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Executive Data Analytics Jobs (NOW HIRING)

Vancro, Inc.

Data Analytics Integrator

Marietta, GA · On-site

Develop executive-level reports and visualizations for leadership * Identify data discrepancies and recommend corrective actions * Support process improvement initiatives through data-driven analysis ...

Hp

Executive Assistant - Data & Analytics

Spring, TX · On-site

$32 - $49/hr

Executive Assistant - Data & Analytics Description - Job Summary This role is responsible for providing basic tactical and strategic administrative support to upper-level executives within the ...

Emerson

Data Analytics Analyst

Austin, TX · On-site

Translate business questions into analytical frameworks, data requirements, and executive-ready insights and recommendations * Leverage modern cloud tools to develop scalable datasets and optimized ...

Boeing

Data Analytics Lead

El Segundo, CA · On-site

Support ad hoc analysis and executive-level reporting as needed BasicQualifications (Required Skills/Experience): * 10+ years of experience collecting, organizing, synthesizing and analyzing data ...

Boeing

Data Analytics Lead

San Antonio, TX · On-site

Support ad hoc analysis and executive-level reporting as needed BasicQualifications (Required Skills/Experience): * 10+ years of experience collecting, organizing, synthesizing and analyzing data ...

Boeing

Data Analytics Lead

Ridley Park, PA

Support ad hoc analysis and executive-level reporting as needed BasicQualifications (Required Skills/Experience): * 10+ years of experience collecting, organizing, synthesizing and analyzing data ...

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How much do executive data analytics jobs pay per year?

As of Jun 22, 2026, the average yearly pay for executive data analytics in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often senior positions such as Chief Data Officer or Data Science Director, which require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic decision-making responsibilities. These roles can offer salaries exceeding $150,000 annually, depending on the industry and location.

How does an Executive Data Analytics professional typically collaborate with other departments to drive business strategy?

Executive Data Analytics professionals often work closely with leaders across marketing, finance, operations, and IT to translate complex data insights into strategic business decisions. They facilitate cross-functional meetings, present actionable findings, and recommend data-driven initiatives that align with organizational goals. This role requires strong communication and leadership skills, as executives must bridge the gap between technical data teams and non-technical stakeholders, ensuring everyone understands and acts on key insights.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can enhance efficiency, human expertise remains essential for interpreting results, understanding context, and making informed recommendations. Data analysts who develop skills in machine learning, programming, and data visualization are better positioned to adapt to these technological changes.

What are the key skills and qualifications needed to thrive as an Executive in Data Analytics, and why are they important?

To thrive as an Executive in Data Analytics, you need expertise in data analysis, statistical modeling, and data-driven decision-making, usually supported by an advanced degree in data science, statistics, or a related field. Familiarity with analytics platforms such as Tableau, Power BI, SQL, and cloud-based data systems, along with certifications like Certified Analytics Professional (CAP), is typically required. Strong leadership, strategic thinking, and communication skills distinguish top performers by enabling them to translate complex data insights for stakeholders and drive organizational change. These skills are critical for aligning analytics initiatives with business goals and delivering measurable value.

Is 40 too late for data science?

Executive Data Analytics roles often value experience and skills over age, and many professionals transition into data science at various stages of their careers. Learning relevant tools like Python, R, and SQL, along with gaining certifications or practical experience, can help establish credibility regardless of age. Age should not be a barrier to entering or advancing in data science or analytics roles.

What is a data analyst executive?

A data analyst executive is a senior professional responsible for overseeing data analysis activities within an organization. They typically lead teams, develop data strategies, and use tools like SQL, Python, or Tableau to inform business decisions. Strong leadership, strategic thinking, and advanced analytical skills are essential for this role.

What is an Executive Data Analytics professional?

An Executive Data Analytics professional is a senior leader responsible for overseeing an organization's data strategy, analytics initiatives, and data-driven decision-making processes. They manage teams of analysts and data scientists, align analytics projects with business goals, and ensure the effective use of data to drive growth and innovation. Their role typically involves collaborating with other executives, setting data governance policies, and identifying opportunities for leveraging data to improve performance and competitive advantage.
What cities are hiring for Executive Data Analytics jobs? Cities with the most Executive Data Analytics job openings:
What are the most commonly searched types of Data Analytics jobs? The most popular types of Data Analytics jobs are:
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Executive Data Analytics jobs near you
Data Governance Analyst

Data Governance Analyst

Purdue University

West Lafayette, IN • On-site

Full-time

Retirement

Posted yesterday

Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

263rd of 539 rated colleges and universities

Job description

Req Id: 42214
Job Title: Data Governance Analyst
City: West Lafayette
Job Description:
Job Summary
Purdue University's Data Governance team is seeking a detail-oriented, collaborative Data Governance Analyst to support the development, coordination, and ongoing management of the university's enterprise data governance framework. This role is essential in advancing data stewardship, data quality, and responsible data use across the institution.
Working closely with the Data Governance Lead, the analyst will help manage and document the projects and operations of the Executive Data Council, Purdue's primary data governance body. The role also includes coordinating with a stakeholders across the university to support shared governance goals and ensure alignment on enterprise data initiatives.
Key Responsibilities:
Governance Structure Support
  • Assist the Data Governance Lead in managing the operations and activities of the Executive Data Council
  • Coordinate and attend council and committee meetings, ensuring accurate documentation of discussions, decisions, and action items
  • Draft meeting agendas, summaries, minutes, and follow-up communications
  • Track governance initiatives, timelines, and deliverables to support effective oversight and accountability

Cross-Functional Coordination
  • Support efforts to coordinate data stakeholders to advance enterprise data governance goals
  • Facilitate communication and alignment across units to ensure consistent understanding of governance expectations, standards, and priorities
  • Help monitor progress on shared initiatives and assist in removing barriers to collaboration

Documentation & Reporting
  • Develop and maintain documentation related to data governance policies, standards, procedures, and workflows
  • Draft outcome reports, project summaries, and other written materials that communicate progress and results of data governance initiatives
  • Create clear, accessible materials that help campus stakeholders understand data governance processes and responsibilities

Project & Operational Support
  • Assist with data governance projects, including data quality assessments, metadata initiatives, and stewardship activities
  • Support cross-functional collaboration with technical teams, business units, and academic partners
  • Contribute to continuous improvement of governance processes, tools, and communication practices

What We're Looking For:
  • Bachelor's degree in Business, Communications, Business or Data Analytics, Social Sciences, Library and Information Sciences, Education or a related field
  • Two or more years of experience in organizational communications, business administration, data analytics, library and information sciences, sociology, public policy, education, technical writing or another related field.
  • Ability to simplify complex concepts and deliver effective messages to a variety of end users
  • Excellent written communication skills, with the ability to produce clear, structured, and accurate documentation
  • Demonstrated ability working with cross-organization leadership
  • Excellent organizational skills and attention to detail
  • Ability to coordinate work across diverse stakeholder groups and manage multiple priorities
  • Interest in data governance

What Is Helpful:
  • Experience working in a university setting
  • Familiarity with federal and state regulations (i.e. FERPA, GLBA, HIPAA)
  • Experience supporting committees, councils, or cross-functional working groups
  • Experience working with data governance and organization polcy

What We Want You To Know:
  • Remote or hybrid options are available for this position
  • For full consideration, applicants should submit a resume and cover letter
  • Purdue will not sponsor employment authorization for this position
  • A background check is required for employment in this position
  • FLSA: Exempt (Not eligible for overtime)
  • Retirement Eligibility: Defined Contribution Waiting Period
  • Purdue University is an EO/EA University.

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