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Remote Data Analyst R Programming Jobs in Colorado

You will connect strategy to execution across Data Engineering, Analytics Engineering, and Data ... remote teams * Strong change management mindset and comfort operating in evolving environments

Senior Data Engineer, Global

Denver, CO · On-site +1

$109.10K - $148.20K/yr

... remote. Vantage Data Centersis seeking a Senior Data Engineer to help evolve and scale our ... Collaborate with business analysts, data scientists, and stakeholders across Human Resources ...

Data Engineer (Remote)

Denver, CO · Remote

$117.90K - $141.50K/yr

Partner closely with product and analytics team to understand business goals and engineer solutions ... Implement and enforce data security measures and maintain data governance standards and access ...

Clinical Data Engineer

Denver, CO · Remote

$85K - $100K/yr

Clinical Data Engineer - Remote, Must Live in State of Colorado Join Carina Health Network and help ... Provide data analytics report development for specific projects as needed. * Develop data ...

SSRM Data Analytics Engineer

Englewood, CO · Remote

$113.10K - $135.80K/yr

Provides support to other SSRM analyst roles for advancing code and datasets within the department * Partners with data engineers to build improved data infrastructure * Normalizes and integrates new ...

Data Analytics Engineer

Boulder, CO · On-site +1

$95K - $115K/yr

Data Analytics Engineer -- Boulder, Colorado Full-time | Boulder, CO | No visa sponsorship available The US Analytics team is building the data foundations that power SumUp's US operations. We design ...

SSRM Data Analytics Engineer

Englewood, CO · Remote

$113.10K - $135.80K/yr

Provides support to other SSRM analyst roles for advancing code and datasets within the department * Partners with data engineers to build improved data infrastructure * Normalizes and integrates new ...

... AI Analytics & Digital Transformation team. This individual will play a key role in advancing ... Conduct data exploration, feature engineering, and model tuning to ensure accuracy, robustness, and ...

... AI Analytics & Digital Transformation team. This individual will play a key role in advancing ... Conduct data exploration, feature engineering, and model tuning to ensure accuracy, robustness, and ...

Data Analytics Engineer

Boulder, CO · On-site +1

$95K - $115K/yr

Data Analytics Engineer - Boulder, Colorado Full-time | Boulder, CO | No visa sponsorship available The US Analytics team is building the data foundations that power SumUp's US operations. We design ...

OverviewAxionova Engineering Limited is a leading company focused on civil engineering, structural ... remote employees.Assist with the implementation of cybersecurity measures to protect company data ...

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Remote Data Analyst R Programming information

What are the key skills and qualifications needed to thrive as a Remote Data Analyst specializing in R Programming, and why are they important?

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a Remote Data Analyst specializing in R Programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is a Remote Data Analyst R Programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What are the most commonly searched types of Data Analyst R Programming jobs in Colorado? The most popular types of Data Analyst R Programming jobs in Colorado are:
What are popular job titles related to Remote Data Analyst R Programming jobs in Colorado? For Remote Data Analyst R Programming jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Colorado look for? The top searched job categories for Remote Data Analyst R Programming jobs in Colorado are:
What cities in Colorado are hiring for Remote Data Analyst R Programming jobs? Cities in Colorado with the most Remote Data Analyst R Programming job openings:
Program Director, Data & Analytics

Program Director, Data & Analytics

Prologis

Denver, CO • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 hours ago


Job description

At Prologis, we don't just lead the industry-we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global commerce, seamlessly connecting the digital and physical worlds. From agile supply chains to energy solutions, our ecosystems help your business move faster, operate smarter and grow sustainably. With unmatched scale, innovation and expertise, Prologis is a category of one-not just shaping the future of logistics but building what comes next.

Job Title:

Program Director, Data & Analytics

Company:

Prologis

A day in the life

As Program Director of Data & Analytics, you will help the organization turn data into action in an AI-first world. You will connect strategy to execution across Data Engineering, Analytics Engineering, and Data Visualization, ensuring teams deliver trusted, scalable data products that enable smarter, faster decisions.

AI will be foundational to how you operate, as you identify opportunities to apply automation and agent-based workflows to improve efficiency and accelerate insight generation. You will also drive strong execution by aligning priorities, managing capacity, guiding teams toward shared outcomes, and maintaining momentum as priorities evolve.

You will oversee budgets and investments to support the highest-impact work, while shaping how the business experiences data through intuitive, scalable, self-service analytics. In close partnership with leaders, stakeholders, and external partners, you will help evolve the operating model so the organization can scale and deliver increasing value over time.

Key responsibilities include:

  • Drive AI-first adoption across Data & Analytics, identifying and implementing opportunities for AI, automation, and agent-based workflows to transform analytics and team operations
  • Run operating rhythms (planning, OKRs, delivery tracking, reporting) to drive alignment, accountability, and transparency across Data & Analytics, ensuring OKRs are clearly defined, aligned across teams, and tracked with measurable outcomes
  • Monitor delivery health, proactively identify risks, bottlenecks, and dependencies, and drive continuous improvement in execution and team performance
  • Coordinate resource allocation and prioritization across teams to balance demand, capacity, and strategic priorities, including managing trade-offs when demand exceeds capacity
  • Own financial management across the function, including budgets and forecasts spanning multiple capabilities and cost centers, ensuring investments are aligned to strategic priorities and maximize ROI
  • Manage vendor partnerships and external resources to ensure strong performance, accountability, and cost efficiency
  • Lead the Data Visualization capability, defining its evolution in an AI-first world and ensuring delivery of trustworthy, scalable, self-service analytics aligned with AI-enabled insights, including oversight of tools such as Sigma, Tableau, and ESRI
  • Promote data-driven decision-making and drive adoption of analytics through governance, communication, and change leadership
  • Ensure analytics products and services are reliable, secure, well-documented, and supported through strong production support, issue resolution, and continuous enhancement practices

Building blocks for success

Required:

  • 10+ years of experience in Data, Analytics, or Technology roles
  • 5+ years of leadership experience across cross-functional or delivery-focused organizations
  • Proven experience driving AI, automation, or advanced analytics adoption within teams or organizations
  • Proven experience managing planning cycles, OKRs, and delivery in complex environments
  • Strong understanding of modern data and analytics ecosystems (e.g., SQL, BI tools, data platforms)
  • Proven ownership of end-to-end financial management across multiple capabilities and cost centers, including budgeting, forecasting, investment prioritization, and cost optimization
  • Proven experience managing external vendors, consulting partners, and geographically dispersed teams
  • Demonstrated ability to operate across multiple teams and influence without direct authority
  • Excellent communication and stakeholder management skills

Preferred

  • Experience incorporating AI, automation, or agent-based workflows into analytics or operations
  • Experience working within Data & Analytics organizations (Data Engineering, Analytics Engineering, BI/Visualization)
  • Familiarity with platforms such as Snowflake and enterprise BI tools
  • Experience incorporating AI, automation, or agent-based workflows into analytics or operations
  • Experience with product or pod-based delivery models, including working with globally distributed and remote teams
  • Strong change management mindset and comfort operating in evolving environments
  • Demonstrate willingness and capability toleverageemerging technology, automation, and AI tools to improve efficiency, quality, and speed. Exercises sound judgment, creative thinking, and accountability for outcomes.

Hiring Salary Range of: $153,000 - $211,000. Salary and whole compensation package (bonus target & LTI (Long Term Incentives) to be determined by the candidate's location, education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

#LI-TA1

People First

Each of us working at Prologis plays an essential role in the enduring success of our company. We value people who are decisive, courageous and adaptable. While we are one company, locations and departments operate with autonomy and accountability. Individuals take the initiative here.

When you join Prologis, you work shoulder to shoulder with some of the top talent in the industry to do the best work of your career. Every employee belongs. Every employee contributes. Employees advance their careers here.

As a successful global enterprise, Prologis has never lost sight of what matters most, our strong belief that our people are the most important part of our business. And because of that, we provide a generous total rewards package and take a lot of time to focus on quality management and leadership development. People come first here.

All full-time roles in the US come with a robust benefits package which includes healthcare, dental, and vision insurance for employees and eligible dependents. Prologis also offers several other wellness, financial, and work/lifestyle-specific benefits. Our 401(k) retirement plan has a company match of 50% up to 12% of eligible compensation. We also offer generous PTO with a starting accrual of 22 days a year in addition to paid holidays and volunteer time.

All job offers are contingent upon successful completion of background verification. Prologis is an Equal Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religions, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.

Employment Type:

Full time

Location:

Denver, Colorado

Additional Locations:

Atlanta, Georgia, Cerritos, California, Dallas, Texas, East Rutherford, New Jersey, Las Vegas, Nevada, Los Angeles, California, Nashville, Tennessee, New York, New York, San Francisco, California

Prologis logo

About Prologis

Sourced by ZipRecruiter

Prologis is a global leader in logistics real estate, specializing in the development, ownership, and management of high-quality industrial properties. With a vast portfolio of distribution centers, warehouses, and logistics facilities, Prologis plays a crucial role in supporting the global supply chain and enabling efficient commerce. As the world's largest owner of logistics real estate, Prologis provides state-of-the-art facilities strategically located in key logistics hubs across the globe. Prologis properties are designed to meet the evolving needs of e-commerce, retail, manufacturing, and logistics companies, offering modern amenities, advanced technology, and sustainable features.

Industry

Real estate

Company size

1,001 - 5,000 Employees

Headquarters location

San Francisco, CA, US

Year founded

1983

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