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Data Analytics Manager Jobs in Arizona (NOW HIRING)

Oscar Health

Associate, Provider Data Analytics

Tempe, AZ · Hybrid

$87.19K - $114.43K/yr

Hi, we're Oscar. We're hiring an Associate, Provider Data Analytics to join our Provider Data ... You will report into the Senior Manager, Provider Data Operations. Work Location: This position is ...

Oscar Health

Associate, Provider Data Analytics

Tempe, AZ · Hybrid

$87.19K - $114.43K/yr

Hi, we're Oscar. We're hiring an Associate, Provider Data Analytics to join our Provider Data ... You will report into the Senior Manager, Provider Data Operations. Work Location: This position is ...

Oscar Health

Associate, Provider Data Analytics

Tempe, AZ · On-site

$87.19K - $114.43K/yr

Hi, we're Oscar. We're hiring an Associate, Provider Data Analytics to join our Provider Data ... You will report into the Senior Manager, Provider Data Operations. Work Location: This position is ...

Oscar Health

Associate, Provider Data Analytics

Tempe, AZ · Hybrid

$87.19K - $114.43K/yr

Hi, we're Oscar. We're hiring an Associate, Provider Data Analytics to join our Provider Data ... You will report into the Senior Manager, Provider Data Operations. Work Location: This position is ...

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All JobsData Analytics Manager JobsData Analytics Manager Jobs in Arizona

Data Analytics Manager information

See Arizona salary details

$28.9K

$90.5K

$160.3K

How much do data analytics manager jobs pay per year?

As of May 28, 2026, the average yearly pay for data analytics manager in Arizona is $90,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $117,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do Data Analytics Managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What does a Data Analytics Manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Arizona? The most popular types of Data Analytics jobs in Arizona are:
What are popular job titles related to Data Analytics Manager jobs in Arizona? For Data Analytics Manager jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Analytics Manager jobs in Arizona look for? The top searched job categories for Data Analytics Manager jobs in Arizona are:
What cities in Arizona are hiring for Data Analytics Manager jobs? Cities in Arizona with the most Data Analytics Manager job openings:
Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in Arizona as of May 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 97% Physical, 2% Hybrid, and 1% Remote job distribution, with an average salary of $90,528 per year, or $43.5 per hour.
Manager, Healthcare Data Analytics

Manager, Healthcare Data Analytics

Valenz Health

Phoenix, AZ • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Job description

Vālenz® Health is the platform to simplify healthcare - the destination for employers, payers, providers and members to reduce costs, improve quality, and elevate the healthcare experience. The Valenz mindset and culture of innovation combine to create a distinctly different approach to an inefficient, uninspired health system. With fully integrated solutions, Valenz engages early and often to execute across the entire patient journey - from care navigation and management to payment integrity, plan performance and provider verification. With a 99% client retention rate, we elevate expectations to a new level of efficiency, effectiveness and transparency where smarter, better, faster healthcare is possible.
About This Opportunity:
As a Manager of Healthcare Data Analytics, you will lead a team responsible for transforming complex healthcare data (claims and provider) into structured, reliable data assets. You'll partner closely with Product, Data Engineering, and Application Development to deliver high-quality analytics that power critical business decisions. This role blends people leadership, hands-on work, and is centered on SQL and Python, with an emphasis on data transformation, modeling, and solving complex data problems that support downstream analytics and business use.
Strong candidates bring deep experience working with healthcare data and advanced SQL, along with a track record of building and structuring datasets that are used across teams.
Things You'll Do Here:
  • Lead, coach, and develop a team of Analysts by providing technical direction, reviewing deliverables, and guiding problem-solving approaches.
  • Define and execute the provider analytics roadmap in alignment with product and enterprise data strategy.
  • Set clear performance expectations, support professional development, and manage ongoing performance.
  • Serve as a subject matter expert in provider data, leading complex analyses to establish accurate provider identity, network status, affiliations, and hierarchy across multiple data sources.
  • Design and support scalable, production-grade analytics workflows using SQL, Python, and Databricks.
  • Ensure the accuracy, quality, and integrity of analytical outputs through strong validation and review practices.
  • Partner cross-functionally with Data Engineering, Product, Application Development, and Client Success to deliver solutions, resolve complex issues, and support strategic initiatives.
  • Translate complex analytical findings into clear, actionable insights for both technical and non-technical audiences.
  • Identify and implement process improvements to enhance efficiency, scalability, and data reliability.
  • Evaluate and introduce emerging technologies and best practices to strengthen provider data capabilities.
  • Manage and track work through project management tools such as Azure DevOps and Salesforce.
Reasonable accommodation may be made to enable individuals with disabilities to perform essential duties.
What You'll Bring to the Team:
  • 5+ years of healthcare data analytics experience (provider, claims, network)
  • 2+ years in a leadership role
  • Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Finance, or Economics) or equivalent experience.
  • Advanced SQL skills and working knowledge of Python, with experience supporting or reviewing production-level code.
  • Experience building and maintaining datasets used for analytics and business operations and ability to translate business needs into structured data solutions
  • Strong attention to detail with a focus on data accuracy, validation, and quality.
  • Excellent communication skills, with the ability to work across technical and non-technical teams.
  • Highly organized, with the ability to manage multiple priorities in a fast-paced environment.
A plus if you have...
  • Master's degree.
  • Experience with Spark or other distributed processing frameworks.
  • Familiarity with cloud platforms (AWS, Azure, GCP).
  • Working knowledge of version control (Git) and CI/CD practices.

Where You'll Work: This is a fully remote position, and we'll provide all the necessary equipment!
  • Work Environment: You'll need a quiet workspace that is free from distractions.
  • Technology: Reliable internet connection-if you can use streaming services, you're good to go!
  • Security: Adherence to company security protocols, including the use of VPNs, secure passwords, and company-approved devices/software.
  • Location: You must be US based, in a location where you can work effectively and comply with company policies such as HIPAA.

Why You'll Love Working Here
Valenz is proud to be recognized by Inc. 5000 as one of America's fastest-growing private companies. Our team is committed to delivering on our promise to engage early and often for smarter, better, faster healthcare.With this commitment, you'll find an engaged culture - one that stands strong, vigorous, and healthy in all we do.
Benefits
  • Generously subsidized company-sponsored Medical, Dental, and Vision insurance, with access to services through our own products, Healthcare Blue Book and KISx Card.
  • Spending account options: HSA, FSA, and DCFSA
  • 401K with company match and immediate vesting
  • Flexible working environment
  • Generous Paid Time Off to include vacation, sick leave, and paid holidays
  • Employee Assistance Program that includes professional counseling, referrals, and additional services
  • Paid maternity and paternity leave
  • Pet insurance
  • Employee discounts on phone plans, car rentals and computers
  • Community giveback opportunities, including paid time off for philanthropic endeavors

At Valenz, we celebrate, support, and thrive on inclusion, for the benefit of our associates, our partners, and our products. Valenz is committed to the principle of equal employment opportunity for all associates and to providing associates with a work environment free of discrimination and harassment. All employment decisions at Valenz are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, national, social, or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We will not tolerate discrimination or harassment based on any of these characteristics.

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