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Performance Data Analyst Jobs in Colorado (NOW HIRING)

Business Data Analyst II

Englewood, CO · On-site

$63K - $90K/yr

Develop and monitor performance dashboards that track key performance indicators across multiple ... Advanced analytical and statistical modeling skills to define operational problems, extract data ...

Design and deliver analytics solutions, dashboards, and insights to monitor product performance. * Enable real-time visibility into product health and user behavior. * Partner with engineering, data ...

New

Design and deliver analytics solutions, dashboards, and insights to monitor product performance. * Enable real-time visibility into product health and user behavior. * Partner with engineering, data ...

Performance Optimization : Provide data-driven recommendations to improve business processes, efficiency, and performance. * Predictive Analytics : Utilize statistical modeling and machine learning ...

Data Insights Analyst II

Denver, CO · On-site

$67K - $86K/yr

Performance Optimization : Provide data-driven recommendations to improve business processes, efficiency, and performance. * Predictive Analytics : Utilize statistical modeling and machine learning ...

Help reproduce issues and gather data for escalation and resolution. Performance Testing & Analysis * Execute standardized benchmark tests aligned to defined customer workflows. * Support execution ...

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Showing results 1-20

Performance Data Analyst information

See Colorado salary details

$35.8K

$86.9K

$143K

How much do performance data analyst jobs pay per year?

As of Jul 23, 2026, the average yearly pay for performance data analyst in Colorado is $86,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $102,000.00 per year, depending on experience, location, and employer.

What does a Performance Data Analyst do?

A Performance Data Analyst collects, processes, and analyzes data to evaluate the effectiveness and efficiency of business operations, projects, or employee performance. They use statistical tools and data visualization techniques to identify trends, areas for improvement, and opportunities for optimization. Their insights help organizations make informed decisions to enhance productivity and achieve strategic goals. Performance Data Analysts often collaborate with other teams to support data-driven decision-making and reporting.

How does a Performance Data Analyst typically interact with other departments within an organization?

Performance Data Analysts frequently collaborate with various teams, including operations, finance, and management, to gather relevant data and provide actionable insights. They often participate in cross-functional meetings to discuss findings and recommend strategies for performance improvement. Effective communication skills are essential, as analysts must translate complex data trends into clear, practical recommendations tailored to the needs of different stakeholders. This collaborative environment helps ensure that data-driven decisions are integrated into business processes across the organization.

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

To thrive as a Performance Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in data science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting insights. These skills ensure accurate performance measurement, actionable insights, and informed decision-making within the organization.

What is the difference between Performance Data Analyst vs Data Analyst?

AspectPerformance Data AnalystData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; proficiency in data toolsBachelor's in similar fields; strong analytical skills
Work EnvironmentFocus on performance metrics, operational data, and KPIsBroader data analysis across various domains and projects
Employer & Industry UsageUsed in corporate, sports, or government sectors to improve performanceWidely used across industries for general data insights

The Performance Data Analyst specializes in analyzing operational and performance metrics to optimize processes, while the Data Analyst has a broader role in interpreting various data types across multiple domains. Both roles require similar skills and education but differ in focus and application.

Infographic showing various Performance Data Analyst job openings in Colorado as of July 2026, with employment types broken down into 86% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $86,898 per year, or $41.8 per hour.
Business Data Analyst II

Business Data Analyst II

EchoStar

Englewood, CO • On-site

$63K - $90K/yr

Full-time

Medical, Retirement

Posted 8 days ago


EchoStar rating

7.1

Company rating: 7.1 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

53rd of 83 rated telecommunications companies


Job description

Company Summary

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.
Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.

The In-Home Services Corporate team is devoted to supporting thousands of talented employees in delivering the industry’s best products and solutions. Constantly refining our best-in-class service, IHS Corporate manages the behind-the-scenes operations to ensure a seamless customer experience through analytics, project management and training initiatives.

Job Duties and Responsibilities

Candidates must be willing to participate in at least one in-person interview.

This position in the Command Center Organization within In Home Services focuses on optimizing field efficiency and logistics flows across distribution and manufacturing sites. The role resolves complex operational challenges by analyzing forecasts and planning the forward and reverse supply chain pipeline for equipment. Key objectives include driving cost reduction, ensuring resource capacity alignment, and delivering data-backed operational insights to leadership. Success depends on maintaining strict accuracy, meeting tight timelines, and facilitating clear cross-functional communication.

What Success Looks Like (Objectives):

  • Analyze large, complex datasets using SQL, Python, R, and Tableau to deliver actionable operational insights and reduce overall logistics costs
  • Create and maintain advanced forecasting and headcount planning models to ensure accurate budgeting and variance analysis
  • Lead cross-functional alignment meetings with Supply Chain, Manufacturing, and Distribution partners to establish unified operational plans
  • Develop and monitor performance dashboards that track key performance indicators across multiple regional sites
  • Formulate strategic recommendations for continuous improvement to present directly to field management and executive leadership
  • Leverage predictive analytics and AI tools to automate reporting processes, improve forecasting precision, and scale data operations
Skills, Experience and Requirements

Core Skills and Competencies (What you’ll bring):

  • Advanced analytical and statistical modeling skills to define operational problems, extract data, and draw valid conclusions
  • Deep technical expertise in data manipulation tools, specifically SQL, Python, R, and Tableau
  • AI literacy and application skills to integrate machine learning models and automated data processing into daily workflows
  • Strong professional communication skills to translate complex data into clear, concise, and executive-ready reports
  • Critical experience managing large-scale datasets and evaluating supply chain or logistics workflows in a high-volume business environment
  • Adaptability and an innovative mindset to navigate operational changes, manage risks, and implement continuous improvements

Additional Qualifications:

  • Prior experience working within a corporate supply chain, logistics, or manufacturing environment
  • Proficiency in designing and deploying interactive Tableau dashboards for business stakeholders
  • Familiarity with advanced programming languages (R, Python, SQL) applied to predictive forecasting

Minimum Requirements:

  • Bachelor’s Degree in Mathematics, Statistics, Computer Science, Business Analytics, or a related quantitative field
  • 3 years of professional experience manipulating large datasets and translating data into actionable business insights
  • Advanced Microsoft Office or Google Suite applications, including high-level formulas and file linking
  • Data modeling and statistical analysis methodologies
  • Database querying and dataset manipulation

Visa sponsorship not available for this role

Benefits

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits.

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)


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