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Associate Data Analyst Jobs in Florida (NOW HIRING)

Industry/Sector Not Applicable Specialism Finance Management Level Associate & Summary The Opportunity Data, Analytics & AI - Associate, you will leverage data to drive insights and make informed ...

Industry/Sector Not Applicable Specialism Finance Management Level Associate & Summary The Opportunity Data, Analytics & AI - Associate, you will leverage data to drive insights and make informed ...

DATA SCIENTIST ASSOCIATE

Tampa, FL · On-site

$77K - $126K/yr

Data Scientist Associate University of Alabama at Birmingham The position leads the administration ... Provides support for the analysis, design, estimating, development, documentation, testing, and ...

Data Protection Associate

Tampa, FL · On-site

$53K - $54K/yr

Data Protection Operations Associate Are you ready to make an impact at DTCC? Do you want to work ... The Analyst must combine strong analytical judgment with clear communication skills to assess risk ...

Assoc Analyst, Ai

Boca Raton, FL · On-site

$54K - $81K/yr

As an entry-level professional working towards proficiency, this role utilizes professional education in data science or related technology fields to identify, analyze, and resolve technical ...

Extracts, analyze, massage, cleanse and update data from Oracle, Dun & Bradstreet, ZoomInfo, Salesforce.com and CSA web site analytics on a routine basis. Uses machine learning models to ...

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Associate Data Analyst information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do associate data analyst jobs pay per year?

As of Sep 14, 2026, the average yearly pay for associate data analyst in Florida is $61,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $72,500.00 per year, depending on experience, location, and employer.

What does an associate data analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What are some typical projects an associate data analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

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

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

What is the difference between Associate Data Analyst vs Data Analyst?

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

What is the role of an associate data analyst?

An associate data analyst collects, processes, and analyzes data to support business decision-making. They often use tools like Excel, SQL, and data visualization software, and typically work under supervision to generate reports and identify trends. Strong analytical skills and attention to detail are essential for this entry-level role.

What are the most commonly searched types of Data Analyst jobs in Florida?

The most popular types of Data Analyst jobs in Florida are:

What are popular job titles related to Associate Data Analyst jobs in Florida?

For Associate Data Analyst jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Associate Data Analyst jobs in Florida look for?

The top searched job categories for Associate Data Analyst jobs in Florida are:

What cities in Florida are hiring for Associate Data Analyst jobs?

Cities in Florida with the most Associate Data Analyst job openings:

Infographic showing various Associate Data Analyst job openings in Florida as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

Senior Analyst, Quality Data Analytics

Fort Lauderdale, FL • On-site

MasterBrand, Inc.
Construction Materials Wholesalers • 10K+ employees

Other

Posted 18 days ago


Key responsibilities

  • Support the Quality organization by analyzing quality performance data, warranty analysis, Returns & Allowances, and Cost of Poor Quality (COPQ).

  • Design, standardize, and maintain quality reporting systems, develop advanced analytics, and identify trends and root causes to inform business decisions.

  • Partner with leadership and cross-functional teams to define KPIs, develop data-driven roadmaps, and support continuous improvement initiatives.


MasterBrand Cabinets rating

6.7

Company rating: 6.7 out of 10

Based on 96 frontline employees who took The Breakroom Quiz


Job description

For more than 70 years, MasterBrand has been shaping the places where people come together, enriching lives and creating meaningful memories for our customers. We are the #1 manufacturer of residential cabinets in North America, and our associates produce the most comprehensive portfolio of superior cabinetry products for the kitchen, bath and other parts of the home. Come see why our associates love working at MasterBrand.Job Description:The Sr. Quality Data Analyst is a strategic business partner supporting the Quality organization and collaborating closely with Manufacturing, Logistics, Sourcing, Sales, Marketing, Finance, and Operations teams. This role serves as the enterprise subject matter expert for quality performance data, warranty analysis, Returns & Allowances, Cost of Poor Quality (COPQ), and other critical quality metrics.The Sr. Quality Data Analyst translates complex data into meaningful business insights that drive customer satisfaction, quality improvement, cost reduction, and operational excellence. This position is responsible for designing and standardizing quality reporting systems, developing advanced analytics, identifying trends and root causes, and partnering with leadership to drive data-driven decision making across the organization.The successful candidate combines strong analytical expertise, manufacturing quality knowledge, statistical analysis capabilities, and business acumen to support strategic initiatives and continuous improvement efforts throughout the enterprise.Responsibilities:Data Exploration & Insights: Conduct exploratory data analysis (EDA) to uncover trends, customer behaviors, operational inefficiencies, product warranty trends, and opportunities; translating findings into actionable business recommendations.Experimentation & A/B Testing: Design and analyze rigorous A/B tests to measure the impact of countermeasures. Identify corrective and preventive actions required to systemically solve business problems,Cross-Functional Collaboration: Partner with leadership, Operations and Quality teams to define key performance indicators (KPIs) and data-driven roadmaps.Model Development: Design, train, and evaluate predictive models, recommendation engines, and natural language processing (NLP) pipelines using large-scale datasets and AI technologies.KPI Workflow management: Work with the Business Intelligence group to develop and maintain KPI workflows and serve as Quality Data steward to maintain compliance to data policies and data definitions.Training: Provide training as needed for cross-department groups.Perform other duties as required or assigned.Key Competencies:Communication: Exceptional verbal and written communication skills, with the ability to distill complex technical concepts into clear actionable countermeasures for global quality and executive leadership.Problem-Solving: A proactive, curious mindset with a strong bias toward action and effective results.Collaboration: Demonstrated ability to function in a fast-paced, cross-functional, and agile global quality team and manufacturing environment.Qualifications:Bachelor's degree in a quantitative field (Statistics, Computer Science, Business Analytics, or Data Science), or equivalent practical experience required; Master's degree is a plus!2+ years of professional experience in data analytics, advanced quantitative analysis, preferably within a manufacturing-based company.Large Data Tools: Experience working with distributed data processing tools such as Snowflake, Qlik sense, SQL Server.Data Visualization: Proficiency in visualization, Excel, and BI tools like PowerBI and Tableau to communicate insights effectively.Statistical Modeling Tools: Experience in R, Minitab, SAS, Python preferred.Ability to travel up to 20% as business needs require.Equal Employment OpportunityMasterBrand Cabinets LLC is an equal opportunity employer. MasterBrand Cabinets LLC’s policy is not to discriminate against any applicant or employee based on race, color, religion, sex, gender identity or expression, national origin, ancestry, age, disability/handicap status, marital status, military status, sexual orientation, genetic history or information, or any other basis protected by federal, state or local laws. MasterBrand Cabinets LLC also prohibits harassment of applicants or employees based on any of these protected categories. It is also MasterBrand Cabinets LLC’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.Reasonable AccommodationsMasterBrand Cabinets LLC is committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and wish to discuss potential accommodations related to applying for employment, please contact us at staffing@masterbrand.com. #J-18808-Ljbffr

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