Salary for Senior-level / Expert Data Analytics Manager during 2024

Salary details

The average senior-level / expert Data Analytics Manager salary lies between USD 135,800 and USD 225,000 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: 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 Engineering. 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:

Data Analytics | 46 jobs SQL | 30 jobs Engineering | 26 jobs Tableau | 20 jobs Power BI | 18 jobs Python | 17 jobs R | 15 jobs Data analysis | 15 jobs Statistics | 14 jobs Computer Science | 13 jobs Machine Learning | 12 jobs Data visualization | 10 jobs Security | 9 jobs Architecture | 9 jobs Mathematics | 9 jobs Research | 8 jobs Finance | 8 jobs Excel | 8 jobs KPIs | 8 jobs Testing | 7 jobs

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, Startup environment and Health care. 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 | 25 jobs Startup environment | 17 jobs Health care | 16 jobs Flex hours | 13 jobs Flex vacation | 11 jobs Medical leave | 10 jobs Team events | 9 jobs Equity / stock options | 8 jobs Parental leave | 8 jobs Insurance | 8 jobs Competitive pay | 6 jobs Wellness | 4 jobs Transparency | 4 jobs Salary bonus | 3 jobs 401(k) matching | 2 jobs Fitness / gym | 2 jobs Relocation support | 2 jobs Unlimited paid time off | 2 jobs Gear | 1 jobs Signing bonus | 1 jobs

Salary Composition

The salary for a Senior-level or Expert Data Analytics Manager 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.

Next Steps for Salary Increase

To increase your salary further from this position, consider the following strategies:

• Specialization: Develop expertise in a niche area of data science or analytics that is in high demand, such as machine learning, AI ethics, or big data technologies.
• Leadership Skills: Enhance your leadership and management skills to take on more significant responsibilities or transition into executive roles.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML and data science to remain competitive.
• Negotiation Skills: Improve your negotiation skills to better advocate for higher compensation during performance reviews or when switching jobs.

Educational Requirements

Most Senior-level 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 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 involve significant business strategy and leadership responsibilities.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and demonstrate your expertise to potential employers. Some valuable certifications include:

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

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

Required Experience

Typically, a Senior-level Data Analytics Manager is expected to have at least 7-10 years of experience in data analytics or related fields. This experience should include a proven track record of managing data projects, leading teams, and delivering actionable insights that drive business decisions. Experience in specific industries or with particular data tools and technologies can also be advantageous.

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