2

Remote Data Analyst R Programming Jobs in Centennial, CO

Data Engineer

Englewood, CO · On-site +1

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive faster insights and reduce TTM in order to fuel Viasat growth. The day-to-day In this Software Engineer ...

Remote AI Data Architect - Public Sector Location: Preferably Colorado Duration: 6 months We are ... Advanced analytical and problem-solving skills. Preferred Skills & Experience * NIST AI Framework ...

Senior Data Engineer

Littleton, CO · On-site +1

$147K - $158K/yr

... analysis, and service availability (10% of the time). Mentor junior engineers and new team members ... programming and design problems (15% of the time). Perform processing of streaming data from ...

Financial Analyst

Denver, CO · On-site +1

$105K - $110K/yr

Proficiency in financial modeling and data analysis. * Communication and presentation skills ... This position is open for remote based candidates located outside of the Denver Metro Area

Remote (must reside within US) Ready to Make a Difference? ICF is seeking a Business Analyst for ... developers, and clients to define and organize business requirements for our quantitative data ...

Hybrid 4 days onsite, 1 remote. in Greenwood Village, CO Our client seeks a Product Analyst to ... Partner with engineering, data, and product teams to ensure accurate data collection and reporting.

next page

Showing results 1-20

Remote Data Analyst R Programming information

See Centennial, CO salary details

$35K

$85K

$139.9K

How much do remote data analyst r programming jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote data analyst r programming in Centennial, CO is $84,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,300.00 and $99,800.00 per year, depending on experience, location, and employer.

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 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 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 are the most commonly searched types of Data Analyst R Programming jobs in Centennial, CO? The most popular types of Data Analyst R Programming jobs in Centennial, CO are:
What are popular job titles related to Remote Data Analyst R Programming jobs in Centennial, CO? For Remote Data Analyst R Programming jobs in Centennial, CO, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Centennial, CO look for? The top searched job categories for Remote Data Analyst R Programming jobs in Centennial, CO are:
What cities near Centennial, CO are hiring for Remote Data Analyst R Programming jobs? Cities near Centennial, CO with the most Remote Data Analyst R Programming job openings:
Infographic showing various Remote Data Analyst R Programming job openings in Centennial, CO as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $84,995 per year, or $40.9 per hour.
US Health Analytics Data Engineering Team Leader

US Health Analytics Data Engineering Team Leader

Aon Corporation

Denver, CO • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

New


Aon rating

8.2

Company rating: 8.2 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

47th of 146 rated financial services


Job description

US Health Analytics Data Engineering Team Leader

Aon is looking for a Health Analytics Data Engineering Leader to lead a distributed data engineering team supporting US Health Analytics solutions. This experienced team leader role is responsible for translating business needs into scalable, cloud-first data solutions and leading a distributed team to deliver high-quality solutions with speed, clarity and strong engineering discipline.

Location


Preferred location of this role is Denver, CO, Chicago, IL, or Atlanta, GA with flexibility for strong candidates and other Aon offices in the US. Hybrid office schedule is the norm with fully virtual a possibility for the right candidate.

Aon is in the business of better decisions

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.

As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed.

What the day will look like

This leader owns the end-to-end medallion US Health Analytics data architecture and is accountable for scaled structured data flows and data partner integrations, enrichments and downstream processing across each stage. The team supports analytics-ready data capabilities consumed by consultants, actuaries, analytics applications and AI agents, ensuring each layer is well-governed, performant and fit for purpose. The leader is accountable for the quality, monitoring, validation, completeness, and reliability of data across the platform, and owns the design and operation of scaled, multi-way data pipelines with key partners — ingesting external and partner data into the platform and delivering trusted, enriched data back out to stakeholders following strict governance, privacy, HIPAA, SOC, contractual and cybersecurity standards.

This role serves as senior engineering leader and also leads though influence and collaboration as part of a globally distributed team. The leader will partner closely with Aon Business Services and Aon Data & Analytics engineering teams, architects and infrastructure teams ensuring Aon enterprise standards and best practices are adopted and followed for Health Analytics data.

Behavioral Expectations

Drive results: Creates clarity, establishes priorities and leads the team to deliver measurable outcomes with speed, accountability and quality.

Think strategically and practically: Understands business needs, designs for the future and makes pragmatic decisions that keep work moving forward.

Lead and develop colleagues: Builds an inclusive, high-performing team environment and develops technical talent across geographies and experience levels.

Collaborate as Aon United: Works effectively across actuarial, consulting, data science, technology, and business teams to deliver the best of Aon to clients.

Champion innovation and continuous improvement: Moves teams toward modern methods, automation, AI-enabled workflows and scalable ways of working.

Skills and experience that will lead to success

 

This role is expected to operate as a senior professional. Strong candidates will typically have:

  • Team management experience in a global enterprise environment. This role will manage data engineers and coordinate activity across a globally distributed team spanning several departments working closely with Aon Business Solutions and global Data & Analytics organization.
  • 10+ years of relevant experience in data engineering, software engineering, analytics engineering, or related technical leadership roles. Experience with Medallion architecture and operations in domain-relevant environment.
  • Deep experience designing and delivering cloud-first data engineering solutions using Apache Spark, Databricks, Python, Git, Azure DevOps, CLI tools and related platforms.
  • Strong general software engineering capability, including clean code, modular design, reusable interfaces, automated testing, CI/CD, DevOps practices and maintainable production systems.
  • Demonstrated expertise in data modeling, data architecture and scalable platform design, with the ability to make practical decisions that balance future-state architecture with timely delivery.
  • Experience with US commercial healthcare data, including plan designs, premiums & contributions, ASO fees, medical & pharmacy claims, eligibility, enrollment and related benefits data used by consultants and actuaries.
  • Knowledge of HIPAA, data privacy, data security, access controls, de-identification and related practices for sensitive health data.
  • Experience leading distributed teams, setting priorities, coaching technical colleagues and building a high-performing engineering culture.
  • Ability to translate business needs into technical roadmaps, execution plans and scalable data capabilities that improve speed, quality and operating leverage.
  • Experience with agentic AI, AI-enabled automation, or emerging engineering workflows that improve productivity, data quality, or analytics delivery.
  • Practical data governance experience such as privilege management and monitoring, cataloging, retention policies, and data sharing.
  • Capable of writing production software, but skilled at leveraging teams to deliver beyond individual effort.
  • Advanced Analytics, Structured Query Language (SQL), Data Analysis, Data Integration, Data Management, Data Mining, Data Modeling, Data Science, Data Visualization, Predictive Modeling, Project Management, Python Programming, and Statistical Analysis

Education:

  • Bachelor’s or master’s degree in computer science, data engineering, health informatics, information technology, actuarial science, mathematics, statistics or a related field, or equivalent professional experience.

For positions in San Francisco and Los Angeles, we will consider for employment qualified applicants with arrest and conviction record in accordance with local Fair Chance ordinances.

Aon is not accepting unsolicited resumes from search firms for this position. If you are a search firm, you will not be compensated in any way for your submission of a candidate, even if Aon hires that candidate.

Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.

Pay Transparency Laws:

The salary range for this position (intended for U.S. applicants) is $175,000 to $220,000 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data.  The salary may also be adjusted based on applicant’s geographic location.

This position is eligible to participate in one of Aon’s annual incentive plans to receive an annual discretionary bonus in addition to base salary.  The amount of any bonus varies and is subject to the terms and conditions of the applicable incentive plan.


A summary of all the benefits offered for this position:

Aon offers a comprehensive package of benefits for full-time and regular part-time colleagues, including, but not limited to: a 401(k) savings plan with employer contributions; an employee stock purchase plan; consideration for long-term incentive awards at Aon’s discretion; medical, dental and vision insurance, various types of leaves of absence, paid time off, including 12 paid holidays throughout the calendar year, 15 days of paid vacation per year, paid sick leave as provided under state and local paid sick leave laws, short-term disability and optional long-term disability, health savings account, health care and dependent care reimbursement accounts, employee and dependent life insurance and supplemental life and AD&D insurance; optional personal insurance policies, adoption assistance, tuition assistance, commuter benefits, and an employee assistance program that includes free counseling sessions.  Eligibility for benefits is governed by the applicable plan documents and policies.

#LI-HP1

#LI-HYBRID

2582339Qualifications:UNAVAILABLEEducation:UNAVAILABLEEmployment Type: FULL_TIME

What Aon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Aon logo

About Aon

Sourced by ZipRecruiter

Aon plc (NYSE:AON) is a leading global professional services firm providing a broad range of risk, retirement and health solutions. Our 50,000 colleagues in 120 countries empower results for clients by using proprietary data and analytics to deliver insights that reduce volatility and improve performance.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1992