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Weekend Python Data Analyst Jobs in Utah (NOW HIRING)

Clicklease

Risk Analyst

Draper, UT · On-site

Familiarity with data analysis tools such as SQL, Python, R, Power BI, Tableau, or similar technologies. * Strong analytical and problem-solving skills with attention to detail. * Ability to manage ...

Corpay

Quantitative Risk Analyst

Salt Lake City, UT · On-site

You will manage client data workflows, maintain and troubleshoot Python-based automations, and build customized analytical outputs that help clients get the most out of our platforms. This is a ...

swirecc

Data Scientist

Draper, UT · On-site

Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data ... with Python; experience with PySpark; experience with Statistical Analysis; experience with ...

swirecc

Data Scientist

Draper, UT

Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data ... with Python; experience with PySpark; experience with Statistical Analysis; experience with ...

swirecc

Data Scientist

Draper, UT · On-site

Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data ... with Python; experience with PySpark; experience with Statistical Analysis; experience with ...

BambooHR

Sr. Data Engineer

Draper, UT

$107K - $128K/yr

Collaborate with data analysts, data scientists, ML engineers, software engineers, and business ... Design, develop, and maintain scalable data ingestion and transformation pipelines using Python ...

Waystar

VP, Data Sciences

Lehi, UT · On-site

Strong command of SQL, Python, or R for data manipulation and analysis. * Experience with business intelligence tools (e.g., Tableau, Power BI, Looker) and data visualization techniques.

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Weekend Python Data Analyst information

What are some common challenges faced by Weekend Python Data Analysts, and how can they be managed?

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What are Weekend Python Data Analysts?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

What are the key skills and qualifications needed to thrive as a Weekend Python Data Analyst, and why are they important?

To thrive as a Weekend Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science—often supported by a relevant degree or certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

What is the difference between Weekend Python Data Analyst vs Weekend Data Scientist?

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

What are the most commonly searched types of Python Data Analyst jobs in Utah? The most popular types of Python Data Analyst jobs in Utah are:
Weekend Python Data Analyst jobs near you
Risk Analyst

Risk Analyst

Clicklease

Draper, UT • On-site

Full-time

Posted 16 days ago

Job description

Established in 2018, Clicklease is dedicated to empowering small business owners frequently overlooked by traditional lenders. Our headquarters are located in the vibrant city of Draper, UT, with operations extending to Radial, Alajuela, Costa Rica. We've cultivated a dynamic environment where equipment financing goes beyond being a mere service; it acts as the gateway to realizing entrepreneurial dreams.
Our Core Values:
1. We Are A Happy Company:
At Clicklease, happiness is not just a byproduct; it's a fundamental value. Join a workplace where positivity and joy are cultivated, creating an environment where you can bring your best self to work every day.
2. We Celebrate Collective Intelligence:
We thrive on the brilliance of collaboration. Clicklease is a space where diverse minds come together, combining their intelligence to create solutions that matter. Your ideas are not just heard; they're celebrated.
3. We Practice Empathy:
Empathy isn't just a word in our dictionary; it's a daily practice. Join a team that values understanding and compassion. At Clicklease, we recognize the human side of business and foster a culture where empathy is a guiding principle.
4. We Listen & Learn:
Growth is a continuous journey at Clicklease. We believe in listening and learning from one another. Your insights and experiences contribute to our collective knowledge, making us stronger as a team.
Our Mission:
At Clicklease, we have a clear purpose - to fulfill the capital needs of underserved entrepreneurs and their Main Street Businesses. We achieve this mission through simple, fast, and innovative equipment leasing solutions. This is not just a statement; it's the driving force behind everything we do.
About the role
At Clicklease, we're passionate about helping small businesses access the equipment financing they need to grow and succeed. As a Risk Analyst, you'll support data-driven decision-making by analyzing portfolio performance, identifying trends, and helping monitor credit risk across our lease portfolio. Working closely with teams across Risk, Finance, Data Science, Product, and Operations, you'll gain hands-on experience with financial analytics, reporting, and risk management while contributing to meaningful business outcomes. This is an excellent opportunity for someone early in their career who is curious, analytical, and eager to develop expertise in fintech, lending, and portfolio analytics.
What You'll Be Doing:
  • Support the monitoring and analysis of lease portfolio performance and credit risk trends.
  • Prepare recurring reports and dashboards that track portfolio health and key risk metrics.
  • Assist with data analysis to identify opportunities for improving portfolio performance and risk management.
  • Help maintain and validate risk models, reporting tools, and analytical processes.
  • Investigate portfolio performance trends and escalate potential risks to senior team members.
  • Participate in portfolio reviews and assist with risk assessments and reporting.
  • Collaborate with cross-functional teams to gather data and support business initiatives.
  • Document findings, recommendations, and process improvements.
  • Stay informed on industry trends, lending practices, and regulatory requirements.
What You Have:
  • Bachelor's degree in Finance, Economics, Statistics, Data Science, Mathematics, Business, or a related field.
  • 1+ years of experience in financial analysis, credit analysis, risk management, portfolio analytics, or a related field.
  • Basic to intermediate SQL skills and strong proficiency in Excel.
  • Familiarity with data analysis tools such as SQL, Python, R, Power BI, Tableau, or similar technologies.
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to manage multiple priorities and work effectively in a collaborative environment.
  • Strong written and verbal communication skills.
What Will Make You Stand Out:
  • Experience working in lending, leasing, fintech, banking, or other financial services environments.
  • Exposure to credit risk concepts, portfolio monitoring, or financial modeling.
  • Familiarity with Python, R, or business intelligence tools.
  • Internship or academic project experience involving data analysis or statistical modeling.
  • Curiosity and enthusiasm for learning credit risk and financial analytics.

Clicklease only accepts resumes submitted in English

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