Analytics Lead Salary in 2024

Salary details

The average 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: 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 often constitutes the majority of the total compensation package, ranging from 60% to 80%. Performance bonuses can vary significantly depending on the company's performance and individual achievements, usually accounting for 10% to 20% of the total salary. Additional remuneration, such as stock options, is more common in tech companies and startups, potentially making up 5% to 15% of the total package. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York may include higher bonuses and stock options compared to other regions. Industry and company size further influence these components, with larger tech firms often offering more comprehensive packages.

Steps to Increase Salary

To increase your salary from the position of an Analytics Lead, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning or natural language processing can make you more valuable.
• Leadership Development: Enhance your leadership and management skills. Taking on more responsibilities or leading larger teams can justify a salary increase.
• Networking: Build a strong professional network. Engaging with industry leaders and participating in conferences can open up higher-paying opportunities.
• Advanced Education: Pursue further education, such as an MBA or a specialized master's degree, to increase your qualifications and bargaining power.
• Performance Excellence: Consistently exceed performance targets and document your achievements to leverage during salary negotiations.

Educational Requirements

Most Analytics Lead positions require at least a bachelor's degree in a relevant field such as computer science, data science, statistics, or mathematics. However, a master's degree or Ph.D. is often preferred, especially in larger organizations or more competitive markets. Advanced degrees provide a deeper understanding of complex algorithms and data analysis techniques, which are crucial for leading AI/ML projects.

Helpful Certifications

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

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• Google Professional Machine Learning Engineer: Demonstrates proficiency in designing and building ML models on Google Cloud.
• AWS Certified Machine Learning – Specialty: Shows expertise in implementing machine learning solutions on the AWS platform.
• Microsoft Certified: Azure AI Engineer Associate: Highlights skills in using Azure AI services to build and integrate AI solutions.

Required Experience

Typically, an Analytics Lead should have 5 to 10 years of experience in data science or related fields. This experience should include hands-on work with data analysis, machine learning model development, and project management. Experience in leading teams and managing projects is crucial, as the role involves overseeing the work of data scientists and analysts.

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