Salary for Executive-level / Director Analytics Engineer during 2023

Salary details

The average executive-level / director Analytics Engineer salary lies between USD 170,000 and USD 221,000 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. 17, 2024

Salary trend

Top 20 Job Tags for Executive-level / Director Analytics Engineer roles

The three most common job tag items assiciated with executive-level / director Analytics Engineer job listings are Engineering, Python and SQL. 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:

Engineering | 9 jobs Python | 8 jobs SQL | 7 jobs Architecture | 4 jobs Data warehouse | 4 jobs R | 3 jobs Looker | 3 jobs Data Analytics | 3 jobs Consulting | 3 jobs BigQuery | 3 jobs Snowflake | 3 jobs Excel | 3 jobs Pipelines | 3 jobs APIs | 3 jobs Computer Science | 3 jobs Machine Learning | 2 jobs Spark | 2 jobs Redshift | 2 jobs Tableau | 2 jobs AWS | 2 jobs

Top 20 Job Perks/Benefits for Executive-level / Director Analytics Engineer roles

The three most common job benefits and perks assiciated with executive-level / director Analytics Engineer job listings are Startup environment, Health care and Career development. 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:

Startup environment | 7 jobs Health care | 6 jobs Career development | 6 jobs Parental leave | 3 jobs Flex hours | 3 jobs Flex vacation | 3 jobs Insurance | 3 jobs Salary bonus | 3 jobs 401(k) matching | 2 jobs Equity / stock options | 2 jobs Competitive pay | 2 jobs Team events | 2 jobs Medical leave | 1 jobs Home office stipend | 1 jobs Unlimited paid time off | 1 jobs

Salary Composition

The salary for an Executive-level or Director Analytics Engineer typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary often constitutes the majority of the total compensation package, ranging from 60% to 80%. Performance bonuses can vary significantly, often between 10% to 30% of the base salary, depending on the company's performance and individual achievements. Additional remuneration, such as stock options, can be a significant part of the package, particularly in startups or large tech firms, and may account for 10% to 20% of the total compensation. The composition can vary by region, with tech hubs like Silicon Valley offering higher equity components, while traditional industries might focus more on cash bonuses. Company size also plays a role, with larger companies often providing more structured bonus plans and smaller companies offering more equity.

Increasing Salary Further

To increase your salary beyond the current position, consider pursuing roles with greater responsibility, such as a Vice President of Analytics or Chief Data Officer. Expanding your skill set to include strategic business acumen and leadership capabilities can make you a more attractive candidate for higher-level positions. Networking within industry circles and attending relevant conferences can also open doors to new opportunities. Additionally, gaining experience in high-demand areas such as AI ethics, data privacy, or emerging technologies can position you as a thought leader, potentially leading to consulting opportunities or board positions that offer additional income streams.

Educational Requirements

Most Executive-level or Director Analytics Engineer positions require at least a bachelor's degree in a relevant field such as Computer Science, Data Science, Statistics, or Engineering. However, a master's degree or Ph.D. is often preferred, particularly in larger organizations or more competitive markets. Advanced degrees in Business Administration (MBA) with a focus on analytics or technology management can also be beneficial, as they provide a blend of technical and managerial skills that are highly valued in leadership roles.

Helpful Certificates

While not always mandatory, certain certifications can enhance your credibility and demonstrate your commitment to the field. Certifications such as Certified Analytics Professional (CAP), Google Professional Data Engineer, or AWS Certified Machine Learning can be advantageous. Additionally, certifications in project management, such as PMP or Agile methodologies, can be beneficial, as they highlight your ability to manage complex projects and lead teams effectively.

Required Experience

Typically, candidates for this role are expected to have at least 10-15 years of experience in data science, analytics, or a related field. This experience should include a proven track record of leading teams, managing large-scale projects, and delivering data-driven insights that have a tangible impact on business outcomes. Experience in a specific industry can also be valuable, as it provides domain expertise that can be leveraged to drive strategic initiatives.

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