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Business Analyst Sql R Python Jobs in Utah (NOW HIRING)

Awardco

Lead Data Scientist

Lindon, UT · On-site

The Data Operations group is responsible for delivering business insights and high-impact analyses ... Advanced experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data ...

Navitas Semiconductor

Comprehensive mastery of SQL (Database Design/Management), Python/R , Power BI , Excel VBA , and ... Ability to translate complex sales data into clear business narratives and automate repetitive ...

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What are the key skills and qualifications needed to thrive as a Business Analyst with SQL, R, and Python expertise, and why are they important?

To thrive as a Business Analyst with SQL, R, and Python expertise, you need strong analytical skills, business acumen, and a background in data analysis or a related field. Proficiency with SQL for database querying, R and Python for data manipulation and statistical analysis, and familiarity with business intelligence tools are typically required. Excellent communication, problem-solving abilities, and stakeholder management skills help you translate complex data insights into actionable business strategies. These skills ensure you can extract, interpret, and present data-driven recommendations that support informed decision-making and drive business value.

How do Business Analysts utilizing SQL, R, and Python typically collaborate with data engineering and product teams?

Business Analysts with SQL, R, and Python skills frequently work alongside data engineering teams to define data requirements, validate data pipelines, and ensure data quality for analysis. They also collaborate with product teams to translate business needs into actionable insights and develop data-driven recommendations. Regular communication is essential, as analysts often bridge the gap between technical and non-technical stakeholders, facilitating workshops or meetings to clarify requirements and present findings. This collaborative environment helps ensure that analytical solutions are both technically sound and aligned with business goals.

What are Business Analyst SQL R Python roles?

Business Analyst SQL R Python roles refer to positions where professionals analyze business data and processes using tools such as SQL for database querying, and R or Python for statistical analysis and data visualization. These analysts help organizations make data-driven decisions by extracting, interpreting, and presenting insights from large datasets. They often work closely with stakeholders to understand business requirements and translate them into technical solutions. Proficiency in SQL, R, and Python allows them to efficiently manipulate data, build predictive models, and automate reporting tasks.
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Business Intelligence Analyst

Kelso Industries

Draper, UT • On-site

Full-time

Posted 15 hours ago

Job description

Job Summary:
Kelso Industries is a company with over 3,500 employees dedicated to delivering exceptional HVAC and mechanical solutions nationwide. They are seeking a Business Intelligence Analyst to support data-driven decision-making by building and maintaining scalable reporting and data pipelines, primarily using Domo.
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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