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Data Analyst Jobs in Boca Raton, FL (NOW HIRING)

AJAIA

Data & Research Analyst

Fort Lauderdale, FL · On-site

As the Data & Research Analyst , you'll build and deliver the research behind those decisions. You'll design studies, analyze quantitative data, measure product efficacy and return on investment (ROI ...

AJAIA

Data & Research Analyst

Fort Lauderdale, FL · On-site

As the Data & Research Analyst , you'll build and deliver the research behind those decisions. You'll design studies, analyze quantitative data, measure product efficacy and return on investment (ROI ...

Transunion

Senior Data Operations Analyst

Boca Raton, FL · On-site

$81K - $103K/yr

The Senior Data Operations Analyst role is a wonderful opportunity to work in a fast-paced work environment * Onboarding, managing, analyzing, and validating the quality of data across multiple ...

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All JobsData Analyst JobsData Analyst Jobs in Boca Raton, FL

Data Analyst information

See Boca Raton, FL salary details

$32.2K

$78.2K

$128.7K

How much do data analyst jobs pay per year?

As of Jul 23, 2026, the average yearly pay for data analyst in Boca Raton, FL is $78,187.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $91,800.00 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 Boca Raton, FL? The most popular types of Data Analyst jobs in Boca Raton, FL are:
What are popular job titles related to Data Analyst jobs in Boca Raton, FL? For Data Analyst jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Data Analyst jobs in Boca Raton, FL look for? The top searched job categories for Data Analyst jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Data Analyst jobs? Cities near Boca Raton, FL with the most Data Analyst job openings:
Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Boca Raton, FL as of July 2026, with employment types broken down into 67% Full Time, 9% Part Time, and 24% Contract. Highlights an 60% Physical, 5% Hybrid, and 35% Remote job distribution, with an average salary of $78,187 per year, or $37.6 per hour.
Senior Data Analyst, Energy Preconstruction

Senior Data Analyst, Energy Preconstruction

Moss

Fort Lauderdale, FL

$82K - $103K/yr

Full-time

Posted yesterday

Job description

COMPANY OVERVIEW

Moss is a national, privately held construction firm providing innovative solutions resulting in award-winning projects. With regional offices across the United States, Moss focuses on construction management, energy EPC, and design-build. The company's diverse portfolio encompasses a wide range of sectors, including luxury high-rise residential, landmark mixed-use developments, hospitality, K-12 and higher education, justice, solar energy and battery storage, and sports. Moss is ranked by Engineering News-Record as the nation's top solar contractor and one of the top 50 general contractors. Moss prides itself on a strong entrepreneurial culture that honors safety, quality, client engagement, and employee development. Its employees consistently rank Moss as one of the best places to work.

POSITION SCOPE AND ORGANIZATIONAL IMPACT

Moss' Senior Data Analyst plays a critical role in transforming fragmented data across projects, engineering, cost, productivity, procurement, and performance into structured, actionable insights that enhance estimating accuracy, mitigate risk, and drive profitability within the Energy Preconstruction team. This role will lead to the development of a reliable historical dataset that supports benchmarking, conceptual pricing, forecasting, and strategic decision-making.

Working with limited oversight, this individual will partner across preconstruction, procurement, finance, engineering, and IT to help create a single source of truth for preconstruction data. Through data cleansing, multi-system querying, dashboard development, and business analysis, this role will strengthen bid strategy, improve estimate confidence, identify cost and risk patterns, and support the long-term growth of a dedicated data function within Energy Preconstruction.

ESSENTIAL JOB DUTIES AND RESPONSIBILITIES

  • Cleanse, normalize, validate, and consolidate historical data on estimating, engineering, cost, productivity, procurement, project parameters, and project performance from spreadsheets, takeoff files, ERP/CRM systems, and other legacy sources.

  • Build, maintain, and improve structured historical datasets and databases that support estimating benchmarks, conceptual pricing, root cause analysis, and future predictive modeling.

  • Improve data quality and usability by resolving inconsistencies in naming conventions, units of measure, metadata, assumptions, and source traceability.

  • Build and run queries against internal databases and enterprise systems; use SQL and other tools to extract, join, filter, validate, and organize data from multiple sources.

  • Develop repeatable query logic and data pipelines that improve accessibility, consistency, and auditability, while partnering with IT and data teams to align with governance standards and future data architecture.

  • Identify correlations, trends, anomalies, and performance patterns across historical and active energy projects, including relationships among design variables, cost drivers, labor productivity, procurement timing, geography, weather, and project outcomes.

  • Generate insights that improve profitability, reduce risk, strengthen conceptual estimates, and support value engineering and broader business decision-making.

  • Benchmark current bids and conceptual estimates against historical project performance, market trends, prior wins, and known cost drivers; support the Indicative Lead and PCM in pricing and repricing exercises through structured data analysis.

  • Build dashboards, reports, and KPI visibility tools using Power BI or similar platforms to track estimate accuracy, cost variance, margin trends, bid competitiveness, win rates, and project milestones.

  • Translate complex analysis into clear, decision-oriented reporting for leadership and business stakeholders.

  • Support risk analysis, forecasting, sensitivity analysis, scenario modeling, contingency planning, and feasibility analysis using internal and external data, including location, weather, irradiance, and grid proximity.

  • Support the improvement and standardization of estimating and engineering templates, define and reinforce data standards, act as a technical liaison across estimating, engineering, procurement, finance, and IT, and contribute to continuous improvement and future system integration.

  • Perform other duties as assigned.

EDUCATION AND WORK EXPERIENCE

  • Bachelor's degree in Data Analytics, Data Science, Engineering, Finance, Information Systems, or a related field is required.

  • 5+ years of experience in data analytics or a related analytical role is required.

  • Strong experience in cleansing, standardizing, and structuring complex datasets is required.

  • Strong SQL proficiency and experience querying databases are required.

  • Strong Excel proficiency is required; advanced Excel skills, including Power Query, PivotTables, and structured data manipulation, are preferred.

  • Strong experience building dashboards and reports in Power BI or a similar tool is required.

  • Experience in identifying correlations, patterns, and trends in data to support business decisions is required.

  • Experience working independently and collaborating across business and technical functions is required.

  • Experience supporting data governance, standardization, or system integration efforts is required.

  • Knowledge of data quality, database concepts, query logic, enterprise data environments, dashboarding, KPI development, benchmarking, correlation analysis, trend analysis, and forecasting is required.

  • Strong analytical, problem-solving, documentation, communication, and stakeholder collaboration skills are required.

  • Experience in energy, EPC, construction, or infrastructure environments is preferred.

  • Experience with ERP systems, such as Oracle, and CRM systems is preferred.

  • Experience with Python or R for data analysis or automation is preferred.

  • Familiarity with estimating, engineering, and procurement workflows is preferred.

JOB TITLE: SENIOR DATA ANALYST, ENERGY PRECONSTRUCTION

JOB LOCATION: FORT LAUDERDALE, FL

CLASSIFICATION: FULL TIME - EXEMPT - SALARIED

REPORTS TO: SENIOR MANAGER, SOLAR ESTIMATING

Moss is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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