Salary for Senior-level / Expert Data Analyst during 2024

Salary details

The average senior-level / expert Data Analyst salary lies between USD 95,000 and USD 155,000 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: Jan. 19, 2025

Salary trend

Top 20 Job Tags for Senior-level / Expert Data Analyst roles

The three most common job tag items assiciated with senior-level / expert Data Analyst job listings are SQL, Python and Statistics. 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:

SQL | 3735 jobs Python | 2685 jobs Statistics | 2334 jobs Tableau | 2291 jobs Data analysis | 2207 jobs Engineering | 1889 jobs Power BI | 1612 jobs Excel | 1597 jobs Data Analytics | 1505 jobs R | 1399 jobs Data visualization | 1371 jobs Computer Science | 1263 jobs Finance | 1176 jobs Mathematics | 1139 jobs Testing | 1132 jobs Research | 1122 jobs Data quality | 1038 jobs Business Intelligence | 980 jobs Machine Learning | 819 jobs Looker | 808 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Data Analyst job listings are Career development, Health care and Flex hours. 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 | 2855 jobs Health care | 1979 jobs Flex hours | 1395 jobs Competitive pay | 1143 jobs Equity / stock options | 1093 jobs Startup environment | 1076 jobs Team events | 993 jobs Flex vacation | 942 jobs Insurance | 912 jobs Parental leave | 802 jobs Salary bonus | 759 jobs Medical leave | 736 jobs Wellness | 555 jobs 401(k) matching | 552 jobs Fitness / gym | 234 jobs Transparency | 227 jobs Home office stipend | 195 jobs Gear | 177 jobs Unlimited paid time off | 164 jobs Flexible spending account | 138 jobs

Salary Composition

The salary for a Senior-level or Expert Data Analyst in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The composition can vary significantly depending on the 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 might offer higher bonuses due to the critical nature of data analysis in their operations. Larger companies often provide more comprehensive benefits packages, including retirement plans and health insurance, which can add significant value to the overall compensation.

Next Steps for Salary Increase

To increase your salary further from a Senior-level Data Analyst position, consider transitioning into roles with greater responsibility, such as Data Science Manager or Director of Analytics. These positions often come with higher pay scales. Additionally, specializing in high-demand areas like machine learning engineering or AI research can make you more valuable. Pursuing advanced certifications or a master's degree in data science or a related field can also enhance your qualifications. Networking within the industry and attending conferences can open up opportunities for higher-paying roles. Finally, gaining experience in leading projects or teams can demonstrate your leadership capabilities, making you a strong candidate for promotions.

Educational Requirements

Most Senior-level Data Analyst 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 in data science, analytics, or a related discipline is often preferred and can set you apart from other candidates. Advanced degrees provide a deeper understanding of complex data analysis techniques and tools, which are crucial for senior roles. Additionally, coursework in machine learning, artificial intelligence, and big data technologies can be particularly beneficial.

Helpful Certifications

Several certifications can be advantageous for a Senior-level Data Analyst role. The Certified Analytics Professional (CAP) is widely recognized and demonstrates a high level of expertise in analytics. Other valuable certifications include the Microsoft Certified: Azure Data Scientist Associate, Google Professional Data Engineer, and AWS Certified Machine Learning – Specialty. These certifications validate your skills in specific platforms and tools, which can be crucial depending on the technology stack used by your prospective employer. Additionally, certifications in programming languages like Python or R, and data visualization tools like Tableau or Power BI, can also be beneficial.

Required Experience

Typically, a Senior-level Data Analyst is expected to have at least 5-7 years of experience in data analysis or a related field. This experience should include a proven track record of handling complex data projects, using advanced analytical techniques, and delivering actionable insights. Experience in leading projects or mentoring junior analysts can also be advantageous. Familiarity with industry-specific data challenges and solutions can be a plus, especially if you are targeting a particular sector like finance, healthcare, or technology.

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