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Freelance Python Data Analysis Jobs in Utah (NOW HIRING)

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 ...

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 ...

Interacts with product and service teams to identify questions and issues for data analysis and ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

Interacts with product and service teams to identify questions and issues for data analysis and ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

Interacts with product and service teams to identify questions and issues for data analysis and ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

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 ...

Senior DataBI Analyst

Salt Lake City, UT · On-site

$83K - $105K/yr

... data retrieval, transformation, and analysis. • Create and maintain data models that support ... Python scripts and Jupyter notebooks for data extraction, transformation, and automation.

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 ...

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 ...

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 ...

Sr. Data Engineer

Draper, UT · On-site

$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 ...

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Freelance Python Data Analysis information

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

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

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
What are the most commonly searched types of Python Data Analysis jobs in Utah? The most popular types of Python Data Analysis jobs in Utah are:
What are popular job titles related to Freelance Python Data Analysis jobs in Utah? For Freelance Python Data Analysis jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Freelance Python Data Analysis jobs? Cities in Utah with the most Freelance Python Data Analysis job openings:
Manager, Portfolio Data Feeds

Manager, Portfolio Data Feeds

Addepar

Salt Lake City, UT

Other

Re-posted 5 days ago


Job description

The Role

We are currently seeking a Lead, Product Manager to join our Portfolio Data Feeds team in Salt Lake City. As well as performing the role of a Product manager within the team by using your skills to effectively contribute towards the overall goals of the team, you will lead and develop the analysts within the team to enable them to do the same.

Addepar takes a market-based approach to pay. A successful candidate's starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions.

The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York. The current range for this role is $147,000 - $184,00 (base salary) + bonus + equity + benefits.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.

Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.

What You'll Do
  • Serve as a "player/coach" who will contribute to and supervise a team of Portfolio Data Analysts across the US
  • Develop and maintain effective process controls and accurate metrics to ensure quality standards and organisational expectations are met
  • Manage the onboarding, mentorship, and career development of individuals on the team through timely and effective performance feedback and by providing learning and growth opportunities
  • Lead the team to accomplish goals that are aligned with the organisation's  business and culture objectives and hold self and team members accountable for meeting expectations
  • Work with a variety of external financial data providers to develop and support the integration of their portfolio data into our platform
  • Use your understanding of our existing data models to write technical requirements on how to transform raw data into functional content on our platform
  • Analyze and onboard content from different sources into Addepar's data integration ecosystem
  • Partner with engineering, product management and data operations to deliver high quality, timely and reliable data solutions
  • Understand Addepar's products and clients. Using these insights, work with counterparts within the business to drive new and innovative opportunities to improve client experience
Who You Are
  • At least five years of experience in data analysis and product management with relevant finance domain-specific experience
  • Experience with leading teams, cross-functional projects and learning and development initiatives. Proven ability to plan, design, and manage numerous processes, people and projects simultaneously
  • Track record of effective problem solving abilities, self-motivation to take on responsibility, and a strong team-player mentality
  • Ability to work cross functionally to define functional and technical implementations to tackle a business problem. This includes understanding of high level data development concepts, data modeling, and the ability to write and review technical requirements documents
  • Technical skills preferred in any or all of the following: Excel, VBA, SQL, Python, Databricks or other common financial services systems and applications