Data Analytics Lead Salary in United States during 2024

Salary details

The average Data Analytics Lead salary lies between USD 128,300 and USD 198,400 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 Data Analytics Lead roles

The three most common job tag items assiciated with Data Analytics Lead job listings are Data Analytics, SQL and Python. 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 | 124 jobs SQL | 75 jobs Python | 74 jobs Statistics | 57 jobs Engineering | 52 jobs Tableau | 48 jobs Power BI | 48 jobs Data analysis | 42 jobs Machine Learning | 37 jobs Privacy | 35 jobs Computer Science | 34 jobs Security | 33 jobs Agile | 32 jobs Data visualization | 32 jobs Data quality | 31 jobs R | 30 jobs Research | 30 jobs Business Intelligence | 30 jobs Excel | 29 jobs Data management | 29 jobs

Top 20 Job Perks/Benefits for Data Analytics Lead roles

The three most common job benefits and perks assiciated with Data 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 | 87 jobs Health care | 51 jobs Competitive pay | 40 jobs Startup environment | 37 jobs Medical leave | 34 jobs Flex hours | 31 jobs Parental leave | 26 jobs Insurance | 26 jobs Equity / stock options | 25 jobs Salary bonus | 25 jobs Wellness | 21 jobs Team events | 20 jobs Flex vacation | 15 jobs 401(k) matching | 11 jobs Transparency | 11 jobs Relocation support | 9 jobs Unlimited paid time off | 7 jobs Home office stipend | 5 jobs Conferences | 4 jobs Fertility benefits | 4 jobs

Salary Composition

In the United States, the salary composition for a Data 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's performance and individual achievements, usually accounting for 10% to 20% of the total compensation. Additional remuneration, such as stock options, is more common in larger tech companies or startups and can make up 5% to 15% of the total package. The exact composition can vary based on the region, with tech hubs like Silicon Valley offering higher equity components, while industries such as finance might offer more substantial bonuses. Company size also plays a role, with larger companies typically providing more structured bonus and equity plans.

Increasing Salary

To increase your salary further from the position of a Data 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, natural language processing, or AI ethics can make you more valuable.
• Leadership Roles: Aim for roles with greater responsibility, such as a Director of Data Science or Chief Data Officer, which naturally come with higher compensation.
• Industry Transition: Consider moving to industries that pay higher salaries for data roles, such as finance, healthcare, or tech.
• Networking and Visibility: Increase your professional visibility by speaking at conferences, publishing papers, or contributing to open-source projects. This can lead to better job offers or promotions.
• Negotiation: Always negotiate your salary and benefits when taking on a new role or during performance reviews.

Educational Requirements

Most Data 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 or for roles with a strong focus on AI/ML. Advanced degrees provide a deeper understanding of complex algorithms and data structures, which are crucial for leading data science teams effectively.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credibility and demonstrate your commitment to the field. Some valuable certifications include:

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• Google Professional Machine Learning Engineer: Demonstrates proficiency in designing, building, and productionizing ML models.
• AWS Certified Machine Learning – Specialty: Shows expertise in using AWS services for machine learning.
• Microsoft Certified: Azure Data Scientist Associate: Focuses on using Azure services for data science solutions.

Required Experience

Typically, a Data Analytics Lead is expected to have 5 to 10 years of experience in data science or analytics roles. This experience should include hands-on work with data analysis, statistical modeling, and machine learning. Leadership experience, such as managing teams or projects, is also crucial, as the role involves guiding and mentoring junior data scientists and analysts.

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