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Chief Data Analytics Jobs (NOW HIRING)

C2 Alaska, LLC

Chief Data Officer

Dayton, OH · On-site

This role supports the Chief Data Officer and AI leadership in designing and implementing digital ... Data integration * Analysis * Storage and retrieval across multiple platforms * Integrate ...

Nebraska State Jobs

Chief Data Officer

Lincoln, NE · On-site

$53.06/hr

JR2026-00022708 Chief Data Officer (Open) Applications No Longer Accepted On (If no date is ... analytics, and automation capabilities. The IT Data Administrator plays a key role in enabling data ...

C2 Alaska, LLC

Chief Data Officer

Dayton, OH

This role supports the Chief Data Officer and AI leadership in designing and implementing digital ... Data integration * Analysis * Storage and retrieval across multiple platforms * Integrate ...

Noblis

Cleared Chief Data Architect

Bethesda, MD · On-site

$68.25 - $87.75/hr

The Chief Data Architect will lead multi-disciplinary teams in designing cutting-edge data ... Translate mission needs into actionable Big Data system requirements, analytic tool specifications ...

Noblis

Cleared Chief Data Architect

Bethesda, MD · On-site

$68.25 - $88/hr

The Chief Data Architect will lead multi-disciplinary teams in designing cutting-edge data ... Translate mission needs into actionable Big Data system requirements, analytic tool specifications ...

C2 Alaska, LLC

Chief Data Officer

Dayton, OH · On-site

This role supports the Chief Data Officer and AI leadership in designing and implementing digital ... Data integration * Analysis * Storage and retrieval across multiple platforms * Integrate ...

Chenega Corporation

Chief Data Officer

Dayton, OH · On-site

This role supports the Chief Data Officer and AI leadership in designing and implementing digital ... Data integration * Analysis * Storage and retrieval across multiple platforms * Integrate ...

Avepoint

Chief Data and Analytics Officer

Chicago, IL · On-site

$250 - $300/hr

Overview Reporting to the AvePoint CFO, the Chief Data and Analytics Officer is responsible for defining and executing AvePoint's enterprise data strategy, turning trusted, unified data into a ...

Kokosing, Inc.

Chief Data and AI Officer

Westerville, OH · On-site

$190 - $270/hr

AI, Data & Analytics Leadership*** Develop and execute an enterprise-wide AI and data strategy that positions data as a strategic organizational asset.* Establish scalable data governance ...

Socket.dev

Chief Data Officer

Bath, OH · On-site

$130 - $180/hr

This role supports the Chief Data Officer and AI leadership in designing and implementing digital ... Data integration * Analysis * Storage and retrieval across multiple platforms * Integrate ...

Son

Chief Data Officer

Lincoln, NE · On-site

$53.06/hr

JR2026-00022708 Chief Data Officer (Open) Applications No Longer Accepted On (If no date is ... Collaborate with analysts and program staff to improve dashboards, optimize performance, and ...

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Showing results 41-60

All JobsChief Data Analytics Jobs

Chief Data Analytics information

See salary details

$33K

$124.4K

$200.5K

How much do chief data analytics jobs pay per year?

As of Aug 21, 2026, the average yearly pay for chief data analytics in the United States is $124,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $146,000.00 per year, depending on experience, location, and employer.

What does a chief data analytics do?

A Chief Data Analytics Officer (CDAO) is responsible for overseeing an organization's data strategy, analytics initiatives, and data-driven decision making. They lead teams that collect, analyze, and interpret data to support business goals and drive innovation. The CDAO ensures that data governance, quality, and privacy standards are met, while also promoting a data-centric culture across the company. Their work helps organizations leverage data assets to gain competitive advantage and improve performance.

How does a chief data analytics typically collaborate with other departments to drive data-driven decision making?

As a Chief Data Analytics professional, you'll work closely with leaders from departments such as marketing, finance, operations, and IT to identify key business challenges and opportunities where data can provide actionable insights. Regular cross-functional meetings, workshops, and data strategy sessions are common to ensure alignment on goals and data priorities. You'll also guide teams on best practices for data collection, analysis, and interpretation, fostering a culture of data-driven decision making throughout the organization. Building strong relationships and maintaining clear communication with stakeholders is essential to drive successful analytics initiatives and support organizational growth.

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

To thrive as a Chief Data Analytics, you need advanced expertise in data science, statistical analysis, and business intelligence, often supported by a master's or doctoral degree in a quantitative field. Familiarity with analytics platforms (such as Tableau, Power BI), big data tools (like Hadoop, Spark), and programming languages (Python, R), as well as certifications in data analytics or management, are typically required. Strategic thinking, strong leadership, and effective communication skills are essential to bridge the gap between technical teams and business stakeholders. These competencies are crucial for driving data-driven decision-making, aligning analytics initiatives with organizational goals, and delivering measurable business value.

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

AspectChief Data AnalyticsData Analyst
CredentialsAdvanced degrees (Master's, PhD), certifications in data management and analyticsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentStrategic leadership, overseeing analytics teams, executive collaborationData analysis, reporting, and visualization tasks, often under supervision
Employer & Industry UsageUsed in large organizations, tech firms, finance, healthcareCommon across various industries, including retail, marketing, finance

Chief Data Analytics focuses on strategic leadership, managing analytics teams, and aligning data initiatives with business goals. Data Analysts perform hands-on data analysis, reporting, and visualization. Both roles require strong analytical skills, but the Chief Data Analytics role involves higher-level decision-making and leadership responsibilities.

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Cities with the most Chief Data Analytics job openings:

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Chief Data Analytics jobs near you
Infographic showing various Chief Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $124,409 per year, or $59.8 per hour.

Chief Data Office-Data Analytics VP

Bank of China Limited, New York Branch

Manhattan, NY • On-site

$110K/yr

Full-time

Re-posted 16 days ago

Job description

Introduction

Established in 1912, Bank of China is one of the largest banks in the world, with over $3 trillion in assets and a footprint that spans more than 60 countries and regions. Our long-term outlook, institutional weight and global breadth provide our clients with a stable and reliable financial partner, whether in Corporate or Personal Banking or our Trade Services, Commodities, Financial Institutions and Global Markets lines of business.

Overview

The Data Analytics VP will serve as a key member of the CDO Data Analytics team, supporting bankwide data and business analytics initiatives and driving improved business outcomes through the effective use of data across the organization.

Responsibilities

Includes but not limited to:

Data Analytics

  • BI Dashboard/Executive Dashboard Development: Leverage Business Intelligence tools to design and build interactive dashboards. Develop clear, insightful visualizations that track key performance and risk indicators, diagnose issues, surface datadriven solutions, and empower stakeholders to make informed, timely decisions.
  • In-depth Analysis: Perform comprehensive analysis of complex datasets to identify trends, patterns, and anomalies. Translate findings into actionable insights that support dataenabled decisionmaking and drive continuous improvement across the organization.
  • Advanced Analytics Including Machine Learning/AI: Identify highvalue opportunities to apply advanced analytics, including Machine Learning and AI, to solve business challenges, improve performance, and mitigate risks. Develop predictive models and other advanced analytical solutions to uncover deeper insights and support strategic initiatives. Support experimentation, A/B testing, and model performance monitoring.
  • Automation: Support the design and implementation of automated processes to streamline workflows and reporting. Improve operational efficiency, reduce manual effort, and ensure consistent, accurate, and timely data delivery through automation.

Communications

  • Stakeholder Collaboration: Gather and evaluate specific data requirements from business stakeholders including executive members, propose tailored data solutions through analytics, and effectively communicate these solutions.
  • Presentation and Communication: Create effective presentation decks to present data analysis results to stakeholders and management.
  • Advocacy and Education: Promote data analytics best practices and technology adoption within the organization.
Qualifications
  • Bachelor's degree required; Master's degree in computer science/statistics/applied analytics/business analytics or other analytics relevant majors preferred
  • At least 5 years of experience in data analytics, SQL, Python and Business Intelligence Tools
  • At least 3 years of experience in dashboard development
  • At least 2 years of experience in Machine Learning/AI
  • Good communication skills (written and verbal) and project management experience required
  • Financial Services Experience Required, Banking experience preferred
  • Strong analytical, machine learning and Artificial Intelligence (AI), decision-making and problem-solving skills
Pay Range

Actual salary is commensurate with candidate's relevant years of experience, skillset, education and other qualifications.

USD $110,000.00 - USD $230,000.00 /Yr.Employment Type: FULL_TIME

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