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Remote Analytics Jobs in Highlands Ranch, CO (NOW HIRING)

GIS Analyst

Lafayette, CO · Remote

$28.85 - $43.27/hr

This is a fully remote position reporting to the Mapping Director / GIS Manager, with no in-office ... A GIS Analyst can grow into a Senior GIS Analyst and, with experience and demonstrated leadership ...

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Remote Analytics information

See Highlands Ranch, CO salary details

$63.5K

$130K

$183.7K

How much do remote analytics jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote analytics in Highlands Ranch, CO is $129,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,900.00 and $161,100.00 per year, depending on experience, location, and employer.

What is a remote analytics professional?

A Remote Analytics job involves analyzing data and generating insights for an organization while working from a location outside of the traditional office, such as your home or another remote setting. Professionals in this field use statistical tools, data visualization, and reporting software to help companies make data-driven decisions. Their responsibilities can include gathering data, performing analyses, creating dashboards, and presenting findings to stakeholders—all accomplished through digital collaboration tools. This role is ideal for individuals who are comfortable working independently and have strong analytical and technical skills.

How do remote analytics professionals typically collaborate with cross-functional teams while working off-site?

Remote analytics professionals frequently collaborate with product managers, engineers, and business stakeholders through virtual meetings, shared dashboards, and collaborative project management tools. Effective communication and documentation are key to ensuring clear understanding of analytical findings and project goals. Many organizations use cloud-based platforms that allow real-time data sharing and feedback, enabling remote analytics teams to stay integrated with on-site colleagues and decision-makers. Regular check-ins and clear reporting structures also help maintain strong connections and accountability.

What are the key skills and qualifications needed to thrive as a remote analytics professional, and why are they important?

A Remote Analytics professional needs strong analytical skills, proficiency in data interpretation, and usually a background in statistics, mathematics, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau or Power BI is typically required, along with experience in cloud-based analytics environments. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for collaborating across remote teams and presenting insights effectively. These skills and qualities enable professionals to extract actionable insights from data, drive decision-making, and succeed in a remote work setting.

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

AspectRemote AnalyticsRemote Data Analyst
Required CredentialsBachelor's in Analytics, Data Science, or related fields; often certifications in analytics toolsBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentPrimarily uses analytics platforms, programming languages, and visualization tools remotelyFocuses on data interpretation, reporting, and visualization remotely
Employer & Industry UsageUsed across tech, finance, marketing, and consulting firms for strategic insightsCommon in finance, healthcare, and marketing sectors for data reporting

Remote Analytics and Remote Data Analyst roles share overlapping skills and work environments, but Remote Analytics often involves more advanced data modeling and strategic insights, while Remote Data Analysts focus on data interpretation and reporting. Both roles are vital in data-driven industries and frequently searched together by job seekers.

Can you work remotely in data analytics?

Remote data analytics jobs are common and often involve analyzing large datasets using tools like Excel, SQL, or Python. Many employers offer remote positions with flexible schedules, requiring strong communication skills and proficiency with data visualization tools. Certification and experience can enhance remote work opportunities in this field.

What are the most commonly searched types of Analytics jobs in Highlands Ranch, CO?

The most popular types of Analytics jobs in Highlands Ranch, CO are:

What are popular job titles related to Remote Analytics jobs in Highlands Ranch, CO?

For Remote Analytics jobs in Highlands Ranch, CO, the most frequently searched job titles are:

What cities near Highlands Ranch, CO are hiring for Remote Analytics jobs?

Cities near Highlands Ranch, CO with the most Remote Analytics job openings:

Resource Management & Analytics, WFM

Gusto, Inc.

Denver, CO • Remote

$98K - $121K/yr

Full-time

Re-posted 2 days ago


Key responsibilities

  • Build and maintain optimized, multi-department schedules to meet service level targets.

  • Interpret performance signals and intraday data to make strategic staffing decisions and manage queue routing changes.

  • Design, build, and improve WFM automation systems, including alert systems, reports, dashboards, and workflow integrations.


Gusto rating

8.0

Company rating: 8.0 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

About the Role:

Gusto is looking for a team-oriented, analytically-driven Workforce Management Analyst who loves strategically thinking outside the box to solve complex contact center challenges. You will report into the Workforce Management (WFM) team and serve as an integral contributor to scaling operations and propelling Gusto to the next level of success.

The WFM Analyst is a forward-looking role that bridges planning and performance across scheduling and intraday operations. As automation increasingly handles routine monitoring tasks, this role focuses on higher-order work: designing the systems and workflows that power intraday operations, interpreting performance signals to drive strategic decisions, and building the next generation of WFM tooling. This position places a strong emphasis on proactive thinking, AI fluency, and the ability to translate data into action - grounded in industry best practices (COPC, ICMI, SWPP).

Schedule Note: Coverage hours are between 6am-6pm MT

Here's what you'll do day-to-day:

  • Build and maintain optimized, multi-department schedules; manage time off and non-productive activities to achieve service level targets across all contact channels.
  • Interpret automated performance signals and intraday data to make strategic staffing decisions - including queue routing changes, skill adjustments, and escalations - that protect service levels and customer experience.
  • Facilitate daily and weekly performance reviews with operations leaders: identify root causes of variance (volume, AHT, shrinkage), recommend corrective actions, and drive follow-through to improve staffing outcomes.
  • Manage queue and skill routing changes - including agent reassignment and cross-training decisions - to align staffing with demand and maintain service level achievement.
  • Design, build, and continuously improve WFM automation - including intraday alert systems, push reports, dashboards, and workflow integrations - using AI tools and scripting to scale the team's capacity, reduce manual effort, and advance next-generation WFM capabilities.
  • Communicate proactively - verbally and in writing - with internal stakeholders and external vendors to surface staffing impacts, propose mitigations, and deliver data-driven insights to leadership.
  • Participate in an on-call PagerDuty rotation to monitor and respond to real-time alerts - including system outages, service level breaches, and routing failures - ensuring rapid escalation and resolution during off-hours incidents.
  • Serve as a system administrator for WFM and routing tools - making and driving configuration and routing changes under the guidance of the admin/systems teams - acting as the support layer that operationalizes tooling and routing changes.
  • Provide leadership and accountability across the team - upholding team standards, taking ownership of outcomes, and driving work forward across scheduling and intraday operations.
  • Serve as a data analytics subject-matter expert - surfacing actionable, meaningful data and influencing internal stakeholders and customers toward decisions we can act on.

Here's what we're looking for:

  • 7-8+ years of contact center WFM experience spanning scheduling, intraday, operational reporting.
  • AI fluency required: Demonstrated ability to adopt and operationalize AI tools in a WFM or contact center context; hands-on experience building automations (alert systems, reporting pipelines, workflow integrations). Gusto is an AI-forward company and active AI use is expected daily.
  • Strong analytical and data visualization skills; demonstrated experience building dashboards and interactive reporting tools to surface WFM insights for operations and leadership.
  • Demonstrated experience with WFM platforms and a track record of quickly learning and adopting new tools and technologies.
  • Excellent judgment, communication, and problem-solving skills - able to translate complex data into clear, actionable recommendations for stakeholders at all levels.
  • Demonstrated leadership and accountability - able to set standards, influence outcomes, and drive results across a team.
  • Demonstrated track record of owning WFM automation or tooling initiatives end-to end.
  • Data analytics subject-matter expertise - turning data into clear, actionable insights that influence stakeholder and customer decisions; hands-on system administration/configuration of WFM and routing tools.
  • Familiarity with COPC, ICMI, and/or SWPP standards.

The cash compensation range for this role is $105,000/yearly to $129,00/yearly in Denver and Las Vegas, and most remote locations, and $98,775/yearly to $121,000/yearly in Phoenix. Remote locations will vary based on our geographical pay approach. Final offer amounts are determined by multiple factors, including candidate location, experience and expertise, and may vary from the level and amounts listed above.


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