1

Director Of Data Analytics Jobs in Arizona (NOW HIRING)

$100 - $150/hr

As Director of Data Governance & Data Quality at Vertex Education, you will lead the development ... analytics operations, data product operations or related data management roles. * Proven success ...

... direct hire position. This position reports to the Senior Manager of Data Analytics and participates in a team environment. The Senior Data Analyst provides support of all organizational data ...

... direct hire position. This position reports to the Senior Manager of Data Analytics and participates in a team environment. The Senior Data Analyst provides support of all organizational data ...

By uniting people of passion who believe they can make a difference, we are confident that we can ... Utilize data analytics tools and software (e.g., Google Analytics, social media analytics platforms ...

Data & AI Enablement Senior Director The Data & AI Enablement Senior Director leads the strategy ... Enable responsible use of advanced analytics and AI capabilities built on trusted data foundations.

next page

Showing results 1-20

Director Of Data Analytics information

See Arizona salary details

$66.2K

$147.3K

$227.8K

How much do director of data analytics jobs pay per year?

As of Aug 31, 2026, the average yearly pay for director of data analytics in Arizona is $147,346.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,400.00 and $167,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a director of data analytics when aligning data initiatives with business objectives?

A Director of Data Analytics often encounters the challenge of bridging the gap between technical data solutions and the strategic goals of the business. This involves translating complex analytical insights into actionable recommendations for non-technical stakeholders, prioritizing projects that deliver the most value, and ensuring data quality and governance standards are maintained. Additionally, coordinating across departments to align on KPIs and fostering a data-driven culture can be demanding but is essential for successful outcomes. Strong communication, leadership, and a deep understanding of both data and business operations are key to overcoming these challenges.

What are the key skills and qualifications needed to thrive as a director of data analytics, and why are they important?

To thrive as a Director of Data Analytics, you need deep expertise in data analysis, statistics, and business intelligence, typically supported by an advanced degree in a quantitative field and several years of leadership experience. Familiarity with data visualization tools (such as Tableau or Power BI), database systems (like SQL), and analytics platforms, along with certifications in data science or analytics, are highly valued. Strong leadership, strategic thinking, and communication skills distinguish top performers in this role. These competencies are crucial for driving data strategy, translating insights into business value, and leading effective analytics teams.

What is the difference between Director Of Data Analytics vs Data Analyst?

AspectDirector Of Data AnalyticsData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership role overseeing teams and strategyAnalyzing data, creating reports, supporting decision-making
Employer & Industry UsageUsed in large organizations across industries for strategic oversightCommon in various industries for data interpretation and reporting

The Director Of Data Analytics typically holds a senior leadership position, focusing on strategy and team management, requiring advanced credentials. In contrast, Data Analysts perform hands-on data analysis and reporting, often with less experience. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

Is data analytics a high paying job?

Data analytics roles, including positions like Director of Data Analytics, are generally well-compensated, especially for those with advanced skills in statistical analysis, programming, and data visualization tools. Salaries tend to increase with experience, certifications, and industry demand, making it a lucrative career option.

What does a director of data analytics do?

A director of data analytics oversees an organization’s data analysis efforts, leading teams to interpret complex data sets to inform business decisions. They develop strategies, ensure data quality, and often work with tools like SQL, Python, or Tableau to deliver insights that support company goals.

What are the most commonly searched types of Of Data Analytics jobs in Arizona?

The most popular types of Of Data Analytics jobs in Arizona are:

What are popular job titles related to Director Of Data Analytics jobs in Arizona?

For Director Of Data Analytics jobs in Arizona, the most frequently searched job titles are:

What cities in Arizona are hiring for Director Of Data Analytics jobs?

Cities in Arizona with the most Director Of Data Analytics job openings:

Infographic showing various Director Of Data Analytics job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $147,346 per year, or $70.8 per hour.

Director of Data Governance & Data Quality

Vertex Education

On-site

$100 - $150/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

As Director of Data Governance & Data Quality at Vertex Education, you will lead the development and enforcement of data trust practices across a complex, multi‑entity environment, ensuring that critical data is defined, governed, and trusted for decision‑making.

Responsibilities
  • Governance Operating Model & Business Ownership: Build and run the Data Trust Council, establish owner/steward models for enrollment, finance, student, school and other critical domains, and coach stakeholders on responsibilities for data quality and approval.
  • Certification, Definitions & Data Product Trust: Create certification framework for data assets, maintain a metric registry and definition workflow, and partner with Data Engineering and BI to ensure certified datasets, dashboards, and reports are traceable, tested, and fit for use.
  • Data Quality Incident Management & Root‑Cause Discipline: Design the incident process, define rules, tolerances and monitoring expectations for Snowflake, dbt and other tools; classify failures, route remediation and prevent mismatches from escalating to BI or engineering.
  • Source Change Control & Data Impact Reviews: Create and enforce Data Impact Reviews for material changes, evaluate impact on metrics, dashboards and outputs, and coordinate pre‑go‑live requirements with business, technology, Data Platform, BI and Product owners.
  • Cross‑Functional Partnership & Education Data Context: Serve as operating bridge among leaders, establish governance standards across shared systems, ensure privacy, retention, and security coordination, and translate technical lineage into plain‑language implications for executives and non‑technical stakeholders.
Qualifications
  • 7+ years of progressive experience in data governance, data quality, data strategy, analytics operations, data product operations or related data management roles.
  • Proven success creating business‑owned data governance in a messy, multi‑system environment where source systems, definitions, dashboards and operational processes were initially misaligned.
  • Strong technical fluency with modern data environments such as Snowflake, dbt, Tableau or comparable BI tools.
  • Experience designing source‑change control, data quality incident management, certification standards and owner/steward models that drive actual operational behavior.
  • Ability to distinguish source‑process issues, integration failures, data engineering defects, definition disputes, dashboard QA problems, timing/freshness gaps and user‑interpretation issues.
  • Excitement to join a high‑performing team and grow a career focused on data impact and governance.
#J-18808-Ljbffr