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Manager Data Analytics Engineer Jobs in Phoenix, AZ

Contexture

Data Analyst

Phoenix, AZ · On-site

$5.7K - $6.5K/mo

Manager, Data Services Base Location: AZ or CO Work Status: Virtual Office Minimum Starting Monthly ... Hands-on experience with data extraction from data sources using analysis tools and programming ...

Tata Consultancy Service Limited

Data Analyst

Phoenix, AZ · On-site

$100K - $110K/yr

... with product managers, engineers, data stewards, and business stakeholders to translate business requirements into scalable data and analytics solutions. • Support the documentation of data ...

Tata Consultancy Service Limited

Data Analyst

Phoenix, AZ · On-site

$90K - $130K/yr

... with product managers, engineers, data stewards, and business stakeholders to translate business requirements into scalable data and analytics solutions. • Support the documentation of data ...

Pwc

Data Engineer - Senior Manager

Phoenix, AZ · On-site

$124K - $280K/yr

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 ...

Pwc

Data Engineer - Senior Associate

Phoenix, AZ

$77K - $202K/yr

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 ...

Connexzia

Data Analyst

Scottsdale, AZ

Pivot Tables Azure Business Analytics Analysis Modeling Data Modeling AWS Attention To Detail Excel Visualization Data Integrity Data Management Data Visualization Healthcare Data Science Data ...

Contexture

Senior Data Analyst

Phoenix, AZ · Remote

$6.9K - $8.0K/mo

Manager, Data Services Base Location: AZ or CO Work Status: Virtual Office Minimum Starting Monthly ... Hands-on experience with data extraction from data sources using analysis tools and programming ...

Contexture

Senior Data Analyst

Phoenix, AZ · On-site

$6.9K - $8.0K/mo

Manager, Data Services Base Location: AZ or CO Work Status: Virtual Office Minimum Starting Monthly ... Hands-on experience with data extraction from data sources using analysis tools and programming ...

Mondo

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

... Engineer, Analytics Engineer, etc.) * Minimum 3 years of hands on MLOps experience, specifically model deployment, monitoring, and lifecycle management in production environments (not just model ...

First Citizens Bank

Senior Enterprise Data Analyst

Phoenix, AZ · On-site

$85K - $107K/yr

Builds dashboards to modernize analytics and assists management with special data projects. * Business Support - Enforces data policies and procedures across the enterprise. Encourages discussion and ...

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Showing results 21-40

All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Phoenix, AZ

Manager Data Analytics Engineer information

See Phoenix, AZ salary details

$44.2K

$128.8K

$176.2K

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

As of Aug 8, 2026, the average yearly pay for manager data analytics engineer in Phoenix, AZ is $128,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $136,500.00 per year, depending on experience, location, and employer.

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.

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 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.

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 are the most commonly searched types of Data Analytics Engineer jobs in Phoenix, AZ? The most popular types of Data Analytics Engineer jobs in Phoenix, AZ are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Phoenix, AZ? For Manager Data Analytics Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Phoenix, AZ look for? The top searched job categories for Manager Data Analytics Engineer jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Manager Data Analytics Engineer jobs? Cities near Phoenix, AZ with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in Phoenix, AZ as of July 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $128,797 per year, or $61.9 per hour.

Data Analyst

Contexture

Phoenix, AZ • On-site

$5.7K - $6.5K/mo

Full-time

Posted 23 days ago

Job description

Job Code: DATANLST
Reports To: Manager, Data Services
Base Location: AZ or CO
Work Status: Virtual Office
Minimum Starting Monthly Range: $5,757
Hiring Range (Monthly Pay): $5,757 - $6,583
Full-time / Part-time Full-time
Exempt / Non-Exempt Exempt
Risk Designation: Extremely High
Summary
The Data Analyst will work as part of the Data Services team under the direction of the Manager, Data Services to implement, maintain, and support Contexture's reporting solutions. This role will translate approved report specifications into production ready reports, supporting report automation activities, and ensuring timely delivery of reporting products to internal and external stakeholders. This position serves as a technical resource for report development and implementation while collaborating with cross-functional teams to ensure data accuracy, consistency, and alignment with organizational reporting standards.
This position is based in Phoenix Arizona; Denver Colorado; or Grand Junction, Colorado and requires local residency in one of these base locations. Our strategic flexibility allows for local work from home opportunities.
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Essential Duties and Responsibilities include the following:
  • Develop, implement, and maintain reports based on approved business and technical specifications.
  • Support report implementation activities, testing, and customer onboarding for new reports.
  • Support internal and external customers in data analysis and reporting activities, including in-depth analysis of source data.
  • Develop and maintain SQL queries, data extracts, and report logic required for report production.
  • Execute report validation and quality assurance activities to ensure accuracy and completeness of report outputs.
  • Support recurring production and delivery of reports to customers and internal stakeholders.
  • Troubleshoot report issues, research data discrepancies, and implement corrective actions.
  • Assist in the research, data analysis, data measurement, and data reporting methodologies, technologies, and tools.
  • Maintain report documentation, technical specifications, and operational procedures.
  • Analyze clinical, claims, SDOH, operational, and financial data to support reporting requirements.
  • Performs other related duties as assigned.

Skills
  • Demonstrated experience developing, implementing, and supporting reporting solutions, data extracts, and analytical deliverables.
  • Experience supporting recurring report production, report distribution, and operational reporting processes.
  • Experience creating and maintaining report specifications.
  • Experience working with relational databases and analytical datasets to support reporting, business intelligence, and data analysis.
  • Hands-on experience with data extraction from data sources using analysis tools and programming languages, specifically Python and SQL.
  • Ability to understand and analyze various data domains, including clinical, claims, social determinants of health (SDOH), financial, and operational data.
  • Ability to validate data accuracy, identify data quality issues, perform root cause analysis, and implement corrective actions.
  • Practical experience with industry-accepted standards, best practices, and principles for implementing well-designed data analysis and reporting solutions.
  • Technical Skills and Experience:
    • Experience working with large and complex datasets that are both structured and unstructured data
      • Required Languages: Python and SQL
      • Required Libraries: PyData stack
    • Data storage experience with Microsoft SQL Server, MongoDB, and Snowflake
    • SQL query development using query planning and optimization techniques
    • File manipulation across varied file types, encodings, formats, and standards
    • Secure Software Development Lifecycle (SSDLC), version control, and release management
  • Knowledge of healthcare interoperability standards such as HL7 (Health Level 7), FHIR (Fast Healthcare Interoperability Resources), CDA (Clinical Document Architecture), etc.
  • Knowledge of healthcare clinical code sets such as LOINC, SNOMED, CPT, ICD-10, etc.
  • Strong understanding of project management disciplines such as Agile and Waterfall.
  • Ability to translate business requirements and technical specifications into accurate and scalable reporting solutions.
  • Ability to work in a fast-paced and rapidly changing environment while consistently meeting strict service level agreement performance requirements.
  • Ability to work independently as well as ability to effectively work in a team environment and maintain strong working relationships.
  • Effective verbal and written communication skills with the ability to explain data findings and reporting outputs to technical and non-technical stakeholders.
  • Working knowledge of Microsoft Office 365 toolset (OneDrive, Word, Excel, and PowerPoint).

Education/Experience
  • Minimum of 3+ years of experience working in data-related positions with increasing responsibility and scope of duties; specifically, 2+ years working with relational databases, 2+ years working with analytical data.
  • A Bachelor's Degree is required with a concentration in a data-related field such as Computer Science, Informatics, Mathematics, Engineering, etc.

Work Environment
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually moderate.
The position may require occasional availability for after-hours work, outside of regularly scheduled hours.
The position may require ability to periodically drive to and from clients, conferences and / or events; and / or limited travel.
This position is expected to be exposed to, process, or handle sensitive information including but not limited to Protected Health Information (PHI), Personally Identifiable Information (PII), financial information, etc. As such, the holder of this position is expected to comply with all applicable laws, regulations, organizational policies, and compliance expectations.
Physical Demands
The physical demands described here are representative of those necessary to perform the essential functions of the role:
  • Frequent communication and information exchange.
  • Regular movement within the office to access equipment and materials.
  • Ability to remain stationary for extended periods (approximately 50% of the time).
  • Continuous use of computers and office equipment (e.g., keyboard, monitor, printer).
  • Frequent handling of materials up to 10 lbs; occasional handling up to 30 lbs.

Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Note: This job description is not intended to be an exhaustive list of all duties, responsibilities and / or qualifications associated with the job.
Benefits: The organization provides a comprehensive benefits package. For details, please request a Benefit Summary from our Benefits Department.
The organization is an inclusive Equal Opportunity Employer. We do not discriminate on the basis of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other status protected by law or regulation.
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