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Manager Data Analytics Engineer Jobs in Tucson, AZ

Managing master data, including creation, updates, and deletion. * Managing users and user roles ... Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information ...

Data Analyst II

Tucson, AZ · On-site

$59K - $75K/yr

Ensure proper management and control of AURA property within the assigned work area * Maintain ... Programming languages such as Python, C/C++, and/or Java * Computing environments including Linux ...

Talon is a small business engineering firm providing innovative, end-to-end, rapid-turn solutions ... Proficiency in relevant tools such as ERP systems, data analytics software, and testing frameworks.

Talon is a small business engineering firm providing innovative, end-to-end, rapid-turn solutions ... Proficiency in relevant tools such as ERP systems, data analytics software, and testing frameworks.

Duties will include but are not limited to: * Assist the AATC Data Links Program Manager in ... pilots, and assisting with engineering changes. * Understand the operation and tactical ...

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Strategic Marketing Manager, Data Centers

Tucson, AZ · On-site +1

$87.70K - $107.70K/yr

Bachelor's degree in Business, Marketing, Engineering, or a related field and 12+ years of ... Strong analytical, communication, and executivelevel presentation skills. * Ability to travel up to ...

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Manager Data Analytics Engineer information

See Tucson, AZ salary details

$42.1K

$122.6K

$167.8K

How much do manager data analytics engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for manager data analytics engineer in Tucson, AZ is $122,644.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,300.00 and $130,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager Data Analytics Engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are the most commonly searched types of Data Analytics Engineer jobs in Tucson, AZ? The most popular types of Data Analytics Engineer jobs in Tucson, AZ are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Tucson, AZ? For Manager Data Analytics Engineer jobs in Tucson, AZ, the most frequently searched job titles are:
What cities near Tucson, AZ are hiring for Manager Data Analytics Engineer jobs? Cities near Tucson, AZ with the most Manager Data Analytics Engineer job openings:
Data Science & Analytics Specialist

Data Science & Analytics Specialist

Raytheon Technologies

Tucson, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Date Posted:
2026-05-22
Country:
United States of America
Location:
US-AZ-TUCSON-801 ~ 1151 E Hermans Rd ~ BLDG 801 (External Site)
Position Role Type:
Hybrid
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
Security Clearance Type:
None/Not Required
Security Clearance Status:
Not Required
At RTX, the worlds largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.
Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.
We are seeking a skilled and motivated Business Intelligence (BI) Developer / Data Analyst to join our team. This role requires a strong background in data visualization, analysis, and report generation. You will work closely with cross-functional teams to gather data requirements, develop compelling insights, and create actionable dashboards and reports that support business decision-making. If you are passionate about data-driven solutions, innovation, and collaboration, we encourage you to apply
What You Will Do:
  • Gather, aggregate, and manage data from various sources, including SQL databases, Oracle databases, SharePoint, flat files, and other structured or unstructured formats.
  • Design, develop, and maintain interactive dashboards, reports, and visualizations using tools such as Tableau, Power BI, or similar.
  • Develop and maintain SQL queries, stored procedures, and scripts to extract, transform, and manipulate data.
  • Analyze and interpret complex data sets to identify trends, patterns, and actionable insights that inform business decisions.
  • Collaborate with stakeholders and cross-functional teams to understand data needs and provide tailored, data-driven solutions.
  • Ensure the accuracy, integrity, and security of data in all aggregation, analysis, and visualization activities.
  • Continuously improve data aggregation and visualization processes to enhance efficiency and effectiveness.
  • Participate in data governance and quality initiatives to uphold high standards of data management.

Qualifications You Must Have:
  • Typically requires a University degree or equivalent experience and a minimum of 5 years of prior relevant experience or an Advanced Degree in a related field and minimum 3 years experience.
  • U.S. Citizen - U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
  • Experience in one or more of the following data visualization, report development, and business intelligence.
  • Experience with data visualization tools such as Tableau or Power BI, or similar.

Qualifications We Prefer:
  • Analytical and problem-solving skills, with the ability to interpret complex data and present insights clearly to non-technical stakeholders.
  • Excellent communication and presentation skills.
  • Attention to detail and a commitment to data accuracy and integrity
  • Advanced degree in a related field.
  • Experience with scripting languages such as Python.
  • Experience in SQL and/or Oracle databases for data extraction and manipulation.
  • Certification in data analytics, business intelligence, or related areas.
  • Experience with ETL processes and tools.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud.
  • Experience with Agile development methodologies.

What We Offer:
Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation.
Learn More & Apply Now!
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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