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Manager Data Analytics Engineer Jobs in Arizona (NOW HIRING)

As the Manager of Data Technology, you will play a pivotal role in shaping the future of our data ... engineers, data scientists, and analysts. Additional Job Considerations * This role requires ...

As the Manager of Data Technology, you will play a pivotal role in shaping the future of our data ... engineers, data scientists, and analysts. Additional Job Considerations * This role requires ...

Associate, Provider Data Analytics

Tempe, AZ · Hybrid

$87.19K - $114.43K/yr

You will report into the Senior Manager, Provider Data Operations. Work Location: This position is ... Bachelor's degree in Engineering, Business Administration, or other related field * Lean Six Sigma ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Data Engineer

Phoenix, AZ · On-site

$111.40K - $133.80K/yr

Data Engineer Location : Phoenix AZ (its day 1oniste) Skills : AI, Data Analytics, MS SQL, Power ... highly analytical and detail-oriented professional to join our Asset Management Data-Driven ...

Associate, Provider Data Analytics

Tempe, AZ · Hybrid

$87.19K - $114.43K/yr

You will report into the Senior Manager, Provider Data Operations. Work Location: This position is ... Bachelor's degree in Engineering, Business Administration, or other related field * Lean Six Sigma ...

Collaborate with cross-functional teams including data scientists, engineers, business analysts ... Expertise in defining, managing, and automating data pipelines / workflows. * Excellent ...

Associate, Provider Data Analytics

Tempe, AZ · On-site

$87.19K - $114.43K/yr

You will report into the Senior Manager, Provider Data Operations. Work Location: This position is ... Bachelor's degree in Engineering, Business Administration, or other related field * Lean Six Sigma ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

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Manager Data Analytics Engineer information

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 Arizona? The most popular types of Data Analytics Engineer jobs in Arizona are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Arizona? For Manager Data Analytics Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Arizona look for? The top searched job categories for Manager Data Analytics Engineer jobs in Arizona are:
What cities in Arizona are hiring for Manager Data Analytics Engineer jobs? Cities in Arizona with the most Manager Data Analytics Engineer job openings:
Data Analytics Intern

Data Analytics Intern

Intuitive Machines LLC

Phoenix, AZ • On-site

Other

Posted 2 days ago


Job description

Data Analytics Intern

Phoenix, Arizona

About Intuitive Machines

Intuitive Machines is an innovative and cutting-edge space company making cislunar space accessible to both public and private customers. Our mission is to further science and exploration, communications, and economic progress from the Earth to the Moon and beyond. With the first commercial lunar landing in history, multiple NASA lunar missions in development, and additional private missions on our manifest, we pride ourselves in supporting our customers and the nation in paving the way to return humans to the surface of the Moon. Our world-class team includes experts in all aspects of spacecraft subsystems design, development, and test, on-orbit operations, and safety.

Intuitive Machines is seeking an in Intern to join our team in Phoenix, Arizona.

Responsibilities:

  • Assist in the processing and analysis of lunar images to support current lunar research and exploration
  • Develop and maintain scripts and tools for automating data processing tasks.
  • Collaborate with team members to identify and resolve issues in image data.
  • Support the creation and updating of lunar surface mosaics and maps.
  • Participate in the calibration and validation of LROC instruments and data products.
  • Contribute to the preparation of scientific presentations and reports.
  • Participate in public outreach events.

Minimum Requirements:

  • Enrollment as an undergraduate student in the Phoenix metropolitan area
  • Enthusiastic about contributing to lunar, planetary, or space science exploration.
  • Demonstrated ability to identify problems and develop mitigation procedures.
  • Ability to remain detail-oriented while working with large data sets.
  • Ability to work independently and as part of a team.
  • Good organization and documentation skills
  • Enthusiastic about learning new skills sets
  • Basic image analysis and/or statistical analysis experience
  • Bonus points for: programming, geographic information systems (GIS), geography, or geology experience or experience with planetary data sets

EEOC
Intuitive Machines is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.