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Performance Improvement Data Analyst Jobs in Florida

Happy Agencies

Data Analyst

Miami, FL

Review computer reports, printouts, and performance indicators to locate and correct code problems ... Discover and define new process improvement opportunities. * Communicate data-driven ...

Margaritaville at Sea

Data Analyst

Orlando, FL · On-site

$70 - $110/hr

... to monitor performance metrics and enable transparency and continuous improvement in data ... Qualifications * 3-5 years of experience in data analysis, data governance, or data stewardship.

Margaritaville at Sea

Data Analyst

Orlando, FL · On-site

Designs visual tools to monitor performance metrics, enabling transparency and continuous improvement in data governance efforts. Qualifications: * 3-5 years of experience in data analysis, data ...

SmartIPlace

ENTERPRISE DATA ANALYST

Juno Beach, FL · On-site

$50 - $55/hr

Champion Process Improvement: Communicate, recommend, and help implement business process ... Write and optimize SQL queries, utilizing basic understanding of performance techniques. * Document ...

CAI

Financial Data Analyst

Miramar, FL · Hybrid

... performance, resource allocation, risk mitigation, and strategic alignment ... The analyst will assist in identifying trends and areas for process improvement, while ...

Central Florida Health Care

Data Analyst

Winter Haven, FL · On-site

$65 - $95/hr

Data Analyst Reports to: Director of Information Technology FLSA Status: Exempt Personnel ... Troubleshoot and improve performance of data warehouse applications. * Acquire data from primary or ...

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Performance Improvement Data Analyst information

What is a performance improvement data analyst?

A Performance Improvement Data Analyst is a professional who collects, analyzes, and interprets data to identify areas where an organization can enhance its efficiency, quality, and overall performance. They work with various teams to develop strategies based on data-driven insights, often focusing on process optimization and cost reduction. Their role may include creating reports, visualizing data trends, and supporting decision-making by providing actionable recommendations. These analysts are commonly found in healthcare, business, and manufacturing settings, among others.

What are the key skills and qualifications needed to thrive as a performance improvement data analyst?

A Performance Improvement Data Analyst should possess strong analytical skills, expertise in data interpretation, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with data visualization tools (such as Tableau or Power BI), statistical analysis software (like SAS or R), and quality improvement methodologies (such as Lean or Six Sigma certification) is typically required. Exceptional attention to detail, problem-solving abilities, and effective communication are crucial soft skills for translating data insights into actionable recommendations. These competencies are essential for identifying trends, driving process improvements, and supporting organizational decision-making.

How does a performance improvement data analyst typically collaborate with cross-functional teams to drive organizational change?

Performance Improvement Data Analysts often work closely with departments such as operations, quality assurance, and management to identify performance gaps and recommend actionable solutions. They facilitate meetings to present data findings, translate analytics into practical strategies, and support teams during the implementation of process improvements. This role requires effective communication and the ability to build consensus among stakeholders, as well as ongoing follow-up to measure the impact of changes and ensure continuous improvement.

What is the difference between Performance Improvement Data Analyst vs Business Analyst?

AspectPerformance Improvement Data AnalystBusiness Analyst
Required CredentialsBachelor's in Data Analytics, Statistics, or related field; certifications like CAP or CBAPBachelor's in Business, Management, or related field; certifications like CBAP or PMI-PBA
Work EnvironmentData-driven teams, healthcare, manufacturing, or corporate settingsBusiness units, project teams, corporate offices across industries
Employer & Industry UsageHealthcare, manufacturing, finance, and consulting firms focusing on process improvementsVarious industries including finance, IT, healthcare, focusing on business process analysis

The Performance Improvement Data Analyst primarily focuses on analyzing data to identify process inefficiencies and recommend improvements, often within healthcare or manufacturing sectors. In contrast, a Business Analyst evaluates business needs, documents requirements, and supports project implementation across diverse industries. While both roles require analytical skills and certifications, their core responsibilities and work environments differ, with the Data Analyst emphasizing data analysis and the Business Analyst focusing on business processes and solutions.

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

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

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

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

What cities in Florida are hiring for Performance Improvement Data Analyst jobs?

Cities in Florida with the most Performance Improvement Data Analyst job openings:

Performance Improvement Data Analyst jobs near you
Infographic showing various Performance Improvement Data Analyst job openings in Florida as of June 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Analyst

Happy Agencies

Miami, FL

Full-time

Re-posted 23 days ago

Job description

We are seeking to expand our team with a strategic, detail-oriented, and highly analytical Data Analyst across various seniority levels. The successful candidate will be instrumental in transforming complex data sets into meaningful insights, driving strategic decisions and enhancing operations. We welcome applications from candidates of diverse professional backgrounds - whether you're just starting your career or an experienced professional.

Key Responsibilities:

  • Develop, implement, and manage advanced database systems, data analytics, and other strategies to optimize statistical efficiency and data integrity.
  • Acquire data from primary and secondary sources while effectively maintaining databases and data systems.
  • Identify, analyze, and interpret trends or patterns within complex data sets, providing actionable insights.
  • Create data collection systems and other strategies that enhance statistical efficiency and data quality.
  • Review computer reports, printouts, and performance indicators to locate and correct code problems.
  • Collaborate closely with management to prioritize business and information needs.
  • Discover and define new process improvement opportunities.
  • Communicate data-driven recommendations to the broader organization in a clear, compelling manner.

Preferred Qualifications:

  • A Bachelor's degree in Mathematics, Economics, Computer Science, Information Management, or Statistics. A Masters degree is preferred but not mandatory.
  • Proven experience as a Data Analyst or Business Data Analyst.
  • Expertise in data models, database design development, data mining, and segmentation techniques.
  • Proficiency with reporting packages, databases, programming languages (e.g., XML, Javascript, or ETL frameworks).
  • Familiarity with statistical packages for analyzing large datasets (e.g., Excel, SPSS, SAS).
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Proficiency in queries, report writing, and presenting findings.
  • Ability to work independently and as part of a team.
  • Excellent communication, presentation, and leadership skills.

Senior Level Candidates - Extra Considerations:

  • Minimum of 5 years of experience in a data analyst role or similar.
  • Proven abilities in mentorship and team leadership.
  • In-depth understanding of machine learning techniques and algorithms.
  • Prior experience with data visualization tools, such as Tableau.

We are an equal opportunity employer. We celebrate diversity and strive to create an inclusive environment for all our employees.

Interested candidates are invited to apply with a cover letter and resume detailing their experience, skills, and reasons for their interest in this role. Please note that while we appreciate all applications, only those selected for an interview will be contacted.

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