1

Data Analytics Jobs in Windermere, FL (NOW HIRING)

Data Analyst

Orlando, FL ยท On-site

$70 - $100/hr

Master's degree in Data Science, Business Analytics, or a related discipline. * Certifications: Certifications in data analysis software (such as SAS, R, Python), big data technologies, or business ...

Sr. Data Analyst

Orlando, FL ยท On-site

$80K - $101K/yr

Bachelor's degree is required in Business Analytics, Computer Information Systems, Industrial Engineering, Statistics, Mathematics, Economics, Data Science, or a related field * 1+ years of ...

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Showing results 21-40

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:

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.

Head of Data, ML & Analytics

Village Farms International

Lake Mary, FL โ€ข On-site

Full-time

Re-posted yesterday


Job description

Village Farms International (Nasdaq: VFF) is a vertically integrated global leader in cannabis and plant-based consumer packaged goods, and sustainable innovation. As one of North America’s longest-standing produce operators built on decades of expertise, we’re a company where growers, innovators, and creators come together to shape the future of high performing plant-based brands, globally.

Joining Village Farms means joining a global team built on purpose, integrity, and ambition. Here, we grow people, ideas and possibilities.


The Opportunity

The Head of Data, ML & Analytics is a newly created executive role accountable for building and leading the enterprise data platform, analytics strategy, and applied machine learning and AI initiatives that accelerate sustainable growth, operational efficiency, and stakeholder value. This leader will establish modern data architecture, governance, and business intelligence capabilities (with deep familiarity in Microsoft Fabric or Azure Synapse and Power BI) to unlock high‑quality insights across farming operations, supply chain, finance, sales, and sustainability. The role partners closely with Technology, Finance, Operations, and Commercial leaders, and reports to the CITO.


What You'll Do

Enterprise Data Strategy & Architecture

  • Define and own the enterprise data strategy, reference architecture, and roadmap, aligning with the company’s technology strategy and sustainability goals.
  • Stand up and evolve the enterprise data platform (Microsoft Fabric or Azure Synapse), integrating core systems and external data sources while enforcing scalable, secure patterns.
  • Drive data modeling, master/metadata management, data quality, lineage, and observability across the data lifecycle.

Analytics & Business Intelligence

  • Institutionalize enterprise reporting and self‑service analytics; standardize executive and functional dashboards in Power BI as the enterprise reporting platform.
  • Partner with business teams to translate questions into analytic products (KPIs, forecasts, optimization models) and deliver them reliably and repeatably.

Applied Machine Learning & Advanced Analytics

  • Build a pragmatic ML portfolio aligned with AI initiatives and focused on measurable outcomes (yield optimization, demand forecasting, inventory/supply planning, pricing, sustainability metrics).
  • Establish model governance and MLOps practices; ensure responsible AI/ML aligned to regulatory, privacy, and cybersecurity standards.

Data Governance, Risk & Compliance

  • Chair/enable the enterprise data governance function (policies, standards, stewardship) to ensure integrity, security, and approved publication of reports/data assets across the organization, consistent with enterprise policy.
  • Collaborate with Security, Audit, and Compliance to meet legal, ESG, and market disclosure obligations.

Platform Engineering & Integration

  • Oversee data platform engineering, pipelines, and integrations; ensure performance, reliability, and cost efficiency across cloud resources.
  • Set and enforce development standards, CI/CD, and test automation for data products.

Leadership, Partnership & Change Management

  • Recruit, develop, and retain a high‑performing team (data engineering, analytics, AI/ML, data governance).
  • Create strong partnerships with Technology (including the CITO’s office), Operations, Finance, and Commercial leaders to prioritize investments and deliver outcomes.
  • Lead change management and data literacy programs to scale adoption of analytics and AI.

Financial & Vendor Management

  • Own the data/analytics budget; optimize cloud and licensing costs (e.g., Microsoft Fabric/Power Platform, Power BI) and manage vendor relationships.


What You Bring


Education:

  • 12+ years in data/analytics leadership with 5+ years building enterprise data platforms and BI at scale.
  • Proven experience with Microsoft Fabric (or Azure Synapse) and Power BI; hands‑on familiarity with data lakehouse patterns, pipelines, and semantic modeling.
  • Demonstrated success establishing enterprise data governance, stewardship, and quality frameworks aligned to business needs.
  • Track record of delivering applied AI/ML solutions with clear business impact and strong model governance.
  • Executive presence; ability to influence senior stakeholders and lead cross‑functional initiatives.

Preferred

  • Industry experience in agriculture, CPG, food systems, or sustainability‑centric businesses.
  • Familiarity with Microsoft Power Platform (Power Automate/Apps) to extend analytics into workflow and decision support.
  • Exposure to ESG reporting, sustainability analytics, and operational excellence in asset‑intensive environments.

Success Metrics (12–18 Months)

  • Platform: Enterprise data platform (Fabric/Synapse) live with priority domains integrated; performance and cost KPIs met.
  • Governance: Data governance operating model, policies, and stewardship roles implemented; quality and approval workflows enforced per enterprise policy.
  • Insights: Executive and functional Power BI dashboards adopted company‑wide; measurable improvements in decision cycle times and forecast accuracy.
  • AI Impact: Portfolio of AI/ML use cases in production with quantified ROI (e.g., yield, waste reduction, inventory turns).
  • Engagement: Improved data literacy and self‑service adoption; positive feedback from business stakeholders.

Work Environment & Travel

  • Based in Orlando, FL with periodic travel to farm/greenhouse, distribution, and corporate locations as needed.
  • Work mode (on‑site/hybrid/remote) aligned to company policy and business requirements.

Compensation & Benefits

  • Competitive base salary, annual bonus, and long‑term incentives commensurate with executive responsibilities; comprehensive benefits; potential relocation assistance.

EEO Statement

We are an equal opportunity employer and value diversity. All employment decisions are based on merit, competence, and business need.


Life at Village Farms

We believe It Takes A Village ® and we mean it.

It shows up in how we support each other, how we innovate, and how we win as a team.

Our values guide every decision we make:

Versatility | Innovation | Leadership | Loyalty | Accountability | Grit | Entrepreneurship

What you do here matters - to our people, our products, and the customers we serve.

We’ve got you covered with company-paid comprehensive benefits and education assistance to support your growth.

Ready to Grow With Us?

If you want to be part of something that has real impact - we’d love to meet you.