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Entry Level Python Analyst Jobs in Dallas, TX (NOW HIRING)

Junior Software Developer

Dallas, TX

$66.60K - $86.40K/yr

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/Data Scientists. We welcome candidates with all visas and citizens to apply. Who ...

Software Developer - Junior

Dallas, TX

$66.60K - $86.40K/yr

We are continuously looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for ...

Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists. We welcome candidates with all visas and citizens to apply. Who ...

AdOps/Analytics Strategist

Dallas, TX · On-site

$120.20K - $155.30K/yr

Supporting entry-level analytics projects, including dashboard management and coordination with ... Experience in ad-serving platforms (Flashtalking) or coding (Python) a plus but not required

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Entry Level Python Analyst information

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How much do entry level python analyst jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for entry level python analyst in Dallas, TX is $32.57, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $36.39 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Python Analyst, and why are they important?

To thrive as an Entry Level Python Analyst, you need a solid understanding of Python programming, data analysis basics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (such as pandas and NumPy), SQL databases, and data visualization tools like Tableau or matplotlib is typically required. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data and present findings clearly. These skills and qualities are crucial for delivering accurate analyses, supporting business decisions, and collaborating effectively with team members.

What are some typical projects or tasks that an Entry Level Python Analyst might work on in their first year?

As an Entry Level Python Analyst, you can expect to work on tasks such as data cleaning, automating repetitive processes, creating basic data visualizations, and supporting more senior analysts with scripting and data manipulation. Common projects include assisting with the development of internal tools, writing scripts to extract or transform data, and generating reports for various business units. You’ll often collaborate closely with data scientists, engineers, and business analysts, making communication skills and teamwork important from the outset.

What does an Entry Level Python Analyst do?

An Entry Level Python Analyst is responsible for using Python programming to collect, analyze, and interpret data to help organizations make informed decisions. They often work with data sets, automate tasks, and create scripts or tools to streamline processes. Their work typically involves cleaning data, performing basic statistical analysis, and generating reports or visualizations. Entry level analysts may also assist in developing and testing software solutions or collaborate with senior analysts to solve business problems.

What is the difference between Entry Level Python Analyst vs Data Analyst?

AspectEntry Level Python AnalystData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; Python skillsBachelor's in Statistics, Math, or related; Excel, SQL skills
Work EnvironmentTech companies, finance, healthcare; coding-focusedBusiness, marketing, finance; data interpretation
Employer & Industry UsageStartups, tech firms, data-driven industriesCorporations, consulting firms, various sectors
Common Search & ComparisonYesYes

Entry Level Python Analysts focus on coding and developing data solutions using Python, often in tech-driven environments. Data Analysts primarily interpret data using tools like Excel and SQL, with less emphasis on programming. Both roles require a bachelor's degree, but the Python Analyst role emphasizes programming skills, making it ideal for those interested in coding and data engineering.

What are the most commonly searched types of Python Analyst jobs in Dallas, TX? The most popular types of Python Analyst jobs in Dallas, TX are:
Risk Management Analyst I - Loss Mitigation

Risk Management Analyst I - Loss Mitigation

Mariner Finance

Plano, TX • On-site

$73.96K - $91.66K/yr

Full-time

Posted 9 days ago


Mariner Finance rating

7.6

Company rating: 7.6 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

Base Salary RangeUSD $73,957.63 - USD $91,658.15 /Yr.Join Mariner Finance!

Since 1927, the Mariner Finance family of companies has provided customers with creative, flexible, and convenient lending options. Headquartered in Baltimore, Mariner Finance operates coast-to-coast with physical locations in over half the states. With a growing number of employees, superior customer service remains the cornerstone of our business, and we pride ourselves in delivering a variety of loans with an enhanced focus on exceptional service. We work with customers to find options that are beneficial to their specific needs, which is why we are recognized by our customers as one of the community's consumer finance companies of choice.

Benefits:

For information regarding our benefits, please visit: https://www.marinerfinance.com/careers/benefits/ 

Job Details

In this role, you will...

The Risk Management Analyst - Loss Mitigation will support the development, execution, and monitoring of strategies that minimize credit losses and improve recovery performance across Mariner Finance's consumer lending portfolio. This entry-level role is ideal for a highly analytical and motivated individual looking to build a career in credit risk management.

The analyst will assist in analyzing portfolio trends, testing loss mitigation initiatives, and supporting cross-functional projects that enhance decision-making and operational effectiveness. Working closely with the AVP of Loss Mitigation and partners across Risk, Credit, and Central Operations, this individual will gain hands-on experience with data analytics, strategy design, test design, and risk process optimization in a fast-paced, collaborative environment.

Responsibilities and Duties:

  • Collect, analyze, and interpret data related to delinquency, recovery, and loss trends across all stages of the credit lifecycle.
  • Prepare regular reports and dashboards summarizing key performance metrics for management review.
  • Support ad-hoc analytical requests to investigate performance drivers, portfolio movements, and risk exposures.
  • Assist in the implementation and tracking of loss mitigation strategies, including hardship programs, settlement offers, and post-charge-off recovery tactics.
  • Partner with Central Operations to ensure accurate and timely execution of strategy changes, campaign launches, and process updates.
  • Participate in controlled testing and analysis of new strategies to evaluate effectiveness and impact.
  • Maintain data accuracy within analytical tools, reports, and systems supporting loss mitigation processes.
  • Help enhance existing tools and contribute to the design of new dashboards, reports, and automation workflows.
  • Collaborate with Technology and Data Science teams to support model performance monitoring and data integration efforts.
  • Partner with colleagues in Credit, Collections, Operations, and Risk to ensure strategies are aligned and effectively executed.
  • Support presentations and documentation for internal stakeholders, including senior management and compliance reviews.
  • Participate in projects that enhance the customer experience, improve efficiency, and strengthen overall risk controls.
  • Develop a working knowledge of credit risk fundamentals, loss mitigation strategies, and consumer lending operations.
  • Actively engage in ongoing training and mentorship from senior risk leaders to build technical, analytical, and business acumen.
  • Stay current on industry trends, emerging technologies, and regulatory developments affecting credit and loss mitigation.

Required Qualifications:

  • Bachelor's degree in a quantitative field of study (Statistics, Economics, Finance, Engineering, Applied Mathematics, etc.) with an exceptional academic record.
  • Experience with SAS, SQL, or similar tools.
  • Strong technical skills with proficiency in MS Office suite; Advanced in Excel (e.g., pivots, advance formulas, macros).
  • Understanding of general risk principles and financial concepts.
  • Demonstrate a strong commitment to continuous learning, actively seeking out opportunities to acquire new skills and stay abreast of industry trends.
  • Excellent interpersonal skills necessary to communicate professionally and effectively, verbally and in writing, with all levels of company staff.
  • Highly-motivated self-starter with strong work ethic, exceptional attention to detail, and ability to complete tasks and support multiple projects simultaneously.
  • Strong analytical, problem-solving, organizational, and project administration skills.
  • Results oriented individual with the ability to translate plans into actions.

Preferred Qualifications:

  • Experience in credit loss forecasting and/or credit risk analysis.
  • Experience with Python, R, or similar tools.

Hours of Work:

Work hours will depend on the business hours of the time zone serviced.

To the extent permitted by law, the Company may, in its sole discretion, change the work schedule to address business needs.

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit for extended periods; reach with hands and arms; and talk or hear. The employee is occasionally required to move about. The employee must occasionally lift and/or move up to twenty (20) pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus.

EEO:

Mariner Finance is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, creed, sex, gender, gender identity or expression, marital status, age, religion, national origin, sexual orientation, familial or caregiver status, citizenship status, status as a victim of domestic violence, medical condition, genetic information, pregnancy, physical or mental disability, or status as a disabled or Vietnam era veteran. Employee must be able to perform the essential duties/functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential duties/functions of their job, absent undue hardship. Drug/Alcohol/Smoke-free workplace. 

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Employment Type: FULL_TIME

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