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Director Of Data Analytics Jobs (NOW HIRING)

The successful candidate will work closely with the Global Director of Data & Technology at Bay ... Execute the club's data and analytics strategy, aligning with sporting and organizational ...

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The Director will manage a small team of data analysts and engineers and will work closely with an external implementation partner during the initial build-out of the data lake and data warehouse.

... Head of Data & Analytics. Founded in 1960, AVI Foodsystems has evolved into one of the most ... Conduct direct customer visits to understand how clients interact with our data products. Use these ...

DIRECTOR OF DATA ANALYTICS Current is a leading consumer fintech platform transforming financial access for everyday Americans with over 6 million members. We provide access to financial solutions ...

DIRECTOR OF DATA ANALYTICS Current is a leading consumer fintech platform transforming financial access for everyday Americans with over 6 million members. We provide access to financial solutions ...

Director, Data Strategy Role Summary The Director of Data Strategy shapes RaceTrac's enterprise ... Working across Technology, Analytics, Product, Finance, and Business Units, this role builds the ...

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Director Of Data Analytics information

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$71K

$158.1K

$244.5K

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

As of Jun 29, 2026, the average yearly pay for director of data analytics in the United States is $158,116.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $180,000.00 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 is the highest salary in data analytics?

The highest salaries for data analytics professionals, particularly for senior roles like Director of Data Analytics, can exceed $150,000 to $200,000 annually, especially in large organizations or tech hubs. Factors such as experience, industry, certifications, and technical skills like SQL, Python, or machine learning influence top-tier compensation.

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.

How much does a director of analytics make at Google?

A Director of Data Analytics at Google typically earns between $150,000 and $250,000 annually, depending on experience, location, and level within the company. Compensation may also include bonuses, stock options, and other benefits common in tech industry leadership roles.

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 strategic decisions. They develop data strategies, ensure data quality, and often work with tools like SQL, Python, or Tableau to visualize insights. The role requires strong leadership, analytical skills, and a deep understanding of business objectives.

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 augment their work, the need for human expertise in interpreting data, understanding context, and communicating findings remains essential in data analytics roles.
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What cities are hiring for Director Of Data Analytics jobs? Cities with the most Director Of Data Analytics job openings:
What are the most commonly searched types of Of Data Analytics jobs? The most popular types of Of Data Analytics jobs are:
What states have the most Director Of Data Analytics jobs? States with the most job openings for Director Of Data Analytics jobs include:
Infographic showing various Director Of Data Analytics job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $158,116 per year, or $76 per hour.
Director of Data & Analytics

Director of Data & Analytics

Gallagher

Rolling Meadows, IL

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 23 days ago


Arthur J. Gallagher & Co. rating

7.7

Company rating: 7.7 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

175th of 263 rated insurance


Job description

Introduction
Welcome to Gallagher - a global community of people who bring bold ideas, deep expertise, and a shared commitment to doing what’s right. We help clients navigate complexity with confidence by empowering businesses, communities, and individuals to thrive. At Gallagher, you’ll find more than a job; you’ll find a culture built on trust, driven by collaboration, and sustained by the belief that we’re better together. Whether you join us in a client-facing role or as part of our brokerage division, our benefits and HR consulting division, or our corporate team, you’ll have the opportunity to grow your career, make an impact, and be part of something bigger. Experience a workplace where you’re encouraged to be yourself, supported to succeed, and inspired to keep learning. That’s what it means to live The Gallagher Way.

Overview

The Director of Data Analytics leads a team of 10+ analytics professionals and is responsible for advancing the organization’s analytics strategy, delivery, and capabilities. This role drives data-informed decision-making by delivering insights that support business performance, operational management, and executive leadership across the enterprise. Leveraging Gallagher’s enterprise data warehouse, the Director translates complex data on customers, purchasing behaviors, and insurance risk characteristics into scalable reporting and actionable insights. The role also partners closely with IT and data governance to shape data strategy, oversee data initiatives, and ensure the quality, value, and effective use of enterprise data assets.


How you'll make an impact
  • Lead and manage 10 professionals on the data analytics team, fostering a culture of innovation and excellence.
  • Develop and implement comprehensive data analytics strategies aligned with business goals. Solutions will monetize value of our enterprise data platform. Enterprise data sets include client information, detailed insurance information about client’s policies, claims, operational information, and industry-specific data sets.
  • Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions, including risk consultation and purchase analytics for insurance customers.
  • Oversee the design, development, and maintenance of data models, dashboards, and reports.
  • Ensure data integrity, accuracy, and security across all analytics platforms. Work closely with IT and enterprise data governance to set and maintain quality standards.
  • Provide actionable insights and recommendations to senior leadership to support strategic decision-making and inform tactical management actions.
  • Stay abreast of insurance industry trends and emerging data technologies to continuously improve analytics capabilities.
  • Manage relationships with external vendors and partners to enhance data analytics resources.
  • Develop and monitor key performance indicators to measure the effectiveness of analytics initiatives.
  • Mentor and develop team members, promoting professional growth and skill development. Participate in programs to increase the overall data competency across divisional teams.

About You
  • Bachelor’s degree in Finance, Data Science, Statistics, Computer Science, or a related field; Master’s degree preferred.
  • Minimum of 8–10 years of experience in data analytics, with at least 5 years in a leadership role.
  • Experience in the insurance or risk management industry is preferred.
  • Demonstrated success translating business needs into scalable reporting and analytics solutions.
  • Proficiency in programming languages such as Python, R, and SQL, as well as visualization tools such as Tableau and Power BI. Experience working in cloud computing environments such as Snowflake.
  • Excellent analytical, problem-solving, and decision-making skills.
  • Effective communication and interpersonal skills, with the ability to convey complex data insights to non-technical stakeholders.
  • Experience leading analytics roadmaps across multiple business stakeholders while achieving project timelines.

#LI-NP1



Compensation and benefits

We offer a competitive and comprehensive compensation package. The base salary range represents the anticipated low end and high end of the range for this position. The actual compensation will be influenced by a wide range of factors including, but not limited to previous experience, education, pay market/geography, complexity or scope, specialized skill set, lines of business/practice area, supply/demand, and scheduled hours. On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits. 

Below are the minimum core benefits you’ll get, depending on your job level these benefits may improve:

  • Medical/dental/vision plans, which start from day one!
  • Life and accident insurance
  • 401(K) and Roth options
  • Tax-advantaged accounts (HSA, FSA)
  • Educational expense reimbursement
  • Paid parental leave

Other benefits include:

  • Digital mental health services (Talkspace)
  • Flexible work hours (availability varies by office and job function)
  • Training programs
  • Gallagher Thrive program – elevating your health through challenges, workshops and digital fitness programs for your overall wellbeing
  • Charitable matching gift program
  • And more...

**The benefits summary above applies to fulltime positions. If you are not applying for a fulltime position, details about benefits will be provided during the selection process.

We value inclusion and diversity

Click Here to review our U.S. Eligibility Requirements

Inclusion and diversity (I&D) is a core part of our business, and it’s embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work.

Gallagher embraces our employees’ diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest.

Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as “protected characteristics”) by applicable federal, state, or local laws.

Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.

Qualifications:
  • Bachelor’s degree in Finance, Data Science, Statistics, Computer Science, or a related field; Master’s degree preferred.
  • Minimum of 8–10 years of experience in data analytics, with at least 5 years in a leadership role.
  • Experience in the insurance or risk management industry is preferred.
  • Demonstrated success translating business needs into scalable reporting and analytics solutions.
  • Proficiency in programming languages such as Python, R, and SQL, as well as visualization tools such as Tableau and Power BI. Experience working in cloud computing environments such as Snowflake.
  • Excellent analytical, problem-solving, and decision-making skills.
  • Effective communication and interpersonal skills, with the ability to convey complex data insights to non-technical stakeholders.
  • Experience leading analytics roadmaps across multiple business stakeholders while achieving project timelines.

#LI-NP1


Education:UNAVAILABLEEmployment Type: FULL_TIME

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