2

Remote Data Analytics Consultant Jobs in Colorado

Data analytics and relevant programming languages a plus TEAMWORK & COLLABORATION * Proactive ... Ability to work as part of and with remote cross-functional and cross-cultural teams * Build strong ...

Solution Architect - Remote

Denver, CO · Remote

$112K - $193K/yr

From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of ... Provide expert Technology Consultation, Application Portfolio Management, and Vendor Management to ...

New

Delivery Engineer | Splunk (W2PE)

Denver, CO · Remote

$84K - $113K/yr

A minimum of 3 years of current experience in technical consulting or big data analytics. * Ability ... This is a remote, contract position and eligible candidates must be located in the United States.

Showing results 21-40

Remote Data Analytics Consultant information

What are the key skills and qualifications needed to thrive as a remote data analytics consultant?

To thrive as a Remote Data Analytics Consultant, you need expertise in data analysis, statistical modeling, and data visualization, typically supported by a degree in a quantitative field such as statistics, computer science, or mathematics. Familiarity with tools like SQL, Python, R, Tableau, and cloud data platforms, as well as relevant certifications (e.g., Google Data Analytics Certificate), is highly beneficial. Strong problem-solving, communication, and self-management skills are essential for working independently and delivering actionable insights to clients. These skills and qualifications enable consultants to effectively interpret complex data and provide valuable solutions in a remote, client-focused environment.

What does a remote data analytics consultant do?

A Remote Data Analytics Consultant helps organizations analyze and interpret complex data to inform business decisions, working from a location outside the client's physical office. They use statistical tools, data visualization, and data modeling techniques to uncover patterns, trends, and insights. Their responsibilities often include data gathering, cleaning, analysis, and presenting findings to stakeholders in a clear and actionable way. Remote consultants collaborate with teams virtually, providing expertise on projects ranging from business intelligence to predictive analytics, and may also advise on data strategy and best practices.

How do remote data analytics consultants typically collaborate with clients and internal teams while working off-site?

Remote Data Analytics Consultants often use a combination of video conferencing, collaborative dashboards, and project management tools to maintain close communication with clients and internal stakeholders. Regular virtual meetings are standard for discussing project goals, progress updates, and data insights. Effective consultants proactively share findings, respond to questions in a timely manner, and ensure data security protocols are followed when exchanging sensitive information. This collaborative approach helps bridge the distance and fosters strong, productive relationships across distributed teams.

What is the difference between Remote Data Analytics Consultant vs Remote Data Analyst?

AspectRemote Data Analytics ConsultantRemote Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like CAP, Microsoft Certified Data AnalystBachelor's in Data Science, Statistics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentConsulting projects, client sites, remote teams, often project-basedIn-house or remote, supporting ongoing business operations
Employer & Industry UsageConsulting firms, tech companies, finance, healthcareCorporations, finance, healthcare, retail

The main difference is that a Remote Data Analytics Consultant typically works on client projects, providing strategic insights and recommendations, while a Remote Data Analyst focuses on analyzing data to support internal business decisions. Both roles require similar skills and certifications but differ in work scope and environment.

What are the most commonly searched types of Data Analytics Consultant jobs in Colorado? The most popular types of Data Analytics Consultant jobs in Colorado are:
What are popular job titles related to Remote Data Analytics Consultant jobs in Colorado? For Remote Data Analytics Consultant jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Remote Data Analytics Consultant jobs? Cities in Colorado with the most Remote Data Analytics Consultant job openings:
Infographic showing various Remote Data Analytics Consultant job openings in Colorado as of August 2026, with employment types broken down into 11% Internship, 79% Full Time, 5% Temporary, and 5% Contract. Highlights an 100% Remote job distribution.

US Health Analytics Data Engineering Team Leader

Aon Corporation

Denver, CO • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Aon rating

8.1

Company rating: 8.1 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

59th of 150 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