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Financial Analyst Python Freelance Jobs in Utah (NOW HIRING)

First Electronic Bank

CECL Analyst

Salt Lake City, UT · On-site

Offering revolving lines of credit, private-label credit cards, installment financing programs and ... Proficiency in Excel; basic familiarity with SQL, R, Python, and data visualization tools.

First Electronic Bank

CECL Analyst

Salt Lake City, UT · On-site

Offering revolving lines of credit, private-label credit cards, installment financing programs and ... Proficiency in Excel; basic familiarity with SQL, R, Python, and data visualization tools.

Conservice

Data & Business Analyst

Logan, UT · On-site

... and financial performance. Key Responsibilities: * Analyze large, complex data sets (tens of ... Hands-on experience with Python and/or R for data analysis and statistical modeling. * Experience ...

Conservice

Data & Business Analyst

Logan, UT · On-site

... and financial performance. Responsibilities : • Lead, mentor, and manage a team of Business ... and Python. Qualifications : Required : • Proven experience managing or leading a team of ...

Conservice

Data & Business Analyst

River Heights, UT

... and financial performance. Key Responsibilities: * Analyze large, complex data sets (tens of ... Hands-on experience with Python and/or R for data analysis and statistical modeling. * Experience ...

SilencerCo

Sales Analyst

Riverton, UT · On-site

This role partners closely with Sales, Marketing, Finance, and Operations to improve forecasting ... Preferred Skills Experience with forecasting models or statistical analysis tools (R, Python, SAS)

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

To excel as a Financial Analyst Python Freelance, you need strong analytical skills, a solid understanding of finance and accounting principles, and proficiency in Python programming, often supported by a relevant degree or certification. Familiarity with data analysis libraries (like Pandas and NumPy), financial modeling tools, and platforms such as Excel or Tableau is typically required. Excellent communication, problem-solving, and time management skills help freelancers effectively manage projects and convey insights to clients. These combined skills enable efficient, accurate financial analysis and deliver actionable recommendations in a competitive freelance environment.

How do Financial Analyst Python Freelancers typically collaborate with clients and teams during projects?

As a Financial Analyst Python Freelancer, collaboration often happens through virtual meetings, regular progress updates, and shared documentation platforms. You may work with finance teams, data engineers, and project managers to clarify requirements, align on deliverables, and troubleshoot data or modeling issues. Clear communication is key, as you'll often need to explain your analytical methods and Python code to non-technical stakeholders. Many freelancers also use collaborative tools like Slack, Trello, or GitHub to streamline workflow and version control.

What does a Financial Analyst Python Freelancer do?

A Financial Analyst Python Freelancer combines financial expertise with programming skills in Python to analyze data, build financial models, and automate reporting tasks. They are typically hired on a contract basis to help businesses interpret complex financial information, create custom analysis tools, and improve decision-making processes. Their work can include tasks such as data cleaning, statistical analysis, and developing algorithms for forecasting or risk assessment. Freelancers in this role often work remotely and may serve multiple clients in various industries.
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Business Intelligence Analyst

Kelso Industries

Salt Lake City, UT • On-site

Full-time

Posted yesterday

Job description

Job Summary:
Kelso Industries is a company with over 3,500 employees dedicated to delivering exceptional HVAC and mechanical solutions. They are seeking a highly analytical Business Intelligence Analyst to support data-driven decision-making by building and maintaining scalable reporting and data pipelines, focusing on Domo as their core BI platform.
Responsibilities:
• Build and maintain scalable dashboards, dataflows, and datasets in Domo.
• Manage connectors, pipelines, and platform administration (access, governance, performance).
• Establish and maintain trusted, business-ready datasets.
• Integrate data across systems using APIs, connectors, and automated pipelines.
• Transform and model data using Power Query (M language), Domo (Magic ETL/SQL), and other tools.
• Ensure reliable, efficient data flow and troubleshoot pipeline issues.
• Analyze large datasets to deliver actionable insights for Finance, Operations, and leadership.
• Support reporting on key financial and operational metrics (e.g., revenue, margin, utilization).
• Translate business needs into scalable reporting and data solutions.
• Leverage Power BI, SQL, Excel, and Python (preferred) for reporting, analysis, and automation.
• Reduce manual reporting through scalable, repeatable data processes using AI where possible.
• Ensure data accuracy, consistency, and integrity across systems.
• Maintain documentation, definitions, and governance standards for datasets.
Qualifications:
Required:
• 4–5 years of experience in Business Intelligence, Data Analytics, or a related field.
• Bachelor’s degree in Computer Science, Data Analytics, Information Systems, or related field of study.
• Hands-on experience with Domo (dashboarding, ETL/dataflows, dataset management).
• Strong experience with Power Query (M language) for data transformation and automation.
• Advanced Excel skills, including Power Query.
• Experience working with large, complex datasets.
• Proficiency in SQL and data modeling concepts.
• Experience integrating data from multiple sources using APIs, connectors, or ETL tools.
• Experience with Power BI for reporting and visualization.
Preferred:
• Experience supporting Finance or FP&A teams with financial and operational reporting.
• Experience with building and supporting AI analytic tools.
• Familiarity with key financial metrics (revenue, margin, forecasting, etc.).
• Experience with Python for data analysis, automation, or API interaction.
• Familiarity with REST APIs, JSON, and modern data integration patterns.
• Exposure to data warehousing or cloud data platforms.
• Experience integrating data from ERP, HCM, CRM, or other enterprise systems.
• Experience in construction, field services, or project-based environments is a plus.
Company:
Kelso Industries is a conglomeration of market-leading companies and their executives who offer comprehensive HVAC, and plumbing services. Founded in 2021, the company is headquartered in Phoenix, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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