Salary for Executive-level / Director Data Analyst during 2024

Salary details

The average executive-level / director Data Analyst salary lies between USD 79,595 and USD 132,500 globally. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 22, 2024

Salary trend

Top 20 Job Tags for Executive-level / Director Data Analyst roles

The three most common job tag items assiciated with executive-level / director Data Analyst job listings are Excel, Data analysis and SQL. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Excel | 38 jobs Data analysis | 38 jobs SQL | 36 jobs Research | 33 jobs Data Analytics | 29 jobs Statistics | 26 jobs Python | 25 jobs Tableau | 24 jobs Data quality | 24 jobs Testing | 19 jobs Data visualization | 18 jobs Banking | 17 jobs Finance | 17 jobs Engineering | 14 jobs Power BI | 14 jobs Data management | 14 jobs Agile | 12 jobs Data governance | 12 jobs Mathematics | 11 jobs Computer Science | 10 jobs

Top 20 Job Perks/Benefits for Executive-level / Director Data Analyst roles

The three most common job benefits and perks assiciated with executive-level / director Data Analyst job listings are Career development, Health care and Competitive pay. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 43 jobs Health care | 40 jobs Competitive pay | 40 jobs Wellness | 22 jobs Startup environment | 18 jobs Flex hours | 15 jobs Medical leave | 13 jobs Insurance | 11 jobs Transparency | 10 jobs Team events | 8 jobs Salary bonus | 8 jobs Parental leave | 6 jobs Flex vacation | 5 jobs Unlimited paid time off | 4 jobs 401(k) matching | 3 jobs Equity / stock options | 3 jobs Travel | 3 jobs Conferences | 1 jobs Flexible spending account | 1 jobs

Salary Composition

The salary for an Executive-level or Director Data Analyst position typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or profit-sharing. The composition can vary significantly depending on the region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher, but bonuses and stock options can also form a substantial part of the total compensation package. In contrast, companies in regions with a lower cost of living might offer a lower base salary but compensate with higher bonuses or other benefits. Industries such as finance or healthcare may offer higher bonuses compared to non-profit sectors. Larger companies often provide more comprehensive benefits and stock options, while smaller companies might offer higher base salaries to attract top talent.

Increasing Salary

To increase your salary from this position, consider pursuing further specialization or leadership roles. Transitioning into a Chief Data Officer or a similar executive role can significantly boost your earning potential. Networking within your industry and building a strong personal brand can open doors to higher-paying opportunities. Additionally, gaining expertise in emerging technologies or methodologies, such as AI ethics or advanced machine learning techniques, can make you more valuable to employers. Negotiating your salary based on market research and demonstrating your impact on the company's bottom line can also be effective strategies.

Educational Requirements

Most Executive-level or Director Data Analyst positions require at least a bachelor's degree in a related field such as Computer Science, Statistics, Mathematics, or Data Science. However, a master's degree or even a Ph.D. can be advantageous, especially for roles in research-intensive industries or academia. An MBA can also be beneficial for those looking to move into more strategic or business-oriented roles, as it provides a strong foundation in management and business operations.

Helpful Certificates

Several certifications can enhance your qualifications for this role. The Certified Analytics Professional (CAP) is widely recognized and demonstrates your ability to transform data into valuable insights. Other valuable certifications include the Microsoft Certified: Azure Data Scientist Associate, Google Professional Data Engineer, and AWS Certified Machine Learning – Specialty. These certifications not only validate your technical skills but also show your commitment to staying current with industry trends.

Required Experience

Typically, this role requires extensive experience in data analysis, machine learning, or a related field, often ranging from 7 to 10 years. Experience in leading teams, managing projects, and developing data-driven strategies is crucial. A proven track record of delivering impactful data solutions and the ability to communicate complex data insights to non-technical stakeholders are also important. Experience in a specific industry can be beneficial, as it provides context and understanding of industry-specific challenges and opportunities.

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