Salary for Senior-level / Expert Data Analytics Manager during 2023

💰 The median Salary for Senior-level / Expert Data Analytics Manager during 2023 is USD 152,500

✏️ This salary info is based on 8 individual salaries reported during 2023

Salary details

The average senior-level / expert Data Analytics Manager salary lies between USD 130,900 and USD 190,000 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.

Job title: Data Analytics Manager

Experience: Senior-level / Expert

Region: global/worldwide

Salary year: 2023

Sample size: 8

Top 10%: $ 254,500

Top 25%: $ 190,000

Median: $ 152,500

Bottom 25%: $ 130,900

Bottom 10%: $ 120,000

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 Senior-level / Expert Data Analytics Manager roles

The three most common job tag items assiciated with senior-level / expert Data Analytics Manager job listings are Data Analytics, SQL and Python. 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:

Top 20 Job Perks/Benefits for Senior-level / Expert Data Analytics Manager roles

The three most common job benefits and perks assiciated with senior-level / expert Data Analytics Manager job listings are Career development, Health care and Flex hours. 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:

Salary Composition

The salary for a Senior-level/Expert Data Analytics Manager typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary is often the largest component, accounting for approximately 70-80% of the total compensation package. Bonuses can vary significantly depending on the company's performance and individual achievements, usually ranging from 10-20% of the total salary. Additional remuneration, such as stock options or profit-sharing, can make up the remaining 5-10%, though this can be higher in tech companies or startups. Regional differences also play a role; for instance, salaries in tech hubs like Silicon Valley or New York City tend to be higher due to the cost of living and competitive job market. Industry and company size further influence salary composition, with larger tech firms often offering more substantial bonuses and stock options compared to smaller companies or those in non-tech industries.

Increasing Salary

To increase your salary from this position, consider pursuing advanced leadership roles such as Director of Data Science or Chief Data Officer. These roles often come with higher compensation packages. Additionally, expanding your skill set to include expertise in emerging technologies like artificial intelligence, machine learning, and big data analytics can make you more valuable to employers. Networking within industry circles and attending relevant conferences can also open up opportunities for higher-paying positions. Negotiating your salary during performance reviews or when taking on additional responsibilities can also lead to salary increases.

Educational Requirements

Most Senior-level/Expert Data Analytics Manager 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 in competitive markets. Advanced degrees in data science, business analytics, or a related field can provide a significant advantage. Additionally, coursework in business management or an MBA can be beneficial for those looking to move into higher leadership roles.

Helpful Certifications

Certifications can enhance your qualifications and demonstrate your expertise to potential employers. Some common and helpful certifications include:

Certified Analytics Professional (CAP)
Microsoft Certified: Azure Data Scientist Associate
Google Professional Data Engineer
AWS Certified Machine Learning – Specialty
SAS Certified Data Scientist

These certifications can validate your skills in data analytics, machine learning, and cloud computing, making you a more attractive candidate for senior roles.

Required Experience

Typically, a Senior-level/Expert Data Analytics Manager is expected to have at least 7-10 years of experience in data analytics or a related field. This experience should include a proven track record of managing data analytics projects, leading teams, and delivering actionable insights that drive business decisions. Experience in specific industries, such as finance, healthcare, or technology, can also be advantageous, as it provides domain-specific knowledge that can be critical for certain roles.

Related salaries

Data Analytics Manager @ $ 140,000 (global) Details

Data Analytics Manager @ $ 140,000 (global) - Mid-level / Intermediate Details

Data Analytics Manager @ $ 142,500 (United States) Details

Data Analytics Manager @ $ 140,000 (United States) - Mid-level / Intermediate Details

Data Analytics Manager @ $ 152,500 (United States) - Senior-level / Expert Details

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