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Data And Analytics Jobs in Stuart, FL (NOW HIRING)

Data Analysis Tutor

Fort Pierce, FL ยท Remote

$18 - $40/hr

... analytics positions, and data-driven decision-making responsibilities. * Conceptual Teaching & Problem-Solving: Skilled at teaching data manipulation, visualization creation, and insight extraction ...

Lead Data Scientist

Stuart, FL ยท On-site

$144K - $198K/yr

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales, Inventory, Operations Planning) transformation and delivery business impact on inventory and customer ...

Financial Analyst

Jupiter, FL ยท On-site

$65K - $85K/yr

This role supports data-driven decision-making by developing reporting tools, dashboards, and analytics that provide visibility into key performance indicators. The Financial Analyst partners with ...

Utilize and expand AWS Cloud infrastructure to enhance data analytics and monitoring capabilities (AWS full stack development, EC2, S3, Lambda, Amplify) * Utilize AI models for knowledge base agent ...

Data Science Tutor

Fort Pierce, FL ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Manager, Digital Tax

Palm Beach Gardens, FL ยท On-site

$96K - $192K/yr

The role also supports targeted implementation/configuration work, process improvements and data analytics initiatives for the Tax Department, including building governed Copilot and AI-enabled ...

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Data And Analytics information

See Stuart, FL salary details

$21

$48

$83

How much do data and analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data and analytics in Stuart, FL is $48.33, according to ZipRecruiter salary data. Most workers in this role earn between $38.85 and $54.76 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in data and analytics roles, and how can they be addressed?

Professionals in Data and Analytics often face challenges such as managing large volumes of complex data, ensuring data quality, and translating technical findings into actionable business insights. These challenges can be addressed by developing strong data management practices, using robust data cleaning and validation tools, and improving communication skills to present analytics results to non-technical stakeholders. Collaborating closely with cross-functional teams and staying updated on the latest analytics technologies also help in overcoming these hurdles and delivering impactful results.

What is the difference between Data And Analytics vs Data Analyst?

AspectData And AnalyticsData Analyst
CredentialsOften requires degrees in data science, statistics, or related fields; certifications like CAP, Microsoft Certified Data AnalystTypically requires a bachelor's degree in data-related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentWorks with large datasets, data warehouses, and analytics tools across departmentsFocuses on data cleaning, visualization, and reporting for specific projects
Industry UsageUsed across industries for strategic insights and decision-makingCommonly employed in business, finance, healthcare for operational analysis

While Data And Analytics professionals develop comprehensive data strategies and work with complex tools, Data Analysts focus on interpreting data, creating reports, and providing actionable insights. Both roles are essential but differ in scope and depth of data handling.

Is data and analytics a good career?

Data and analytics is a growing field with strong demand for professionals skilled in data analysis, statistical methods, and tools like SQL, Python, and Tableau. It offers opportunities across industries, competitive salaries, and potential for career advancement, making it a viable and rewarding career choice.

What jobs are there in data and analytics?

Jobs in data and analytics include roles such as Data Analyst, Data Scientist, Business Intelligence Analyst, Data Engineer, and Analytics Manager. These positions typically require skills in statistical analysis, programming languages like Python or R, and familiarity with data visualization tools such as Tableau or Power BI.

What does a data and analytics job do?

A data and analytics job involves collecting, processing, and analyzing data to help organizations make informed decisions. Professionals in this field use tools like SQL, Python, or Tableau to interpret data trends, create reports, and support strategic planning.

What is data and analytics?

Data and analytics refers to the process of collecting, processing, and analyzing large sets of data to extract valuable insights that inform business decisions. This field encompasses techniques such as data mining, statistical analysis, and the use of specialized software tools to interpret trends and patterns. Professionals in data and analytics help organizations make evidence-based choices, improve efficiency, and gain a competitive edge. Their work can impact various areas, including marketing, finance, operations, and more.

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

To thrive in Data and Analytics, you need a strong background in statistics, data modeling, and analytical reasoning, often supported by a relevant degree in mathematics, computer science, or a related field. Experience with tools and platforms such as SQL, Python, R, Tableau, and data warehousing systems is typically required, and certifications like Certified Analytics Professional (CAP) or Google Data Analytics can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals translate complex data into actionable insights for stakeholders. These skills are crucial for driving data-driven decision-making and delivering measurable business value.
What cities near Stuart, FL are hiring for Data And Analytics jobs? Cities near Stuart, FL with the most Data And Analytics job openings:
Infographic showing various Data And Analytics job openings in Stuart, FL as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $100,516 per year, or $48.3 per hour.

Data Platform & Analytics Manager

RED RHINO

Palm Beach Gardens, FL โ€ข Remote

$130K - $180K/yr

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Join the RED RHINO Team! 

Here at RED RHINO, we are looking for a data-driven leader to own our analytics strategy, platform, and team. You\'ll work with a modern Microsoft stack, partner with leaders across the business, and turn data into one of our sharpest competitive advantages. If you geek out over clean data models, love building high-performing teams, and want a high-visibility role where your work shapes how an entire organization makes decisions, we want to hear from you!

Pay and Perks: 
  • Compensation: $130k- $180k salary.
  • Standard full-time employee benefits package.
About the Role:
  • HQ or remote position.
  • Define and execute RED RHINO\'s multi-year data and analytics strategy, including roadmaps for data engineering, governance, semantic modeling, master data management, and self-service analytics aligned with company and AI priorities.
  • Oversee the architecture, reliability, and scalability of the enterprise data platform across Microsoft Fabric, Azure Synapse, Azure Data Factory, Azure SQL, and Power BI, including ingestion, transformation, and delivery standards.
  • Lead integration of operational systems including field service, finance, HR, and customer platforms into a centralized data environment while maintaining security, compliance, and disaster recovery standards.
  • Drive enterprise-grade Power BI delivery, including semantic models, dashboards, certified datasets, and a trusted catalog of KPIs, transitioning the organization toward scalable self-service analytics.
  • Lead, coach, and grow the BI and Analytics team while partnering with department leaders, the CTO, and business stakeholders to translate challenges into analytics solutions and align data initiatives with organizational priorities.
  • Champion enterprise data governance practices including data quality, lineage, stewardship, and accessibility, and ensure data assets are structured to support AI and automation initiatives such as Microsoft Copilot.
  • Architect and deliver scalable data integration pipelines that unify structured sources (operational systems, transactional databases, SaaS platforms) and unstructured sources (documents, communications, media, third-party feeds) into a cohesive enterprise data foundation supporting analytics and AI applications across all business units.
  • Design and implement robust API integrations and connector frameworks (REST, GraphQL, webhooks, event-driven) with hands-on expertise in modern integration patterns, ETL/ELT tooling, and middleware; building reliable, observable integrations that scale across a growing portfolio of source systems.
What We\'re Looking For:
  • 10+ years of progressive data, analytics, or BI experience, including 3-5 years in a leadership role managing teams and owning enterprise data platforms, with a demonstrated track record in a mid-market or larger operating company.
  • Deep hands-on expertise with the Microsoft data and analytics stack including Microsoft Fabric, Azure Synapse, Azure Data Factory, Azure SQL, and Power BI.
  • Strong knowledge of modern data architecture, dimensional modeling, star/snowflake schemas, and semantic modeling for BI, with advanced SQL skills and the technical depth to credibly lead an engineering team.
  • Demonstrated experience establishing data governance practices including data quality, lineage, and access management.
  • Exceptional leadership and communication skills with the ability to translate business needs into technical solutions and influence at all levels of the organization, paired with strong prioritization and risk management in complex, fast-moving environments.
  • Experience supporting AI initiatives such as preparing data for Microsoft 365 Copilot, Copilot Studio agents, or similar capabilities is strongly preferred; background in home services, field service, or operationally complex industries is a plus.

Drug screening and criminal background checks will be performed on all new hires. RED RHINO is a Drug-Free Workplace and Equal Opportunity Employer.