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Data Analyst Jobs in Jupiter, FL (NOW HIRING)

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 ...

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 ...

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 Jul 29, 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 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.

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.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

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 Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

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.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Jupiter, FL? The most popular types of Data Analyst jobs in Jupiter, FL are:
What are popular job titles related to Data Analyst jobs in Jupiter, FL? 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 July 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 76% In-person, 8% Hybrid, and 16% 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

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 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

Apply