Salary for Senior-level / Expert Analytics Lead in United States during 2024

Salary details

The average senior-level / expert Analytics Lead salary lies between USD 114,000 and USD 188,640 in the United States. 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.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 15, 2024

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 | 182 jobs Data Analytics | 173 jobs SQL | 170 jobs Statistics | 149 jobs Engineering | 114 jobs R | 97 jobs Tableau | 97 jobs Power BI | 81 jobs Machine Learning | 79 jobs Computer Science | 77 jobs Data analysis | 76 jobs Data visualization | 69 jobs Mathematics | 69 jobs Testing | 65 jobs Research | 61 jobs Excel | 61 jobs Finance | 60 jobs Economics | 54 jobs Agile | 53 jobs Business Intelligence | 49 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 | 170 jobs Health care | 109 jobs Competitive pay | 73 jobs Equity / stock options | 65 jobs Startup environment | 64 jobs Insurance | 60 jobs Flex hours | 57 jobs Medical leave | 57 jobs Parental leave | 47 jobs Salary bonus | 44 jobs Flex vacation | 37 jobs Team events | 36 jobs Wellness | 33 jobs 401(k) matching | 28 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

In the United States, the salary composition for a Senior-level/Expert Analytics Lead in AI/ML/Data Science typically includes a combination of a fixed base salary, performance-based 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 70% to 85%. Bonuses can vary significantly depending on the company and industry, typically ranging from 10% to 20% of the base salary. Additional remuneration, such as stock options, is more common in larger tech companies and startups, potentially adding another 5% to 15% to the total compensation. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job market.

Increasing Salary

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

• Specialize in High-Demand Areas: Focus on niche areas within AI/ML, such as deep learning, natural language processing, or computer vision, which are in high demand and can command higher salaries.
• Leadership and Management Skills: Develop strong leadership and project management skills to transition into roles like Director of Data Science or Chief Data Officer, which offer higher compensation.
• Networking and Industry Engagement: Actively participate in industry conferences, workshops, and seminars to expand your professional network and stay updated on industry trends, which can lead to higher-paying opportunities.
• Continuous Learning: Pursue advanced certifications or further education, such as an MBA or a specialized master's degree, to enhance your qualifications and bargaining power.

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 research or advanced technical work. Employers often look for candidates with a strong foundation in quantitative analysis, programming, and machine learning algorithms.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• AWS Certified Machine Learning – Specialty: Demonstrates your skills in building, training, and deploying machine learning models on the AWS platform.
• Google Professional Machine Learning Engineer: Shows proficiency in designing, building, and productionizing ML models using Google Cloud technologies.
• TensorFlow Developer Certificate: Highlights your ability to build and deploy machine learning models using TensorFlow.

Required Experience

Typically, a Senior-level/Expert Analytics Lead role requires 7 to 10 years of experience in data science, analytics, or a related field. This experience should include a proven track record of leading projects, managing teams, and delivering data-driven solutions. Experience in a specific industry, such as finance, healthcare, or technology, can also be beneficial.

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