Analytics Lead Salary in United States during 2024

Salary details

The average 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. 22, 2024

Top 20 Job Tags for Analytics Lead roles

The three most common job tag items assiciated with 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 | 191 jobs Data Analytics | 181 jobs SQL | 178 jobs Statistics | 158 jobs Engineering | 116 jobs Tableau | 105 jobs R | 103 jobs Power BI | 86 jobs Machine Learning | 84 jobs Computer Science | 83 jobs Data analysis | 80 jobs Data visualization | 72 jobs Mathematics | 71 jobs Testing | 70 jobs Finance | 63 jobs Excel | 63 jobs Research | 62 jobs Economics | 57 jobs Agile | 57 jobs Business Intelligence | 52 jobs

Top 20 Job Perks/Benefits for Analytics Lead roles

The three most common job benefits and perks assiciated with 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 | 181 jobs Health care | 115 jobs Competitive pay | 77 jobs Startup environment | 69 jobs Equity / stock options | 66 jobs Insurance | 64 jobs Flex hours | 61 jobs Medical leave | 59 jobs Parental leave | 49 jobs Salary bonus | 46 jobs Team events | 42 jobs Flex vacation | 40 jobs Wellness | 37 jobs 401(k) matching | 31 jobs Transparency | 23 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 an 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 the fixed component and usually forms the largest part of the total compensation package. Bonuses are often tied to individual or company performance and can vary significantly depending on the industry and company size. For instance, tech companies or startups might offer substantial stock options as part of the compensation, while larger, more established firms might provide more predictable cash bonuses. Regional differences also play a role; for example, 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 from the position of an Analytics Lead, consider pursuing advanced leadership roles such as Director of Analytics or Chief Data Officer. These positions typically require a combination of technical expertise, strategic vision, and leadership skills. Additionally, expanding your skill set to include emerging technologies or methodologies in AI/ML can make you more valuable. Networking within industry circles, attending conferences, and publishing research or thought leadership pieces can also enhance your visibility and reputation, potentially leading to higher-paying opportunities.

Educational Requirements

Most Analytics Lead positions require at least a bachelor's degree in a relevant 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 discipline can provide a significant advantage by offering deeper technical knowledge and research experience.

Helpful Certifications

While not always mandatory, certain certifications can bolster your credentials and demonstrate expertise. Certifications such as Certified Analytics Professional (CAP), Google Professional Machine Learning Engineer, or AWS Certified Machine Learning can be beneficial. These certifications validate your skills in specific tools and platforms, making you more attractive to potential employers.

Experience Requirements

Typically, an Analytics Lead role requires several years of experience in data science or analytics, often ranging from 5 to 10 years. This experience should include hands-on work with data analysis, machine learning models, and statistical methods. Leadership experience, such as managing a team or leading projects, is also crucial, as the role involves guiding and mentoring junior data scientists and analysts.

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