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Entry Level Data Analyst Fintech Jobs in Boca Raton, FL

Data Engineer II

Plantation, FL · On-site

$90 - $130/hr

Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and ... Develop and support data warehouses, data marts, and analytical data models. * Create, optimize ...

Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and ... Develop and support data warehouses, data marts, and analytical data models. * Create, optimize ...

Record Coordinator

Pompano Beach, FL · On-site

$64K/yr

Responsibilities include completing daily audit deliverables, data entry, and entry level data analysis. In addition, performing quality review checks, attribute testing on controlled documents, and ...

Record Coordinator

Pompano Beach, FL · On-site

$64K/yr

Responsibilities include completing daily audit deliverables, data entry, and entry level data analysis. In addition, performing quality review checks, attribute testing on controlled documents, and ...

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way ... Monitor and perform complex daily reconciliations and analysis of bank data for wire and Automated ...

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way ... Experience in data analysis * 4+ years of an equivalent combination of education, work and/or ...

The Financial Analyst (Entry-Level) is responsible entering and tracking client engagements into ... Maintain confidentiality of client information and company data. What You Will Bring: * Familiarity ...

The Financial Analyst (Entry-Level) is responsible entering and tracking client engagements into ... Maintain confidentiality of client information and company data. What You Will Bring: * Familiarity ...

The Financial Analyst (Entry-Level) is responsible entering and tracking client engagements into ... Maintain confidentiality of client information and company data. What You Will Bring: * Familiarity ...

Associate Account Manager

Plantation, FL · On-site +1

$122K - $127K/yr

Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and ... Analyze client program performance data, identify trends, and provide actionable insights to ...

Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and ... Analyze client program performance data, identify trends, and provide actionable insights to ...

Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and ... Analyze client program performance data, identify trends, and provide actionable insights to ...

Associate Account Manager

Plantation, FL · On-site +1

$122K - $127K/yr

Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and ... Analyze client program performance data, identify trends, and provide actionable insights to ...

Product Manager

Boca Raton, FL · On-site

$60K - $80K/yr

... fintech, trading platforms, or financial services is a plus. * Strong analytical skills with an interest in using data to inform product decisions and measure success through KPIs and user metrics.

Showing results 21-40

Entry Level Data Analyst Fintech information

See Boca Raton, FL salary details

$12

$31

$58

How much do entry level data analyst fintech jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for entry level data analyst fintech in Boca Raton, FL is $31.25, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $34.90 per hour, depending on experience, location, and employer.

What does an entry level data analyst do in fintech?

An entry level data analyst in fintech is responsible for collecting, cleaning, and interpreting data related to financial products and services. Their work typically involves analyzing large datasets to identify trends, support business decisions, and improve financial products. They may also create dashboards or reports to visualize data findings for other teams. Additionally, entry level analysts often collaborate with engineers, product managers, and senior analysts to ensure data accuracy and relevance. This role provides a strong foundation in both data analysis and the unique challenges of the financial technology sector.

What are some typical projects or tasks that an entry level data analyst in fintech might work on?

As an entry level data analyst in fintech, you’ll often assist with tasks such as cleaning and preparing large financial datasets, creating basic reports and dashboards, and supporting more senior analysts with ad-hoc data requests. You may also help monitor transaction trends for fraud detection, contribute to customer segmentation projects, and automate routine data processes. Collaboration with product, engineering, and compliance teams is common, and you’ll gain valuable exposure to the fast-paced, data-driven decision-making environment typical of fintech companies.

What are the key skills and qualifications needed to thrive as an entry level data analyst in fintech, and why are they important?

To thrive as an Entry Level Data Analyst in Fintech, you need strong analytical skills, a solid grasp of statistics, and a degree in a related field such as mathematics, finance, or computer science. Familiarity with data analysis tools like SQL, Python, and Excel, as well as financial data platforms, is typically expected. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting data and sharing insights with stakeholders. These skills are important for accurately analyzing complex financial data, driving data-driven decisions, and supporting the company's strategic goals.

What is the difference between Entry Level Data Analyst Fintech vs Entry Level Data Scientist Fintech?

AspectEntry Level Data Analyst FintechEntry Level Data Scientist Fintech
Required CredentialsBachelor's in Data, Finance, or related field; basic SQL and Excel skillsBachelor's in Data Science, Statistics, or related; programming skills in Python/R; some certifications
Work EnvironmentData analysis teams within fintech companies, focusing on reporting and dashboardsData science teams, working on predictive models and advanced analytics
Employer & Industry UsageCommon in fintech firms for operational insightsLess common at entry level, more in research and development roles

Entry Level Data Analyst Fintech roles focus on interpreting data, creating reports, and supporting decision-making with basic analytics. Entry Level Data Scientist Fintech positions involve more advanced statistical modeling and programming. While both roles require a strong foundation in data concepts, data scientists typically need additional technical skills and certifications. The analyst role is more accessible for beginners, whereas data scientist roles are more specialized and technical.

What are the most commonly searched types of Data Analyst Fintech jobs in Boca Raton, FL?

The most popular types of Data Analyst Fintech jobs in Boca Raton, FL are:

What are popular job titles related to Entry Level Data Analyst Fintech jobs in Boca Raton, FL?

For Entry Level Data Analyst Fintech jobs in Boca Raton, FL, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst Fintech jobs in Boca Raton, FL look for?

The top searched job categories for Entry Level Data Analyst Fintech jobs in Boca Raton, FL are:

What cities near Boca Raton, FL are hiring for Entry Level Data Analyst Fintech jobs?

Cities near Boca Raton, FL with the most Entry Level Data Analyst Fintech job openings:

Infographic showing various Entry Level Data Analyst Fintech job openings in Boca Raton, FL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $64,992 per year, or $31.2 per hour.

Data Engineer II

NationsBenefits, LLC

Plantation, FL • On-site

$90 - $130/hr

Other

Medical

Re-posted 7 days ago


NationsBenefits rating

6.6

Company rating: 6.6 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

318th of 500 rated business services


Job description

NationsBenefits is recognized as one of the fastest-growing companies in America and a Healthcare Fintech provider of supplemental benefits, flex cards, and member engagement solutions. We partner with managed care organizations to provide innovative healthcare solutions that drive growth, improve outcomes, reduce costs, and bring value to their members.

Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and member engagement solutions, we help health plans deliver high-quality benefits to their members that address the social determinants of health and improve member health outcomes and satisfaction.

Our compliance-focused infrastructure, proprietary technology systems, and premier service delivery model allow our health plan partners to deliver high-quality, value-based care to millions of members.

We offer a fulfilling work environment that attracts top talent and encourages all associates to contribute to delivering premier service to internal and external customers alike. Our goal is to transform the healthcare industry for the better! We provide career advancement opportunities from within the organization across multiple locations in the US, South America, and India.
Location: Plantation, Florida (Onsite)
Role:
The Technology & Data team is seeking an experienced Data Engineer II to support the design, development, and optimization of enterprise data solutions within a healthcare environment. This role is responsible for building scalable data pipelines, integrating data across multiple platforms, and delivering high-quality data assets that support analytics, reporting, and business decision-making. The ideal candidate will have strong hands-on experience with Databricks, SQL, SQL Server, SSIS, PL/SQL, and healthcare data.

Key Responsibilities:
  • Design, develop, and maintain scalable ETL/ELT data pipelines using Databricks and SQL technologies.
  • Build and optimize data ingestion, transformation, and integration processes across healthcare systems and enterprise data sources.
  • Develop and support data warehouses, data marts, and analytical data models.
  • Create, optimize, and maintain complex SQL queries, stored procedures, views, functions, and database objects.
  • Develop and support SSIS packages and data integration workflows.
  • Utilize Databricks, Apache Spark, and Delta Lake technologies to process and transform large datasets.
  • Collaborate with business stakeholders, analysts, architects, and application teams to deliver effective data solutions.
  • Monitor data quality and resolve performance bottlenecks and production issues.
  • Support HIPAA compliance, data governance, and data security initiatives.
  • Develop and maintain technical documentation and data mappings.
Required Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • Minimum of 3 years of experience in Data Engineering, Data Warehousing, or a related technical role.
  • Strong hands-on experience with Databricks and Apache Spark.
  • Advanced SQL development skills, including query optimization and performance tuning.
  • Strong experience with Microsoft SQL Server, including stored procedures, indexing, and database performance tuning.
  • Experience developing and supporting SSIS (SQL Server Integration Services) packages.
  • Experience with PL/SQL development.
  • Experience building and maintaining ETL/ELT pipelines and data integration solutions.
  • Healthcare industry experience working with claims, provider, member, clinical, or operational healthcare data.
  • Strong analytical, troubleshooting, and communication skills.
Preferred Qualifications:
  • Experience with Python and PySpark.
  • Knowledge of Delta Lake and Lakehouse architecture.
  • Familiarity with healthcare data standards such as HL7, FHIR, ICD-10, and CPT.
  • Experience with Git and CI/CD deployment practices.
  • Databricks certification preferred.
Technical Skills:
  • Databricks
  • Apache Spark
  • Advanced SQL
  • Microsoft SQL Server
  • SSIS
  • PL/SQL
  • ETL/ELT Development
  • Data Warehousing
  • Data Modeling
  • Healthcare Data Management
  • Python
  • PySpark


NationsBenefits is an Equal Opportunity Employer.

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