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Entry Level Data Analyst Fintech Jobs (NOW HIRING)

Managed Staffing

Data analyst I

Austin, TX · On-site

$25 - $28/hr

1-3 years' experience in data analysis Strong Microsoft Excel skills (must-have) Experience with Power BI Entry-level knowledge of C++ and CSS (nice-to-have, not core) Engineering Technician I Active ...

Link Up Overseas

Data Entry Clerk / Part Time (Remote)

$17.50 - $23.25/hr

Exciting Opportunity - Remote Entry-Level Data Entry Clerk Are you a detail-oriented, organized ... analysis and contribute to actionable insights that drive business decisions. * Embrace new ...

Arsenault Inc

Data Risk Analyst

Philadelphia, PA · Remote

$50 - $85/hr

Data Risk Analyst Remote 6 Month Contract $50-85 Hourly. An innovative company that is focused on ... Experience working within or with a risk or fraud team. (Fintech Ideally) * Databricks ...

Cooper Companies

Data Analyst 1

West Henrietta, NY

$28K/yr

Job Summary Data Analyst 1 is an entry-level, developmental role designed to build foundational data analytics and visualization skills in preparation for progression to a Data Analyst 2 role. The ...

CooperCompanies

Data Analyst 1

West Henrietta, NY · On-site

$28K/yr

Job Summary Data Analyst 1 is an entry-level, developmental role designed to build foundational data analytics and visualization skills in preparation for progression to a Data Analyst 2 role. The ...

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Entry Level Data Analyst Fintech information

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

As of Jul 10, 2026, the average hourly pay for entry level data analyst fintech in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

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 does an entry level data analyst do in the fintech industry?

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 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 are some typical projects or tasks that an entry level data analyst in a fintech company 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.
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Entry Level Data Analyst Fintech jobs near you
Infographic showing various Entry Level Data Analyst Fintech job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Data Analyst (Entry Level)

Data Analyst (Entry Level)

CodersData, LLC

North Patchogue, NY

Full-time

Re-posted 23 days ago

Job description

Company Description

Codersdata have been the undisputed training and placements providers, gracefully serving the training requirements of individuals and corporate for more than years now. We furnish innovative learning and development solutions sheathing diverse areas and industries customized to meet your needs. Our training services are purveyed in both one-on-one interaction as well as eLearning environments, with the assurance that the training objectives are procured no matter what.

We discern the fact that in our fast paced world, it is of paramount importance to keep up the fastidiousness with development in standards, regulations and technology. Individuals and businesses who are molded with proper training and support in their professional development are more likely to be driven with an advanced knowledge base leading to an increase in overall proficiency of the organization.

Job Description
  • Managing master data, including creation, updates, and deletion.
  • Managing users and user roles.
  • Provide quality assurance of imported data, working with quality assurance analyst if necessary.
  • Commissioning and decommissioning of data sets.
  • Processing confidential data and information according to guidelines.
  • Helping develop reports and analysis.
  • Managing and designing the reporting environment, including data sources, security, and metadata.
  • Supporting the data warehouse in identifying and revising reporting requirements.
  • Supporting initiatives for data integrity and normalization.
  • Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
  • Generating reports from single or multiple systems.
  • Troubleshooting the reporting database environment and reports.
  • Evaluating changes and updates to source production systems.
  • Training end users on new reports and dashboards.
  • Providing technical expertise on data storage structures, data mining, and data cleansing.
Qualifications
  • Work experience as a data analyst or in related field.
  • Ability to work with stakeholders to assess potential risks.
  • Ability to analyze existing tools and databases and provide software solution recommendations.
  • Ability to translate business requirements into non-technical, lay terms.
  • High-level experience in methodologies and processes for managing large scale databases.
  • Demonstrated experience in handling large data sets and relational databases.
  • Understanding of addressing and metadata standards.
  • High-level written and verbal communication skills.
Additional Information

All your information will be kept confidential according to EEO guidelines.

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