1

Business Analyst Sql R Python Jobs in Boise, ID (NOW HIRING)

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

The J.R. Simplot Company is a diverse, privately held global food and agriculture company ... This role applies developed subject matter knowledge to solve common and complex business issues ...

Sr. Financial Analyst

Boise, ID

$81K - $101K/yr

Power BI, Excel/VBA, SQL, Power Query, Google BigQuery, or similar approved technologies ... Leads special financial and business-related studies as needed to support project objectives.

Sr. Financial Analyst

Boise, ID · On-site

$81K - $101K/yr

Power BI, Excel/VBA, SQL, Power Query, Google BigQuery, or similar approved technologies ... Leads special financial and business-related studies as needed to support project objectives.

Data Engineer III

Boise, ID · On-site

$99K - $118K/yr

The J.R. Simplot Company is a diverse, privately held global food and agriculture company ... Python or SQL. • Experience with Azure DevOps, Databricks, SQL, and Data Modeling. • Strong ...

Digital Analyst Internships

Boise, ID

$93K - $110K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Meridian, ID · On-site

$92K - $109K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Boise, ID · On-site

$93K - $110K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Meridian, ID

$92K - $109K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Nampa, ID

$87K - $103K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Nampa, ID · On-site

$87K - $103K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

... of the business * Analyze and interpret data to increase system functionality and efficiency ... Create and maintain dashboards using SQL Required Education and Experience * Bachelor's degree in ...

... of the business * Analyze and interpret data to increase system functionality and efficiency ... Create and maintain dashboards using SQL Required Education and Experience * Bachelor's degree in ...

Showing results 41-60

Business Analyst Sql R Python information

See Boise, ID salary details

$16

$45

$68

How much do business analyst sql r python jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for business analyst sql r python in Boise, ID is $45.15, according to ZipRecruiter salary data. Most workers in this role earn between $33.85 and $56.49 per hour, depending on experience, location, and employer.

What is a business analyst SQL R Python?

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.

What are the key skills and qualifications needed to thrive as a business analyst with SQL, R, and Python expertise?

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 with 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.

Full-time

Re-posted 26 days ago


Job description

Job Summary:
Technical DataAnalystuses business intelligence and reporting expertise to build the dashboards and reports ourclientsand their end users rely on to report investment portfolio information to their ownclients.These deliverables range from interactive dashboards to scheduled performance and portfolio reports and ad hoc investment analytics.Additionally, the analyst partners with clients, investment teams, and project management to understand reporting requirements and translate them into accurate, timely deliverables.Supporting data analysis, integration, and quality work underpins this reporting, ensuring the information presented is reliable and aligned with customer and company requirements.
Responsibilities:

  • Design, build, and maintaintheBI dashboards and reportsour clients and their end users usefor investor andportfolioreporting.

  • Produce accurate, timely investment and financial reporting-including performance, portfolio, and ad hoc analytics-tailored to client andend-user needs.

  • Develop data visualizations and self-service BI tools that make complex investment data clear and actionablefor clients and their end users.

  • Analyze investment and financial data, delivering insightful reports and commentary on outcomes, trends, and performance drivers.

  • Partner with clients, investment teams, and project management to gather reporting requirements and translate them intoclient-ready deliverables.

  • Combine data from multiple sources into comprehensive, reconciled datasets that support reliable reporting and analytics.

  • Build and maintain the data systems and pipelines that feed BI and reporting solutions.

  • Continuously improve data quality, reporting accuracy, and reliability to uphold the highest standards.


Required Skills:

  • Proficiency with BI and data visualization platforms (e.g., Power BI, Tableau, Looker).

  • Strong understanding of financial and investment reporting concepts, performance metrics, and portfolio analytics.

  • Experience designing and automating reporting dashboards and recurring report production.

  • Deep understanding of investment data.

  • Familiarity with cloud platforms and big data technologies (e.g., AWS, GCP, Azure).

  • Understanding of database design and data warehouse principles.

  • Knowledge of one or more programming languages (e.g.,Java, Python, VBA).

  • Proficiency in data manipulation and data cleansing techniques.

  • Knowledge of data governance and best practices in data management.

  • Continuous improvement mindset for self and team.

  • Ability to work collaboratively in a cross-functional team environment.

  • Ability to work with large datasets and perform data mining tasks.

  • Strong computer skills, including proficiency in Microsoft Office.

  • Excellent attention to detail and strong documentation skills.

  • Outstanding verbal and written communication skills.

  • Strong organizational and interpersonal skills.

  • Exceptional problem-solving abilities.


Education and Experience:

  • Bachelor's degree in data analytics, statistics, accounting,finance,computer science, or related discipline.

  • 5+ years of relevant experience inbusiness intelligence,financial/investmentreporting,data analytics,and visualization.

  • Hands-on experience with SQL and NoSQL databases.

  • Experience with data integration andETL (extract, transform, load)processes.

  • Experience with data visualization tools such as Tableau, Power BI, or D3.js.