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Entry Level Data Analyst Fintech Jobs in Texas (NOW HIRING)

Senior Data Scientist

Plano, TX · On-site

$150 - $200/hr

... fintech. * Professional Growth : We invest in our employees' growth with continuous learning ... About the Role We are looking for a seasoned Senior Data Scientist to join our Analytics team to ...

... fintech. * Professional Growth : We invest in our employees' growth with continuous learning ... About the Role We are looking for a seasoned Senior Data Scientist to join our Analytics team to ...

... fintech. * Professional Growth : We invest in our employees' growth with continuous learning ... About the Role We are looking for a seasoned Senior Data Scientist to join our Analytics team to ...

... fintech. * Professional Growth : We invest in our employees' growth with continuous learning ... About the Role We are looking for a seasoned Senior Data Scientist to join our Analytics team to ...

Dallas, TX, United States (On-site) Employment Type: Full-time Seniority Level: Entry Level Job ... Perform data analysis using Microsoft Excel and SQL to support business decisions. * Participate in ...

... entry-level Business Analyst to join our team. In this remote role, you will support our Dallas-based operations by analyzing business processes, gathering requirements, and transforming data into ...

New

Position Summary The Analytical Data Review Scientist is responsible for analyzing, tracking, and ... in entry-level or laboratory support positions. * Perform other duties and special projects ...

Position Summary The Analytical Data Review Scientist is responsible for analyzing, tracking, and ... in entry-level or laboratory support positions. * Perform other duties and special projects ...

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Mentored Analytical Support: Receive mentorship from data scientists, AI engineers, consultants ...

Showing results 41-60

Entry Level Data Analyst Fintech information

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 Texas?

The most popular types of Data Analyst Fintech jobs in Texas are:

What are popular job titles related to Entry Level Data Analyst Fintech jobs in Texas?

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

What job categories do people searching Entry Level Data Analyst Fintech jobs in Texas look for?

The top searched job categories for Entry Level Data Analyst Fintech jobs in Texas are:

What cities in Texas are hiring for Entry Level Data Analyst Fintech jobs?

Cities in Texas with the most Entry Level Data Analyst Fintech job openings:

Infographic showing various Entry Level Data Analyst Fintech job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data AI Engineer with Vector Databases

Apex Informatics

Plano, TX • On-site

$109K - $131K/yr

Other

Re-posted 7 days ago


Job description

Title: Data AI Engineer with Vector Databases
Location: Plano, TX
Job Description:
Key Responsibilities:
  1. Design and build ETL/ELT pipelines and data processing workflows
  2. Develop batch and real-time data pipelines using modern frameworks
  3. Work with Python and SQL for data transformation and analytics
  4. Implement GenAI data architectures, including RAG pipelines and vector indexing
  5. Manage and optimize Vector Databases for embedding storage and similarity search
  6. Build secure data solutions on AWS, ensuring data quality and compliance
  7. Support analytics, reporting, and data modernization initiatives

Required Skills:
  1. Strong experience in Python and SQL
  2. Hands-on experience with ETL/ELT and data pipelines
  3. Mandatory: Experience with Vector Databases
  4. Experience with GenAI / LLM frameworks (LangChain or LangGraph)
  5. Experience with Big Data frameworks (Apache Spark, Apache Kafka)
  6. Workflow orchestration using Apache Airflow
  7. Experience with data platforms like Databricks or Snowflake
  8. AWS services: S3, Glue, Redshift

Nice to Have:
  1. Experience with ML frameworks (Scikit-learn, PyTorch)
  2. Knowledge of RAG architectures and embedding pipelines
  3. Experience in financial services / fintech environments