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Data Analyst Jobs in Jupiter, FL (NOW HIRING)

Mindlance

Data Analyst

Palm Beach, FL · On-site

Data Analyst Location: Palm Beach Garden, FL Advance your career with Mindlance! We have been connecting talented IT professionals with world-class companies since 1999. Mindlance is here to help you ...

SmartIPlace

ENTERPRISE DATA ANALYST

Juno Beach, FL · On-site

$50 - $55/hr

Must have a FLORIDA ADDRESS Enterprise Data Analyst The Enterprise Data Analyst (DA) is a key technical liaison between the Enterprise Data Platform (EDP) and various NEE business units. This role ...

Access Labs LLC

Senior Data Analyst

North Palm Beach, FL · On-site

$86K - $108K/yr

We are seeking a highly skilled and business-oriented Senior Data Analyst to support strategic decision-making through advanced analytics, data visualization, and business intelligence solutions.

Abacus Service Corporation

Sr. Data Analyst

Juno Beach, FL · On-site

$84K - $106K/yr

Local candidates to FL are preferred because 2nd round will be in person interview Seeking a Senior Data Analyst / Data Engineer to design, develop, and maintain enterprise data solutions, including ...

Access Medical Labs

Senior Data Analyst

North Palm Beach, FL · On-site

$86K - $108K/yr

We are seeking a highly skilled and business-oriented Senior Data Analyst to support strategic decision-making through advanced analytics, data visualization, and business intelligence solutions.

Apex Systems

Sr. Data Analyst

Juno Beach, FL · On-site

$84K - $106K/yr

Job#: 3047314 Sr. Data Analyst Location: Juno Beach, Florida Role Overview We are seeking a Senior Data Analyst / Data Engineer to design, develop, and maintain enterprise data solutions. This role ...

NextEra Energy

Principal Data Analyst

Juno Beach, FL · On-site

Position Specific Description The Principal Data Analyst is responsible for ensuring data quality, integrity, and compliance throughout NextEra Energy's ETRM transformation project and ongoing ...

NextEra Energy

Principal Data Analyst

Juno Beach, FL · On-site

Position Specific Description The Principal Data Analyst is responsible for ensuring data quality, integrity, and compliance throughout NextEra Energy's ETRM transformation project and ongoing ...

Teksoft Systems Inc

Data Scientist

Palm Beach, FL · On-site

Palm Beach , FL (Day One Onsite to Client Location) Experence : 8 + Years Hhands-on experience in data cleaning, transformation, and analysis using Python. The ideal candidate is comfortable working ...

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All JobsData Analyst JobsData Analyst Jobs in Jupiter, FL

Data Analyst information

See Jupiter, FL salary details

$33.2K

$80.8K

$133K

How much do data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data analyst in Jupiter, FL is $80,808.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $94,800.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs

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The most popular types of Data Analyst jobs in Jupiter, FL are:

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For Data Analyst jobs in Jupiter, FL, the most frequently searched job titles are:

What job categories do people searching Data Analyst jobs in Jupiter, FL look for?

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

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

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

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Jupiter, FL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $80,808 per year, or $38.9 per hour.

Data Analyst

Maschmeyer Concrete Company of Florida

Lake Park, FL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago

Job description

About the Role

We are looking for a sharp, curious, and driven Analyst to join our team. In this role, you will sit at the intersection of data, finance, and business strategy - turning complex information into clear insights that drive decision-making across the organization. Whether your background leans quantitative, financial, or operational, we want someone who is energized by solving problems and communicating findings with impact.

What You'll Do

  • Collect, clean, and analyze large datasets from multiple sources to surface trends, anomalies, and opportunities
  • Build and maintain dashboards, reports, and visualizations that give stakeholders real-time visibility into key metrics
  • Support financial planning, forecasting, and budgeting cycles with accurate, well-documented models
  • Partner with business units to understand goals, translate them into analytical frameworks, and deliver actionable recommendations
  • Evaluate business performance against targets and help identify levers for improvement
  • Present findings clearly to both technical and non-technical audiences, including leadership
  • Identify process inefficiencies and propose data-driven solutions
  • Contribute to ad hoc analyses and special projects as business needs evolve

What We're Looking For

Required

  • Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, or a related field
  • 2-5 years of experience in a data, finance, or business analysis role
  • Proficiency in SQL for querying and manipulating data
  • Strong command of Excel and/or Google Sheets, including pivot tables, complex formulas, and financial modeling
  • Experience with at least one BI or visualization tool (Tableau, Power BI, Looker, or similar)
  • Solid analytical thinking with the ability to break down ambiguous problems
  • Excellent written and verbal communication skills - you can tell a clear story with data

Preferred

  • Experience with Python or R for data analysis and automation
  • Familiarity with financial statements (P&L, balance sheet, cash flow)
  • Background in statistical modeling, forecasting, or A/B testing
  • Experience in a fast-paced, high-growth, or cross-functional environment
  • Exposure to dbt, Snowflake, Redshift, or similar modern data stack tools

What We Offer

  • Competitive salary commensurate with experience
  • Comprehensive health, dental, and vision benefits
  • Flexible work arrangements and generous PTO
  • 401(k) with employer match
  • A collaborative, intellectually curious team that values your contributions
  • Professional development budget and support for continued learning

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