Salary for Senior-level / Expert Data Analytics Lead during 2024

Salary details

The average senior-level / expert Data Analytics Lead salary lies between USD 128,300 and USD 195,500 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 Senior-level / Expert Data Analytics Lead roles

The three most common job tag items assiciated with senior-level / expert 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 | 120 jobs SQL | 72 jobs Python | 71 jobs Statistics | 54 jobs Engineering | 51 jobs Power BI | 47 jobs Tableau | 44 jobs Data analysis | 40 jobs Machine Learning | 35 jobs Privacy | 35 jobs Security | 32 jobs Computer Science | 32 jobs Agile | 31 jobs Data visualization | 31 jobs Data quality | 31 jobs Research | 30 jobs Business Intelligence | 29 jobs Data management | 29 jobs R | 28 jobs Excel | 28 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert 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 | 83 jobs Health care | 48 jobs Competitive pay | 38 jobs Startup environment | 34 jobs Medical leave | 33 jobs Flex hours | 29 jobs Parental leave | 25 jobs Equity / stock options | 24 jobs Insurance | 24 jobs Salary bonus | 23 jobs Wellness | 19 jobs Team events | 19 jobs Flex vacation | 13 jobs 401(k) matching | 10 jobs Transparency | 10 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

The salary for a Senior-level/Expert Data Analytics Lead typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The composition can vary significantly based on region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher, but bonuses and stock options can also form a substantial part of the total compensation package. In contrast, companies in regions with a lower cost of living might offer a smaller base salary but compensate with other benefits. Industries such as finance or healthcare may offer higher bonuses due to the critical nature of data analytics in their operations. Larger companies often provide more comprehensive benefits and stock options compared to smaller startups, which might offer higher base salaries to attract talent.

Next Steps for Salary Increase

To increase your salary further from this position, consider pursuing leadership roles such as Director of Data Science or Chief Data Officer. These roles often come with higher compensation and greater responsibilities. Additionally, expanding your expertise in emerging technologies like AI and machine learning can make you more valuable. Networking within industry circles and attending conferences can also open up opportunities for higher-paying roles. Another strategy is to specialize in a niche area of data analytics that is in high demand, such as big data or predictive analytics, which can command a premium salary.

Educational Requirements

Most Senior-level/Expert Data Analytics Lead positions require at least a bachelor's degree in a related field such as Computer Science, Statistics, Mathematics, or Engineering. However, a master's degree or Ph.D. is often preferred, especially for roles that involve complex data modeling and machine learning. Advanced degrees provide a deeper understanding of analytical techniques and can set candidates apart in a competitive job market.

Helpful Certifications

Certifications can enhance your credentials and demonstrate expertise in specific areas. Some valuable certifications include:

• Certified Analytics Professional (CAP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Machine Learning – Specialty
• SAS Certified Data Scientist

These certifications can validate your skills and knowledge, making you a more attractive candidate for senior roles.

Required Experience

Typically, a Senior-level/Expert Data Analytics Lead role requires at least 7-10 years of experience in data analytics or a related field. This experience should include a proven track record of leading data-driven projects, managing teams, and delivering actionable insights. Experience with data visualization tools, statistical software, and programming languages like Python or R is also essential. Leadership experience and the ability to communicate complex data insights to non-technical stakeholders are highly valued.

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