1

Data Analyst Project Manager Jobs in Colorado (NOW HIRING)

Extract, analyze, and interpret complex datasets to support strategic decision-making. * Develop ... Support master data management initiatives across operational assets and well data. * Promote best ...

... data utilizing programming software (e.g., Qualtrics or Decipher) and Excel. They offer performance ... analytics, project management and human resources) Location: On-site (Denver) or Remote depending ...

... Data Management & Quality * Partner with the Data Engineering team to source, integrate, and ... Proven ability to independently scope and lead complex data analysis projects * Experience ...

... Data Management & Quality * Partner with the Data Engineering team to source, integrate, and ... Proven ability to independently scope and lead complex data analysis projects * Experience ...

Project Management, Data Analysis, Contract Negotiation, Proposal Writing, MS Office JOB SUMMARY: • For now this is a temporary full time 4 month assignment with possibility for extension. • Only ...

Attention to detail Open to instruction Holds Customer Service as a priority Project Management Experience Meeting Minute Taking Listening Writing Intelligent Questioning Business Analyst Experience ...

... 500 Project Manager/Business Analyst Details:The PM/BA role is multifaceted. As a PM, this role entails the overall management of a project throughout its lifecycle. The PM is responsible for ...

Research, collect, and analyze project data to track key metrics and generate insightful reports on budget status, forecasts, and other management requirements. Use this analysis to recommend ...

New

Clinical EHR Data Analyst

Durango, CO · On-site

$24.87 - $49.85/hr

Analyze and document business requirements for EHR projects; translate workflows into functional ... and manage system updates. * Implement and oversee system testing, user training, and ...

Clinical EHR Data Analyst

Durango, CO · On-site

$24.87 - $49.85/hr

Analyze and document business requirements for EHR projects; translate workflows into functional ... and manage system updates. * Implement and oversee system testing, user training, and ...

Data Analyst I

Englewood, CO · Hybrid

$65K - $75K/yr

Help manage transition from legacy systems into more efficient systems and solutions. * Identify ... analysts and decision makers. * 2+ years of experience in a data-related role with working ...

Data Analyst I

Englewood, CO · Hybrid

$65K - $75K/yr

Help manage transition from legacy systems into more efficient systems and solutions. * Identify ... data from internal and external sources to provide insight to analysts and decision makers.

Showing results 41-60

Data Analyst Project Manager information

See Colorado salary details

$35.8K

$86.9K

$143K

How much do data analyst project manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data analyst project manager 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.

Can a data analyst be a project manager?

A data analyst can transition into a project management role by developing skills in leadership, communication, and project planning. While data analysts typically focus on data interpretation and reporting, project managers oversee project execution, timelines, and team coordination, often requiring certifications like PMP. Combining technical expertise with project management skills can enable a data analyst to take on project management responsibilities.

What are the key skills and qualifications needed to thrive as a data analyst project manager?

To thrive as a Data Analyst Project Manager, you need expertise in data analysis, project management methodologies, and a relevant degree such as in statistics, computer science, or business. Familiarity with data visualization tools (e.g., Tableau, Power BI), project management software (e.g., Jira, Asana), and certifications like PMP or CAPM are often required. Strong communication, problem-solving, and leadership skills help you bridge technical teams and stakeholders while managing timelines and expectations. These abilities ensure that data-driven projects are executed efficiently, deliver actionable insights, and meet organizational goals.

What is the difference between Data Analyst Project Manager vs Data Analyst?

AspectData Analyst Project ManagerData Analyst
Primary RoleOversees data projects, manages teams, and ensures project deliveryAnalyzes data, creates reports, and provides insights
Required SkillsProject management, data analysis, communicationData analysis, statistical skills, visualization
CertificationsPM certifications (e.g., PMP), data analysis toolsData analysis certifications (e.g., Microsoft, SAS)
Work EnvironmentProject teams, cross-functional collaborationData-focused teams, analytics departments

The main difference is that a Data Analyst Project Manager combines project management with data analysis skills to lead data initiatives, while a Data Analyst primarily focuses on analyzing data and generating insights. The Project Manager role involves overseeing projects from start to finish, coordinating teams, and ensuring timely delivery, whereas the Data Analyst role centers on data interpretation and reporting.

How do data analyst project managers balance analytical work with project management responsibilities?

Data Analyst Project Managers often split their time between overseeing project timelines and deliverables, and performing or reviewing data analysis tasks. This dual focus means they must prioritize effective communication and delegation, ensuring that project goals are met while maintaining high standards for data quality and insights. Collaboration with data analysts, stakeholders, and other project managers is essential, as they often facilitate meetings, translate technical findings into actionable recommendations, and resolve obstacles that might affect the project's progress. Successfully managing both aspects requires strong organizational skills and the ability to adapt to shifting priorities.

Who earns more, a data analyst or a data analyst project manager?

A data analyst project manager typically earns more than a data analyst due to additional responsibilities, leadership duties, and project management skills. Salaries can vary based on experience, industry, and location, but project managers generally have higher compensation levels in data-related roles.

What job categories do people searching Data Analyst Project Manager jobs in Colorado look for?

The top searched job categories for Data Analyst Project Manager jobs in Colorado are:

What cities in Colorado are hiring for Data Analyst Project Manager jobs?

Cities in Colorado with the most Data Analyst Project Manager job openings:

Infographic showing various Data Analyst Project Manager job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $86,898 per year, or $41.8 per hour.

Data Analyst II

Airswift

Denver, CO • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 16 days ago


Job description

Location: Denver, CO
Schedule: 9/80 (Hybrid)
Type: W2 Contract (C2C is not available)
Duration: 6 months, potential extension
Benefits: Dental, Health, Vision & 401(k)
* This position does not offer relocation assistance
About the Role
We are seeking a Senior Data Analyst to support a Drilling & Completions (D&C) organization by transforming complex operational data into actionable insights that drive efficiency, performance, and capital optimization. In this role, you will partner with engineering, operations, and leadership teams to deliver analytics, dashboards, and automated reporting solutions that support critical business decisions.
The ideal candidate is a self-starter with strong SQL and BI expertise, exceptional problem-solving skills, and the ability to communicate complex data insights to both technical and executive stakeholders.
Key ResponsibilitiesData Analysis & Insights
  • Extract, analyze, and interpret complex datasets to support strategic decision-making.
  • Develop and maintain SQL queries against enterprise and operational data systems.
  • Analyze drilling and completions performance, schedules, costs, and operational KPIs.
  • Translate technical findings into actionable business recommendations.
  • Identify trends, risks, and opportunities to improve operational performance.
Dashboard Development & Visualization
  • Build, maintain, and enhance Power BI and/or Spotfire dashboards.
  • Create intuitive visualizations for technical and non-technical stakeholders.
  • Troubleshoot reporting issues and optimize dashboard performance.
  • Ensure reporting solutions align with enterprise business intelligence standards.
  • Support ongoing reporting and data visualization initiatives.
Process Automation & Optimization
  • Design and implement automation solutions to streamline business processes.
  • Identify repetitive manual workflows and improve efficiency through automation.
  • Develop reusable SQL scripts, stored procedures, and data pipelines.
  • Continuously evaluate opportunities to optimize reporting and analytics processes.
Collaboration & Stakeholder Support
  • Partner closely with D&C engineers, operations teams, and business stakeholders.
  • Collaborate with data engineers, data scientists, and IT teams.
  • Provide timely support for ad hoc analysis and reporting requests.
  • Document data definitions, business logic, and reporting methodologies.
  • Serve as a trusted advisor for data-driven decision-making.
Data Quality & Governance
  • Develop data validation processes and perform ongoing quality control reviews.
  • Monitor data integrity and proactively identify anomalies or inconsistencies.
  • Support master data management initiatives across operational assets and well data.
  • Promote best practices in data governance and reporting accuracy.
Required QualificationsExperience
  • 3+ years of experience as a Data Analyst, Business Intelligence Analyst, or similar role.
  • 2+ years of experience writing complex SQL queries in production environments.
  • 2+ years of hands-on experience building and maintaining Power BI and/or Spotfire dashboards.
  • Experience supporting operations, engineering, or field teams in a data-intensive environment.
Technical Skills
  • Advanced SQL skills including:
    • Common Table Expressions (CTEs)
    • Subqueries
    • Joins
    • Aggregations
    • Window functions
    • String manipulation
  • Proficiency with Power BI (preferred) or Spotfire.
  • Strong understanding of relational databases and data modeling concepts.
  • Advanced Microsoft Excel skills for analysis and reporting.
  • Experience with version control tools such as Git or Azure DevOps is a plus.
Analytical & Problem-Solving Skills
  • Strong analytical, troubleshooting, and critical-thinking abilities.
  • Ability to transform large, complex datasets into meaningful business insights.
  • Exceptional attention to detail and commitment to data accuracy.
  • Comfortable working with ambiguity and evolving business requirements.
Communication & Collaboration
  • Excellent communication, presentation, and data storytelling skills.
  • Ability to communicate effectively with stakeholders at all organizational levels, including executive leadership.
  • Strong collaboration skills across technical and business teams.
  • Self-motivated with the ability to manage multiple priorities and deadlines.
Education
  • Bachelor's degree in:
    • Engineering
    • Computer Science
    • Data Science
    • Finance
    • Or a related field
Work Location
  • Ability to work a hybrid schedule in Downtown Denver, Colorado.
Preferred Qualifications
  • Drilling & Completions knowledge and/or upstream oil & gas industry experience.
  • Experience with well data management platforms such as OpenWells, Landmark, PPDM-based applications, or similar systems.
  • Understanding of oil & gas operational metrics, including:
    • Well-level data (API numbers, pads, formations, lateral lengths)
    • Drilling metrics (spud dates, drill days, directional surveys)
    • Completion metrics (stages, proppant volumes, pumping schedules, frac timelines)
  • Programming experience in Python and/or R.
  • Experience with Microsoft Power Platform (Power Automate, Power Apps).
  • Experience working with cloud platforms such as Azure or AWS.
What You'll Work WithStakeholders
  • Drilling & Completions Teams
  • Operations Teams
  • Field Personnel
  • Business Units
  • Regulatory Teams
  • Health, Safety & Environment (HSE)
Systems & Data
  • Enterprise operational and financial data systems
  • Well data management systems
  • Operational reporting platforms
Business Intelligence Tools
  • Power BI
  • Spotfire
Data Types
  • Drilling and completions data
  • Well timelines and milestone tracking
  • Operational performance metrics
  • Cost and capital performance data
Tools & Technologies
  • SQL Server Management Studio (SSMS)
  • SQL Query Tools
  • Power BI
  • Spotfire
  • Microsoft Excel
  • Git
  • Azure DevOps