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Data Analytics Jobs in Jupiter, FL (NOW HIRING)

... data analytics, or financial analysis, OR โ€ข A Master's Degree in Business/Public Administration (MBA/MPA); minimum of one (1) year of experience in governmental or commercial accounting, auditing ...

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 ...

Showing results 21-40

Data Analytics information

See Jupiter, FL salary details

$23

$53

$92

How much do data analytics jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data analytics in Jupiter, FL is $53.53, according to ZipRecruiter salary data. Most workers in this role earn between $43.03 and $60.62 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 job categories do people searching Data Analytics jobs in Jupiter, FL look for?

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

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

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

Infographic showing various Data Analytics job openings in Jupiter, FL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $111,348 per year, or $53.5 per hour.

Programmer Analyst - Data Engineering

Kforce Technology Staffing

Juno Beach, FL โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Programmer Analyst - Data Engineering in Juno Beach, FL.
Key Responsibilities:
* Build automation for internal customers to eliminate manual repetitive tasks
* Extract and validate data from various systems using data interfaces and API
* Transform extracted data, associate data sets and load it efficiently into relational databases, ensuring data integrity and optimization
* Perform data analysis to support business operations, decision making, and strategic initiatives
* Collaborate closely with cross-functional teams, including IT, business units, and data engineering, to ensure seamless data flow and integration
* Conduct regular data quality assessments and implement necessary measures to maintain and improve data accuracy, consistency, and reliability
* Develop, document, and maintain automation and ETL processes, methodologies, and best practices
* Provide support and training to end-users and stakeholders on data extraction, reporting tools, and analytical methodologies
* Stay updated with advancements in AI, data analytics technologies, and industry best practices to continuously enhance data analysis capabilities
REQUIREMENTS:
* Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field
* Minimum of 3 years of experience in data engineering and/or using automation tools
* Strong modeling and development experience with multi-dimensional (OLAP) and relational (OLTP) databases
* Proven experience using Power Platform tools including PowerApps and Power Automate
* Strong proficiency in data ingestion tools including R script, Alteryx, SSIS, and Python
* Exposure to building visualization using Power BI and QA/testing of user interfaces
* Strong analytical and problem-solving skills, with excellent attention to detail
* Excellent communication skills, with the ability to collaborate effectively with team members and stakeholders.
* Self-motivated with the ability to work independently and manage multiple tasks in a fast-paced environment
* Familiarity with Agile methodologies is a plus
Preferred Skills:
* Experience with relational databases like PostgreSQL and multi-dimensional models built using SSAS, SAP BW, GEP smart, Redshift cluster, etc.
* Experience in the energy sector or utility industry
* Knowledge of data visualization tools like Tableau or Power BI
* Understanding of data governance and compliance standards
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

Kforce logo

About Kforce

Sourced by ZipRecruiter

Kforce is a professional staffing services firm that is located in Tampa, Florida, US. Operational since 1962, it specializes in flexible and direct hire staffing in Technology and Finance & Accounting, engaging over 23,000 highly skilled professionals annually with more than 4,000 customers. Kforce operates within various industry sectors such as healthcare, financial services, communications, and government. Their mission is to have a meaningful impact on all the lives they serve, with a focus on integrity, respect, and trust.

Industry

It services and finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Tampa, FL, US