Salary for Senior-level / Expert Analytics Lead during 2024

Salary details

The average senior-level / expert Analytics Lead salary lies between USD 108,500 and USD 170,500 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: April 20, 2025

Salary trend

Top 20 Job Tags for Senior-level / Expert Analytics Lead roles

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

Python | 180 jobs Data Analytics | 169 jobs SQL | 168 jobs Statistics | 146 jobs Engineering | 113 jobs R | 97 jobs Tableau | 95 jobs Power BI | 83 jobs Computer Science | 78 jobs Machine Learning | 77 jobs Data analysis | 75 jobs Data visualization | 67 jobs Mathematics | 67 jobs Research | 62 jobs Excel | 61 jobs Testing | 60 jobs Finance | 57 jobs Economics | 53 jobs Agile | 52 jobs Business Intelligence | 50 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Analytics Lead 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 | 167 jobs Health care | 106 jobs Competitive pay | 70 jobs Equity / stock options | 64 jobs Startup environment | 61 jobs Insurance | 61 jobs Flex hours | 58 jobs Medical leave | 58 jobs Parental leave | 48 jobs Salary bonus | 44 jobs Flex vacation | 38 jobs Team events | 37 jobs Wellness | 30 jobs 401(k) matching | 29 jobs Transparency | 22 jobs Home office stipend | 22 jobs Unlimited paid time off | 15 jobs Relocation support | 12 jobs Pet friendly | 10 jobs Travel | 9 jobs

Salary Composition

The salary for a Senior-level/Expert Analytics Lead in AI/ML/Data Science 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, accounting for 70-80% of the total compensation package. Performance bonuses can vary significantly, ranging from 10-20% of the base salary, depending on the company's performance and individual achievements. Additional remuneration, such as stock options, is more common in tech companies and startups, especially in regions like Silicon Valley. In larger corporations or established industries, profit-sharing or long-term incentive plans might be more prevalent. Regional differences also play a role; for instance, salaries in major tech hubs like San Francisco or New York tend to be higher than in other regions.

Increasing Salary Further

To increase your salary beyond the median of USD 142,500, consider pursuing leadership roles that involve managing larger teams or overseeing more significant projects. Transitioning into roles such as Director of Data Science or Chief Data Officer can lead to higher compensation. Additionally, specializing in high-demand areas like AI ethics, machine learning operations (MLOps), or AI strategy can make you more valuable. Networking within industry circles and attending conferences can also open up opportunities for higher-paying roles. Finally, negotiating your salary based on market research and your proven track record can lead to better compensation packages.

Educational Requirements

Most Senior-level/Expert Analytics Lead positions require at least a master's degree in a relevant field such as Computer Science, Data Science, Statistics, or Mathematics. A Ph.D. can be advantageous, especially for roles that involve cutting-edge research or complex problem-solving. Employers often look for candidates with a strong foundation in quantitative analysis, machine learning, and data management. Additionally, coursework or experience in business analytics or strategic management can be beneficial, as these roles often require aligning data strategies with business goals.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and demonstrate expertise. Certifications such as the Certified Analytics Professional (CAP), TensorFlow Developer Certificate, or AWS Certified Machine Learning – Specialty can be valuable. These certifications show a commitment to staying current with industry trends and technologies. Additionally, completing courses from platforms like Coursera, edX, or Udacity in specialized areas like deep learning or data engineering can further bolster your credentials.

Required Experience

Typically, a Senior-level/Expert Analytics Lead role requires 7-10 years of experience in data science, analytics, or a related field. This experience should include a track record of leading successful projects, managing teams, and delivering data-driven insights that impact business decisions. Experience in a specific industry, such as finance, healthcare, or technology, can also be advantageous, as it provides domain-specific knowledge that can be critical for certain roles.

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