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Data Analytics Jobs in Windermere, FL (NOW HIRING)

Techvilla Solutions

Data Scientist

Maitland, FL · On-site

Analyze large and complex datasets to identify trends, patterns, opportunities, and actionable ... Translate data and quantitative analysis into actionable recommendations for Business Development ...

Techvilla Solutions

Data Scientist

Orlando, FL · On-site

Analyze large and complex datasets to identify trends, patterns, opportunities, and actionable ... Translate data and quantitative analysis into actionable recommendations for Business Development ...

Techvilla Solutions

Data Scientist

Sorrento, FL · On-site

Analyze large and complex datasets to identify trends, patterns, opportunities, and actionable ... Translate data and quantitative analysis into actionable recommendations for Business Development ...

Techvilla Solutions

Data Scientist

Winter Springs, FL · On-site

Analyze large and complex datasets to identify trends, patterns, opportunities, and actionable ... Translate data and quantitative analysis into actionable recommendations for Business Development ...

Techvilla Solutions

Data Scientist

Windermere, FL · On-site

Analyze large and complex datasets to identify trends, patterns, opportunities, and actionable ... Translate data and quantitative analysis into actionable recommendations for Business Development ...

Techvilla Solutions

Data Scientist

Apopka, FL · On-site

Analyze large and complex datasets to identify trends, patterns, opportunities, and actionable ... Translate data and quantitative analysis into actionable recommendations for Business Development ...

Techvilla Solutions

Data Scientist

Pine Hills, FL · On-site

Analyze large and complex datasets to identify trends, patterns, opportunities, and actionable ... Translate data and quantitative analysis into actionable recommendations for Business Development ...

Techvilla Solutions

Data Scientist

Lake Mary, FL · On-site

Analyze large and complex datasets to identify trends, patterns, opportunities, and actionable ... Translate data and quantitative analysis into actionable recommendations for Business Development ...

AllSTEM Connections

Data Analyst

Orlando, FL · On-site

$120K/yr

We are seeking a detail-oriented and analytical Data Analyst to join our team in Orlando. You will be responsible for managing the full data lifecycle-from design and collection to analysis and ...

Margaritaville at Sea

Data Analyst

Orlando, FL · On-site

$70 - $110/hr

Profile data and conduct quality assessments across critical systems, analyzing datasets to identify anomalies, inconsistencies, and patterns, ensuring data integrity and readiness for business use.

Margaritaville at Sea

Data Analyst

Orlando, FL

The Data Analyst is responsible for ensuring enterprise data is accurate, consistent, and trusted for decision-making. This role combines analytical expertise with data governance practices to ...

MHI

Data Science Internship (Governance)

Lake Mary, FL · On-site

Role Overview We are seeking a motivated and analytical Data Science Associate to support Compliance, Legal, Assurance, and Governance functions by embedding data analytics into compliance, risk, and ...

VOLT

Data Analyst - Lake Mary, FL

Lake Mary, FL · On-site

$45 - $48/hr

Bachelor's degree in Computer Science, Engineering, Data Analytics, Information Systems, Finance, or a related field. * Strong technical, analytical, and problem-solving skill * Familiarity with ...

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All JobsData Analytics JobsData Analytics Jobs in Windermere, FL

Data Analytics information

See Windermere, FL salary details

$21

$48

$84

How much do data analytics jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data analytics in Windermere, FL is $48.72, according to ZipRecruiter salary data. Most workers in this role earn between $39.13 and $55.19 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Windermere, FL?

The most popular types of Data Analytics jobs in Windermere, FL are:

What are popular job titles related to Data Analytics jobs in Windermere, FL?

For Data Analytics jobs in Windermere, FL, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Windermere, FL look for?

The top searched job categories for Data Analytics jobs in Windermere, FL are:

What cities near Windermere, FL are hiring for Data Analytics jobs?

Cities near Windermere, FL with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Windermere, FL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $101,342 per year, or $48.7 per hour.

Data Scientist

Techvilla Solutions

Maitland, FL • On-site

Full-time

Posted 8 days ago

Job description

Key Responsibilities
  • Develop and implement statistical models, predictive analytics solutions, and machine learning models to address complex business problems.
  • Analyze large and complex datasets to identify trends, patterns, opportunities, and actionable insights.
  • Apply advanced statistical techniques, including regression analysis, decision trees, predictive modeling, and machine learning.
  • Translate data and quantitative analysis into actionable recommendations for Business Development, Marketing, and senior leadership.
  • Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI.
  • Develop dashboards, reports, and data visualizations to communicate analytical findings.
  • Partner with cross-functional stakeholders to define project objectives, deliverables, and analytical approaches.
  • Manage project deliverables and timelines, proactively communicate status, and escalate risks or issues as needed.
  • Ensure data quality, accuracy, and consistency throughout the analysis and modeling lifecycle.
  • Clearly communicate complex statistical models, analytical results, and business implications to both technical and non-technical audiences.
  • Stay current with emerging technologies, including Artificial Intelligence (AI), machine learning, and advanced analytics, and evaluate their relevance to business needs.
Required Qualifications
  • Master’s degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field.
  • 7+ years of experience in Data Science, Data Analytics, Statistics, Predictive Analytics, or a related quantitative field.
  • Proven experience working with large datasets in enterprise-level environments.
  • Strong expertise in statistical modeling and predictive analytics.
  • Strong programming experience with Python.
  • Strong SQL skills for data extraction, transformation, and analysis.
  • Experience developing and deploying Machine Learning models.
  • Experience with Power BI for data visualization and reporting.
  • Experience working with Snowflake or similar cloud data platforms.
  • Strong analytical, problem-solving, and strategic thinking skills.
  • Excellent written and verbal communication skills, with the ability to explain complex quantitative concepts to business and executive audiences.
  • Strong attention to detail with a focus on data quality, accuracy, and reliable results.
Preferred Qualifications
  • Experience in the healthcare industry.
  • Experience working with healthcare claims data.
  • Experience with R and other statistical programming tools.
  • Experience with enterprise-scale data platforms and analytics environments.
  • Knowledge of emerging AI and advanced machine learning technologies.
  • Proficiency with Microsoft Office, including Excel, Word, PowerPoint, and Access.

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