information, visit www.adtcommercial.com or follow us on LinkedIn and Facebook.

Industry

Personal services

Company size

10,000+ Employees

Headquarters location

Boca Raton, FL, US

Year founded

1874

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