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Data Analyst Project Manager Jobs in Albuquerque, NM

SCEYE INC

Data Analyst

Moriarty, NM · On-site

$85K - $110K/yr

Data Analyst Status: Full Time Location: Moriarty, NM Reports To: Chief of Technology Who Are We ... Ability to work independently and manage multiple analysis requests in a fast-paced environment.

Woolpert

Survey Project Manager

Albuquerque, NM · On-site

... data collection and analyses for various surveying and scanning tasks, ensuring seamless ... Efficient project cost control management to maximize project profitability * Multitasking: Handle ...

Cyberstar, LLC

Project Manager Senior

Albuquerque, NM · On-site

Overview Project Manager, Senior Albuquerque, NM Are you ready to enhance your skills and build ... data analytics and cloud computing. We offer an alternate solution to improving the quality and ...

Cyberstar, LLC

Project Manager Senior

Albuquerque, NM · On-site

Summary Project Manager, Senior Albuquerque, NM Are you ready to enhance your skills and build your ... include data analytics and cloud computing.   We offer an alternate solution to improving the ...

Woolpert

Survey Project Manager

Albuquerque, NM · On-site

... data collection and analyses for various surveying and scanning tasks, ensuring seamless ... Efficient project cost control management to maximize project profitability * Multitasking: Handle ...

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All JobsData Analyst Project JobsData Analyst Project Manager JobsData Analyst Project Manager Jobs in Albuquerque, NM

Data Analyst Project Manager information

See Albuquerque, NM salary details

$33K

$80.1K

$131.8K

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

As of Aug 24, 2026, the average yearly pay for data analyst project manager in Albuquerque, NM is $80,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $94,000.00 per year, depending on experience, location, and employer.

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.

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.

Can a data analyst be a project manager?

A data analyst can transition into a project management role if they develop skills in leadership, planning, and communication, often supported by certifications like PMP or Agile. While the roles have different core focuses, combining analytical expertise with project management skills can enable a data analyst to effectively lead projects involving data-driven initiatives.

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

Data analyst project managers typically earn higher salaries than data analysts due to their additional responsibilities in overseeing projects, managing teams, and strategic planning. Salary differences also depend on experience, industry, and certifications like PMP or advanced analytics skills, with project managers often earning a premium for leadership roles.

What are popular job titles related to Data Analyst Project Manager jobs in Albuquerque, NM?

For Data Analyst Project Manager jobs in Albuquerque, NM, the most frequently searched job titles are:

What job categories do people searching Data Analyst Project Manager jobs in Albuquerque, NM look for?

The top searched job categories for Data Analyst Project Manager jobs in Albuquerque, NM are:

Data Analyst Project Manager jobs near you
Infographic showing various Data Analyst Project Manager job openings in Albuquerque, NM as of August 2026, with employment types broken down into 3% As Needed, 89% Full Time, and 8% Part Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $74,502 per year, or $35.8 per hour.

Data Analyst

SCEYE INC

Moriarty, NM • On-site

$85K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 9 days ago

Job description

Data Analyst


Status: Full Time

Location: Moriarty, NM

Reports To: Chief of Technology


Who Are We:

Sceye is a high-growth technology company, building the next generation of instant communications, imaging and remote sensing infrastructure through stratospheric platforms.


Our lighter-than-air high-altitude platform systems (LTA HAPS) are capable of maintaining position over an operational area in the stratosphere (altitudes of 18–21km). They can carry multiple telecommunications, imaging and remote sensing payloads, providing unique functionality, cost, environmental and societal advantages.


Our HAPS can be deployed in a matter of days and at a fraction of the cost of traditional infrastructure solutions. This makes them an ideal solution for providing telecommunications connectivity, emergency solutions in the event of natural or other disasters, environmental and infrastructure monitoring, Earth observation and a range of defense applications.


Our customers & partners include some of the largest global telecommunications companies, infrastructure operators, climate researchers, civil and defense agencies.


At Sceye, we aim high, and we want you to join us at the stratospheric edge of innovation. As part of our mission-driven team, you'll contribute to building breakthrough technologies that are changing the way we connect and observe the world. We are looking for individuals who bring not only deep expertise but also bold vision and an unwavering commitment to excellence.


Position Summary:

Sceye is seeking a detail-oriented Data Analyst to support flight test, engineering, and business teams with data-driven insights. This role will work with telemetry, sensor, and operational data generated by our stratospheric platforms, helping teams make informed decisions on vehicle performance, mission readiness, and business operations.


What You’ll Do:

  • Collect, clean, and analyze telemetry and sensor data from flight tests and ground operations.
  • Build dashboards and reports to track vehicle performance, mission metrics, and operational KPIs.
  • Partner with Flight Test, Systems Engineering, and Avionics teams to answer data-driven questions about vehicle performance.
  • Support post-flight data reduction and analysis to inform engineering decisions.
  • Maintain and improve data pipelines that move telemetry and operational data into analysis-ready formats.
  • Perform statistical analysis to identify trends, anomalies, and areas for improvement.
  • Document data definitions, sources, and analysis methodology for internal use.
  • Collaborate with software engineering teams to improve data quality and availability.
  • Support business and operations teams with ad hoc reporting and analysis requests.
  • Present findings clearly to both technical and non-technical stakeholders.


What We're Looking For:

  • Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, or related field, or equivalent experience.
  • 2-4 years of experience in a data analyst or similar analytical role.
  • Proficiency in SQL and at least one analysis/scripting language such as Python or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI, or similar).
  • Strong understanding of statistics and data quality principles.
  • Excellent attention to detail and ability to work with large, messy datasets.
  • Strong communication skills, including the ability to explain analysis to non-technical audiences.


Preferred Qualifications:

  • Experience working with time-series or telemetry data, especially from sensors or flight/test systems.
  • Familiarity with aerospace, engineering, or manufacturing data environments.
  • Experience with data pipeline or ETL tools.
  • Exposure to machine learning or predictive analytics techniques.


Knowledge, Skills & Abilities:

  • Strong analytical and problem-solving mindset with curiosity about the underlying data.
  • Ability to work independently and manage multiple analysis requests in a fast-paced environment.
  • Clear and effective written and verbal communication skills.
  • Comfortable working with engineers, operators, and business stakeholders alike.
  • Detail-oriented with a commitment to data accuracy and integrity.


Physical Requirements:

  • Primarily an office-based role involving extended periods at a computer workstation.
  • Occasional visits to hangar or production facilities to understand data sources.
  • Ability to walk throughout office and production facilities as needed.


What We Offer:

At Sceye, we're building more than high-altitude platforms—we're building a workplace where people (and their pups) thrive. Here's what you'll enjoy:


  • Chef-Prepared Lunches – Fresh, onsite meals to keep you fueled and focused.
  • Snacks & Refreshments – Enjoy a variety of snacks and drinks available throughout the day.
  • Wellness Perks – Access to a gym, pickleball court, and an outdoor dog kennel.
  • Dog-Friendly Environment – Bring your four-legged friends to work and enjoy a pet-welcoming space.
  • Comprehensive Health Coverage – Medical, dental, vision, and disability insurance, with over 82% of premiums covered—and 100% for everything else.
  • 401(k) with Match – Company contributions that are yours from day one.
  • High-Performance Culture – Join a collaborative, inclusive environment where your work helps shape the future of aerospace.


Equal Opportunity Employer:

Sceye is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, disability, veteran status, or any other legally protected status.


We encourage individuals from all backgrounds to apply, especially those who bring unique perspectives and experiences that can help us grow and innovate. If you require reasonable accommodation during the application or interview process, please contact us—we're happy to assist.