2

Entry Level Data Analyst Fintech Jobs in Colorado

Responsibilities: * Build strategic HR analytics tools (e.g., safety and health, turnover ... entry-level employees. The ability to relate to different types of people and understand their ...

Actuar como referente técnico del equipo, guiando a Data Engineers y Analytics Engineers ... fintech). * Habilidades Técnicas Avanzadas: Nivel experto en SQL y Python, con un profundo ...

This entry-level role offers a path to management through hands-on experience with data analysis, reporting, supplier and vendor support, contract negotiation, and administration of requests for ...

This entry-level role offers a path to management through hands-on experience with data analysis, reporting, supplier and vendor support, contract negotiation, and administration of requests for ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... practices. * Entry level to intermediate knowledge and understanding of financial statements and ability to analyze business and financial data. * Strong analytical, conceptual, communication ...

New

Help analyze system performance and identify opportunities for optimization. * Learn about modern ... Understanding of operating systems, data structures, algorithms, and networking fundamentals.

next page

Showing results 1-20

Entry Level Data Analyst Fintech information

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.
What are the most commonly searched types of Data Analyst Fintech jobs in Colorado? The most popular types of Data Analyst Fintech jobs in Colorado are:
What are popular job titles related to Entry Level Data Analyst Fintech jobs in Colorado? For Entry Level Data Analyst Fintech jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst Fintech jobs in Colorado look for? The top searched job categories for Entry Level Data Analyst Fintech jobs in Colorado are:
What cities in Colorado are hiring for Entry Level Data Analyst Fintech jobs? Cities in Colorado with the most Entry Level Data Analyst Fintech job openings:
Infographic showing various Entry Level Data Analyst Fintech job openings in Colorado as of July 2026, with employment types broken down into 86% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Consultative Offerings - Government & Public Services - Analyst - AI & Data Engineering

Deloitte

Denver, CO

Other

Re-posted 10 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

56th of 150 rated financial services


Job description

Join Deloitte's Government & Public Services practice as an Analyst and help organizations address complex challenges that matter. In this role, you will work alongside teams supporting transformation initiatives, improving performance, and helping clients generate measurable value. You will have opportunities to build consulting skills through hands-on experience, collaboration, and exposure across client environments.

Recruiting for this role ends on 07/26/2026.

Work you'll do

As an Analyst in our Government & Public Services practice, you will be an integral member of a client service team, collaborating with diverse and talented team members to help solve multidimensional problems, improve performance, and generate value for our clients. You can capitalize on our cross-industry presence to find your niche and build your individual brand within the organization.

While a career in consulting is dynamic and evolving, we look for people who will perform in specific areas, grow those related skills, and deliver exceptional results to our clients. We recognize that candidates bring different skills, experiences, and interests, so we align Analysts to skills-based profiles that support development and client impact. Setting our people up for success is a priority, and we are currently recruiting AI and Data Engineering Analysts whose skills and interests align with the below description:

AI and Data Engineering Analyst

       This Analyst architects, designs, develops, and deploys enterprise solutions that span the full spectrum of Artificial Intelligence, including Chatbots, Virtual Assistants, Machine Learning, and Cognitive Services. This role combines deep expertise in advanced algorithms and scientific methods to build intelligent systems capable of interpreting data, making decisions, and uncovering actionable business insights. By merging expertise in AI, data engineering, and enterprise architecture, this Analyst empowers organizations to leverage data-driven intelligence and scalable solutions to meet evolving business and agency needs.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services practice serves government agencies, higher education institutions, nonprofit organizations, and other public sector organizations. Teams work across strategy, operations, technology, and transformation efforts to help clients improve mission outcomes and organizational performance. Professionals in the practice have opportunities to build specialized experience while working in a collaborative, growth-oriented environment.

Qualifications

Required:

  • Must be currently enrolled in an accredited college or university and expected to graduate by Summer 2027 or have completed a bachelor's degree or higher in Artificial Intelligence, Computer Science, Computational Engineering, Data Science, Machine Learning, Robotics, or an equivalent program
  • Cumulative grade point average of 3.0 or higher
  • You must reside within a commutable distance (e.g. 100-mile radius) of your assigned office with the ability to commute daily, if required
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Ability to obtain and maintain a U.S. Security Clearance
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Candidates must be at least 18 years of age at the time of employment

Preferred:

  • Cumulative grade point average of 3.4 or higher
  • Internship, project, or coursework experience in artificial intelligence, computer science, computational engineering, data science, machine learning, or robotics

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000 to $98,000.

Qualifications:

Join Deloitte's Government & Public Services practice as an Analyst and help organizations address complex challenges that matter. In this role, you will work alongside teams supporting transformation initiatives, improving performance, and helping clients generate measurable value. You will have opportunities to build consulting skills through hands-on experience, collaboration, and exposure across client environments.

Recruiting for this role ends on 07/26/2026.

Work you'll do

As an Analyst in our Government & Public Services practice, you will be an integral member of a client service team, collaborating with diverse and talented team members to help solve multidimensional problems, improve performance, and generate value for our clients. You can capitalize on our cross-industry presence to find your niche and build your individual brand within the organization.

While a career in consulting is dynamic and evolving, we look for people who will perform in specific areas, grow those related skills, and deliver exceptional results to our clients. We recognize that candidates bring different skills, experiences, and interests, so we align Analysts to skills-based profiles that support development and client impact. Setting our people up for success is a priority, and we are currently recruiting AI and Data Engineering Analysts whose skills and interests align with the below description:

AI and Data Engineering Analyst

       This Analyst architects, designs, develops, and deploys enterprise solutions that span the full spectrum of Artificial Intelligence, including Chatbots, Virtual Assistants, Machine Learning, and Cognitive Services. This role combines deep expertise in advanced algorithms and scientific methods to build intelligent systems capable of interpreting data, making decisions, and uncovering actionable business insights. By merging expertise in AI, data engineering, and enterprise architecture, this Analyst empowers organizations to leverage data-driven intelligence and scalable solutions to meet evolving business and agency needs.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services practice serves government agencies, higher education institutions, nonprofit organizations, and other public sector organizations. Teams work across strategy, operations, technology, and transformation efforts to help clients improve mission outcomes and organizational performance. Professionals in the practice have opportunities to build specialized experience while working in a collaborative, growth-oriented environment.

Qualifications

Required:

  • Must be currently enrolled in an accredited college or university and expected to graduate by Summer 2027 or have completed a bachelor's degree or higher in Artificial Intelligence, Computer Science, Computational Engineering, Data Science, Machine Learning, Robotics, or an equivalent program
  • Cumulative grade point average of 3.0 or higher
  • You must reside within a commutable distance (e.g. 100-mile radius) of your assigned office with the ability to commute daily, if required
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Ability to obtain and maintain a U.S. Security Clearance
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Candidates must be at least 18 years of age at the time of employment

Preferred:

  • Cumulative grade point average of 3.4 or higher
  • Internship, project, or coursework experience in artificial intelligence, computer science, computational engineering, data science, machine learning, or robotics

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000 to $98,000.

Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom