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Executive Data Analytics Jobs (NOW HIRING)

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

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

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

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

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

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

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

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

Background Details Workplace Solutions Data Analytics Management is a growing team that is focused ... Ability to find common ground and gain collaboration among senior/executive management, colleagues ...

Partner with executive and business leaders to identify and prioritize high-value analytics and AI ... Data Platform & AI Leadership * Lead the enterprise data platform strategy across cloud data ...

Manager, Data & Analytics

Chicago, IL · Hybrid

$74K - $138K/yr

Develop executive-ready presentations that translate data into strategic recommendations. * Technical Excellence * Use SQL and Python (or similar programming languages) to extract, analyze, and ...

The Manager, Data Analytics plays a critical role in unlocking consumer and ecommerce data to drive ... executive decision-making • Define measurement frameworks and key performance indicators for e ...

Manager, Data & Analytics

Chicago, IL · On-site

$74K - $138K/yr

Develop executive-ready presentations that translate data into strategic recommendations. * Technical Excellence * Use SQL and Python (or similar programming languages) to extract, analyze, and ...

Deliver insights through compelling data storytelling that supports executive decision-making Measurement, Experimentation & Performance Analysis * Define measurement frameworks and key performance ...

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Executive Data Analytics information

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$26.5K

$93.6K

$184K

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:
What states have the most Executive Data Analytics jobs? States with the most job openings for Executive Data Analytics jobs include:
Data Analytics Lead

Full-time

Medical, Life, Retirement

Posted 5 days ago


Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 592 frontline employees who took The Breakroom Quiz

34th of 519 rated manufacturers


Job description

Data Analytics Lead

Company:

The Boeing Company

Boeing Enterprise Classified Security is seeking a highly motivated Data Analytics Lead to join our team in Seattle, WA; Arlington, VA; El Segundo, CA; Huntington Beach, CA; Huntsville, AL; Long Beach, CA; Mesa, AZ; Ridley Park, PA; San Antonio, TX; Seal Beach, CA; Berkeley, MO or Hazelwood, MO.

The Data Analytics Lead will play a critical role in supporting Enterprise Classified Security's (ECS) strategic goals by delivering actionable insights through comprehensive project analytics and portfolio management.

This position is responsible for maintaining a centralized view of all ECS projects, ensuring accurate tracking, prioritization, and reporting across the portfolio. The role will partner with stakeholders to enhance visibility into project status, resource utilization, and performance trends, enabling more informed decision-making and stronger operational alignment.

Position Responsibilities:

  • Maintain a centralized, accurate view of all ECS projects, programs, and portfolio activities

  • Track project status, milestones, dependencies, risks, and issues across the portfolio

  • Develop and maintain reporting dashboards, scorecards, and analytics tools to improve visibility into project performance

  • Monitor resource utilization, workload distribution, and capacity trends to support portfolio planning

  • Partner with stakeholders and leadership to ensure data accuracy, alignment, and consistency in reporting

  • Analyze project and portfolio data to identify trends, performance gaps, and opportunities for improvement

  • Support prioritization efforts by providing data-driven insights and recommendations

  • Ensure timely and accurate communication of portfolio health, status updates, and key metrics

  • Drive standardization of analytics processes, reporting methods, and data definitions across the organization

  • Collaborate with cross-functional teams to improve operational alignment and decision-making

  • Support ad hoc analysis and executive-level reporting as needed

BasicQualifications (Required Skills/Experience):

  • 10+ years of experience collecting, organizing, synthesizing and analyzing data

  • 10+ years of experience with digital dashboard and/or metric development

  • 10+ years of experience monitoring project control systems

  • Experience with data analytics platforms, reporting tools, and data visualization (SQL, Tableau, Python, Excel, or equivalent)

  • Experience in managing relationships with business leaders and executives, leading complex portfolio of engagements, enabling leaders to make data-driven decisions

  • Experience do you have managing multiple competing priorities

  • Experience working with cross functional teams

  • Experience communicating with technical experts and explaining difficult technical concepts to non-technical business users

  • Experience translating data into actionable insights and recommendations

Preferred Qualifications (Desired Skills/Experience):

  • Bachelor's degree or higher in Data Analytics, Business, Information Systems, Operations, Engineering, or a related field

  • Experience supporting enterprise portfolio management, program management, or PMO functions

  • Experience with project lifecycle tracking, resource planning, and performance measurement

  • Experience working in a classified, security-focused, or highly regulated environment

  • Experience creating executive-level reports and strategic presentations

  • Strong understanding of KPI development, trend analysis, and data governance practices

  • Experience working with cross-functional stakeholders and senior leadership

  • Advanced proficiency in analytics tools, database querying, or automation tools such as SQL, Python, or similar

  • Ability to translate complex data into actionable business recommendations

  • Knowledge of continuous improvement methodologies or operational excellence frameworks

  • Strong analytical and problem-solving skills

  • Strong written and verbal communication skills

Conflict of Interest:

Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria are met as outlined in our policies.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range: $161,500 - $233,450

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Export Control Requirement:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

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Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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