Salary for Executive-level / Director Data Analyst during 2023

Salary details

The average executive-level / director Data Analyst salary lies between USD 70,000 and USD 145,000 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: Nov. 24, 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 SQL, Statistics and Excel. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

SQL | 25 jobs Statistics | 19 jobs Excel | 17 jobs Python | 16 jobs Tableau | 15 jobs Data analysis | 15 jobs Data Analytics | 13 jobs Power BI | 13 jobs R | 12 jobs Engineering | 12 jobs Research | 11 jobs Economics | 11 jobs Mathematics | 11 jobs Privacy | 11 jobs KPIs | 8 jobs Looker | 7 jobs Business Intelligence | 7 jobs Security | 7 jobs Data visualization | 7 jobs Computer Science | 7 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 Health care, Career development and Startup environment. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Health care | 21 jobs Career development | 21 jobs Startup environment | 12 jobs Flex hours | 10 jobs Competitive pay | 9 jobs Medical leave | 9 jobs Equity / stock options | 8 jobs Wellness | 6 jobs Team events | 6 jobs Salary bonus | 5 jobs Flex vacation | 4 jobs Insurance | 4 jobs Parental leave | 3 jobs Relocation support | 3 jobs Yoga | 2 jobs Unlimited paid time off | 2 jobs 401(k) matching | 1 jobs Travel | 1 jobs Gear | 1 jobs Home office stipend | 1 jobs

Salary Composition

The salary for an Executive-level or Director Data Analyst role typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is often the largest component, providing a stable income. Performance bonuses are usually tied to individual, team, or company performance metrics and can vary significantly. Additional remuneration, like stock options, is more common in tech companies or startups and can be a significant part of the total compensation package.

Regional differences play a crucial role in salary composition. For instance, salaries in tech hubs like Silicon Valley or New York City tend to be higher due to the cost of living and demand for talent. Industry also impacts salary; finance and tech industries often offer higher compensation compared to non-profit or public sectors. Company size can influence salary as well, with larger companies typically offering more comprehensive compensation packages, including better benefits and bonuses.

Increasing Salary

To increase your salary from an Executive-level or Director Data Analyst position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and methodologies in AI/ML and data science. Specializing in niche areas can make you more valuable.

• Leadership Roles: Aim for roles with greater responsibility, such as leading larger teams or managing cross-functional projects. This can demonstrate your capability to handle more significant challenges and justify a higher salary.

• Networking: Build a strong professional network. Engaging with industry leaders and participating in conferences can open up opportunities for higher-paying roles.

• Negotiation: When discussing salary, be prepared to negotiate. Research industry standards and be ready to articulate your value to the organization.

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 Engineering. However, a master's degree or Ph.D. is often preferred, especially for roles that demand a deep understanding of complex data systems and advanced analytical techniques. An MBA can also be beneficial, particularly for roles that require a strong understanding of business strategy and leadership.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credibility and demonstrate your commitment to the field. Some valuable certifications include:

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• Google Professional Data Engineer: Demonstrates proficiency in designing, building, and operationalizing data processing systems.
• AWS Certified Machine Learning – Specialty: Shows expertise in building, training, tuning, and deploying machine learning models on AWS.

Required Experience

Typically, a minimum of 8-10 years of experience in data analysis, data science, or a related field is required for an Executive-level or Director Data Analyst role. This experience should include a proven track record of managing data projects, leading teams, and delivering actionable insights that drive business decisions. Experience in strategic planning and a deep understanding of industry-specific data challenges are also crucial.

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