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Weekend Python Data Analyst Jobs in Utah (NOW HIRING)

Good knowledge of Python, Microsoft Excel and intermediate statistics * Familiar with data science ... Prior experience in business analyst or project management roles Benefits The base salary range for ...

Python Developer

American Fork, UT · On-site

$45 - $62/hr

Python Developer Location : American Fork , UT/ Englewood, CO Duration : Contract (6+months) Rate ... cause analysis; and data gathering, analysis, and reporting within a system/software quality ...

Python Developer

American Fork, UT · On-site

$45 - $62/hr

Python Developer Location : American Fork , UT/ Englewood, CO Duration : Contract (6+months) Rate ... cause analysis; and data gathering, analysis, and reporting within a system/software quality ...

BI Developer 3

Lehi, UT · On-site

$52 - $56.33/hr

... analytics, and engineering teams Document processes, data models, and reporting standards Skills: Power BI Tableau SQL Server / T-SQL Data Modeling ETL Development Databricks Python Data Warehousing ...

Data NLU Tamil L2

Redmond, UT · On-site

$37K - $83K/yr

Familiarity with data processing and visualization languages and tools such as Python. * Experience using knowledge of regular expressions to develop and release hard-coded rules for LLM.

Data NLU Marathi L2

Redmond, UT · On-site

$37K - $83K/yr

Familiarity with data processing and visualization languages and tools such as Python. * Experience using knowledge of regular expressions to develop and release hard-coded rules for LLM.

Experience with Python, data quality testing, version control, CI/CD, or other practices that improve analytics engineering reliability. * Experience improving reporting trust through clearer metric ...

Experience with Python, data quality testing, version control, CI/CD, or other practices that improve analytics engineering reliability. * Experience improving reporting trust through clearer metric ...

Data Engineer IV - AI & Data Products

Draper, UT · On-site

$107K - $128K/yr

... Analysts, Data Scientists and AI use cases/agents. • Create and maintain data domain assets (pipelines/ETLs, sematic models and other assets) using Python, SQL, and other approved tools. • Build ...

... Analysts, Data Scientists and AI use cases/agents. * Create and maintain data domain assets (pipelines/ETLs, sematic models and other assets) using Python, SQL, and other approved tools. * Build high ...

Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance, scalability, reliability, and cost efficiency. * Design Data Models: Develop and maintain data marts ...

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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:

Data Analytics - Associate

iCapital

Salt Lake City, UT • On-site, Remote

$70K - $100K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


Job description

iCapital is looking to hire a Data and Analytics, Associate to measurably drive growth for the Operations and Investment Management (OIPM) group at iCapital. This role involves defining and calculating operational KPIs, transforming raw source data into processed business data, creating live dashboards to monitor performance, identifying driver metrics and statistical correlations, and finally working with business teams to enable data-driven change. This individual will sit in the Analytics group of the broader Data and Analytics team within Technology and will work closely with the Data Engineering group. 

On the technical side, this role will interface with the data stack of Airbyte, Snowflake, dbt, Prefect, Python and Tableau, among others. On the business side, this role will work with the Operations teams to produce management visibility, efficiency improvements and workflow automation. Ideal candidates will be highly proficient in our technical tooling, understand complex business problems, interface with senior stakeholders, develop execution plans, and finally present on their work.

 

Responsibilities

  • Write SQL within dbt to extract, transform, validate, and aggregate data.
  • Create Tableau dashboards for various business teams, charting key metrics and performing exploratory data analysis.
  • Monitor and deploy data pipelines into the orchestration infrastructure using Prefect.
  • Drive projects to completion by gathering business requirements, implementing technical solutions, following software best engineering practices, and presenting on results.
  • Work closely with the Engineering, Product and Business teams to form a thorough understanding of the industry and evolving data mode.
  • Convert data insights into concrete, action-oriented and phased execution plans that measurably grow various business metrics over time.

Qualifications

  • Bachelor's degree or higher in computer science, economics, mathematics, statistics or a related technical field
  • 3-5 years of experience in a data-related role
  • Excellent writing, communication and presentation skills
  • Excellent knowledge of SQL (dbt experienced is preferred)
  • Good knowledge of a business intelligence tool (i.e. Tableau, Looker, PowerBI)
  • Good knowledge of Python, Microsoft Excel and intermediate statistics
  • Familiar with data science techniques and machine learning models
  • Prior experience with end-to-end project delivery (i.e. requirements gathering, scoping, working within large organizations, and presenting on project plans and results)
  • Detail-oriented, naturally curious and willing to question the status quo to understand business needs
  • Prior experience in financial services and alternative investments
  • Prior experience in business analyst or project management roles

Benefits

The base salary range for this role is $70,000 to $100,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

 

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

 

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.