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Business Analyst Sql R Python Jobs in Thornton, CO

DISH TV

Data Analyst II

Englewood, CO · On-site

Responsibilities : • Analyze data and provide actionable insights using SQL, Python, R, Tableau ... KPIs • Assess business operations and analyze upstream changes' impacts on logistics and ...

EchoStar

Data Analyst

Englewood, CO

$63K - $90K/yr

Our business reach spans satellite television service, live-streaming and on-demand programming ... SQL/R/Python experience preferred * Prior experience in Supply Chain is a plus Skills and ...

EchoStar

Data Analyst

Englewood, CO · On-site

$63K - $90K/yr

Our business reach spans satellite television service, live-streaming and on-demand programming ... Analyze data and provide actionable insights using SQL, Python, R, Tableau, and Microsoft/Google ...

EchoStar

Data Analyst II

Englewood, CO · On-site

$72K - $103K/yr

Our business reach spans satellite television service, live-streaming and on-demand programming ... Analyze data and provide actionable insights using SQL, Python, R, Tableau, and Microsoft/Google ...

EchoStar

Data Analyst II

Englewood, CO

$72K - $103K/yr

Our business reach spans satellite television service, live-streaming and on-demand programming ... SQL/R/Python experience preferred * Prior experience in Supply Chain is a plus Skills and ...

EchoStar

Incentives Compensation Analyst

Englewood, CO

$72K - $103K/yr

Perform "What-If" analysis to predict the financial impact of changes to the compensation structure ... Experience manipulating large datasets in a business environment required * SQL/R/Python experience ...

EchoStar

Incentives Compensation Analyst

Englewood, CO · On-site

$72K - $103K/yr

Perform "What-If" analysis to predict the financial impact of changes to the compensation structure ... Experience manipulating large datasets in a business environment required * SQL/R/Python experience ...

DaVita, Inc.

Business Analyst

Denver, CO · On-site

$57K - $85K/yr

Develop automated reporting around key business drivers ... Utilize analytical tools such as SQL, Excel, Tableau, VBA, Python, Access, etc. Problem Solving:

Judi Health

Business Analyst

Denver, CO · On-site +1

$62K - $98K/yr

Demonstratable knowledge of SQL, Excel, and other data visualization tools. * Familiarity with the ... Demonstratable knowledge of the Python programming language preferred. * Excellent communication ...

Unison Systems, Inc

Data Scientist

Greenwood Village, CO · On-site

$70 - $80/hr

... SQL/R/Python/SAS programming. * Strong experience in SQL, Python, TensorFlow, PyTorch, and cloud ... Strong analytical skills with command over advanced mathematical concepts (probability, statistics ...

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

As of Jun 24, 2026, the average hourly pay for business analyst sql r python in Thornton, CO is $48.50, according to ZipRecruiter salary data. Most workers in this role earn between $36.39 and $60.72 per hour, depending on experience, location, and employer.

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.

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 job categories do people searching Business Analyst Sql R Python jobs in Thornton, CO look for? The top searched job categories for Business Analyst Sql R Python jobs in Thornton, CO are:
What cities near Thornton, CO are hiring for Business Analyst Sql R Python jobs? Cities near Thornton, CO with the most Business Analyst Sql R Python job openings:
Business Analyst Sql R Python jobs near you

Data Analyst II

DISH TV

Englewood, CO • On-site

Full-time

Posted 21 days ago

Job description

Job Summary:
EchoStar is reimagining the future of connectivity, offering services such as satellite television and mobile plans. The Data Analyst II role within the Command Center Organization focuses on optimizing efficiency through data analysis, providing actionable insights, and collaborating with various teams to enhance customer experience and operational effectiveness.
Responsibilities:
• Analyze data and provide actionable insights using SQL, Python, R, Tableau, and Microsoft/Google Suite
• Solve problems and meet goals with advanced statistical techniques and innovative approaches
• Develop recommendations for continuous improvement for field management, executives, and partners
• Conduct short and long term data analyses to enhance customer experience and reduce costs
• Support ad-hoc projects to drive cost savings, improve quality, and increase efficiency
• Create and maintain forecasting and resource/headcount planning models supporting budgeting and variance analysis
• Lead and facilitate forecasting meetings to align stakeholders and leadership on realistic and accurate operational plans
• Collaborate with Supply Chain, Manufacturing and Distribution teams to develop dashboards and track KPIs
• Assess business operations and analyze upstream changes' impacts on logistics and operations
• Provide reports and updates to executives and partners across sites
Qualifications:
Required:
• Bachelor's degree in a quantitative field (e.g., mathematics, statistics, computer science, business analytics)
• 3-5 years of experience; or equivalent combination of education and experience
• Experience manipulating large datasets in a business environment required
• Experience translating data to actionable insights required
• Advanced knowledge of Microsoft Office or Google Suite, including high level formulas and linking of files
• Strong analytical and modeling skills
• Ability to define problems, collect data, establish facts, and draw valid conclusions
• Excellent verbal and written communication skills and the ability to communicate complex data clearly and concisely to executives
• Embrace the Adventure; willing to take risks, try innovative approaches, be adaptable to change, and learn from failures
Preferred:
• Tableau experience preferred
• SQL/R/Python experience preferred
• Prior experience in Supply Chain is a plus
Company:
Our adventure began by changing the way people watched TV, bringing DISH to where big cable wouldn’t: rural America. Founded in 1980, the company is headquartered in Englewood, USA, with a team of 10001+ employees. The company is currently Late Stage.

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