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Entry Level Finance Python Jobs in Utah (NOW HIRING)

At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit ... The Data Analyst I is an entry-level analytics professional responsible for collecting, analyzing ...

Entry Level Finance Python information

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

AspectEntry Level Finance PythonEntry Level Data Analyst
Required SkillsPython, finance concepts, basic data analysisExcel, SQL, data visualization, basic statistics
CertificationsFinance or Python certifications helpfulData analysis or visualization certifications
Work EnvironmentFinancial institutions, fintech companiesCorporate, consulting, or tech firms
Industry UsageFinancial modeling, risk analysis, algorithmic tradingBusiness insights, reporting, data management

Entry Level Finance Python roles focus on applying Python skills within finance settings, emphasizing financial analysis and modeling. Entry Level Data Analyst positions involve broader data handling, visualization, and reporting tasks across various industries. While both roles require analytical skills, Finance Python roles are more specialized in finance-specific tools and concepts, whereas Data Analysts have a wider scope in data management and interpretation.

What are Entry Level Finance Python jobs?

Entry Level Finance Python jobs are positions for recent graduates or career starters in the finance industry that require knowledge of the Python programming language. These roles often involve tasks such as data analysis, financial modeling, automation of reporting, and developing tools to support trading or risk management. Employers seek candidates with a background in finance, economics, or a related field, as well as proficiency in Python and an understanding of financial concepts. These jobs provide a foundation for more advanced careers in quantitative finance, data science, or financial engineering.

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

To excel as an Entry Level Finance Python professional, you need a solid grounding in finance principles, data analysis, and proficiency in Python programming, often supported by a relevant degree in finance, economics, or computer science. Familiarity with financial modeling tools, Excel, SQL databases, and libraries like pandas or NumPy is typically required. Strong analytical thinking, problem-solving, and attention to detail are crucial soft skills in this role. These competencies enable accurate data-driven decision making and efficient automation of financial processes, both critical for success in the fast-paced finance industry.

What types of projects or tasks are typically assigned to entry-level finance professionals with Python skills?

Entry-level finance professionals who know Python are often tasked with automating repetitive processes, cleaning and analyzing large datasets, and building simple financial models or dashboards. They may also support senior analysts by developing scripts to streamline data collection or reporting tasks. Collaboration with other team members, such as data analysts and financial managers, is common to ensure that insights derived from Python-driven analyses align with business goals. This hands-on experience not only builds technical skills but also offers exposure to the finance industry's data-driven decision-making processes.
What cities in Utah are hiring for Entry Level Finance Python jobs? Cities in Utah with the most Entry Level Finance Python job openings:
Data Analyst I

Data Analyst I

Snap Finance

West Valley City, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

Company Overview:
At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit history. Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built on empowering our customers, partners, and team members alike. When our people thrive, so does our innovation.
If you're looking to make an impact and grow with a team that values you, come join us!
Job Description
The Data Analyst I is an entry-level analytics professional responsible for collecting, analyzing, and interpreting data to help drive informed business decisions across Snap's portfolio. This role partners with stakeholders across the organization to develop reports, dashboards, and actionable insights that improve operational efficiency and business performance. The ideal candidate is curious, detail-oriented, and passionate about transforming data into meaningful recommendations.
How you'll make an impact:
  • Collect, analyze, and interpret data from multiple sources to support business initiatives and decision-making.
  • Develop and maintain reports, dashboards, and visualizations that provide actionable insights to stakeholders.
  • Assist in identifying trends, patterns, and opportunities within large datasets.
  • Collaborate with business teams to understand reporting requirements and translate them into analytical solutions.
  • Support data validation, quality assurance, and governance efforts to ensure data accuracy and reliability.
  • Perform ad hoc analyses to answer business questions and support strategic initiatives.
  • Document reporting processes, methodologies, and business definitions.
  • Partner with cross-functional teams to improve reporting capabilities and operational efficiencies.
  • Present findings and recommendations to both technical and non-technical audiences.
  • Continuously learn and apply new analytical techniques, tools, and best practices.

What you'll need to succeed:
  • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, Economics, or a related field.
  • 0-2 years of experience in data analysis, business intelligence, reporting, or related analytical work.
  • Experience in SQL, Python, and/or R for querying and analyzing data. AI tool utilization is also a plus.
  • Understanding of data analysis concepts, statistical methods, and reporting best practices.
  • Strong analytical and problem-solving skills.
  • Ability to communicate insights clearly to technical and non-technical stakeholders.
  • Strong attention to detail and commitment to data accuracy.
  • Ability to manage multiple priorities in a fast-paced environment.

What would make you stand out:
  • Experience with Python, R, or another analytical programming language.
  • Experience building dashboards in Tableau, R, Studio, or Python.
  • Exposure to ETL processes, data warehousing, or data modeling concepts.
  • Knowledge of statistical analysis, A/B testing, or predictive analytics.
  • Experience working with large datasets and complex business problems.
  • Internship experience in analytics, finance, technology, or related industries.
  • Curiosity for uncovering insights and driving data-informed decision making.
  • Experience working in cross-functional team environments.
  • Passion for continuous learning and professional development.

Why Join Us:
  • Generous paid time off
  • Competitive medical, dental & vision coverage
  • 401K with company match for US
  • Company-paid life insurance
  • Company-paid short-term and long-term disability
  • Access to mental health and wellness resources
  • Company-paid volunteer time to do good in your community
  • Legal coverage and other supplemental options
  • A value-based culture where growth opportunities are endless

More:
Snap values diversity and all qualified applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Learn more by visiting our website at www.snapfinance.com.
California Residents, please review our California Consumer Privacy Act Notice at https://snapfinance.com/ccpa-notice