Salary for Senior-level / Expert Product Analyst during 2024

Salary details

The average senior-level / expert Product Analyst salary lies between USD 115,440 and USD 203,000 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: Nov. 17, 2024

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

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

Python | 98 jobs SQL | 97 jobs Statistics | 82 jobs Tableau | 70 jobs Engineering | 63 jobs A/B testing | 56 jobs Testing | 48 jobs Data analysis | 43 jobs R | 41 jobs KPIs | 41 jobs Looker | 38 jobs Data visualization | 32 jobs Mathematics | 32 jobs Machine Learning | 31 jobs Research | 29 jobs Power BI | 27 jobs Computer Science | 26 jobs Economics | 24 jobs Excel | 23 jobs Data Analytics | 19 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Product Analyst job listings are Career development, Startup environment and Health care. 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 | 73 jobs Startup environment | 51 jobs Health care | 43 jobs Equity / stock options | 40 jobs Competitive pay | 31 jobs Medical leave | 31 jobs Team events | 30 jobs Parental leave | 29 jobs Flex hours | 26 jobs Insurance | 19 jobs Flex vacation | 18 jobs Salary bonus | 14 jobs 401(k) matching | 7 jobs Lunch / meals | 7 jobs Wellness | 7 jobs Gear | 7 jobs Fitness / gym | 7 jobs Paid sabbatical | 7 jobs Relocation support | 4 jobs Yoga | 4 jobs

Salary Composition

The salary for a Senior-level or Expert Product Analyst in AI/ML/Data Science typically comprises a base salary, performance 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 60% to 80%. Performance bonuses can vary significantly, often between 10% to 20% of the total compensation, depending on the company's performance and individual achievements. Additional remuneration, such as stock options, can be a significant part of the package, particularly in startups or large tech firms, and may account for 10% to 20% of the total compensation. The composition can vary by region, with tech hubs like Silicon Valley offering higher equity components, while regions with a lower cost of living might offer a higher percentage of fixed salary. Industry and company size also play a role, with larger companies often providing more structured bonus and equity packages.

Increasing Salary Further

To increase your salary beyond the median of USD 168,250, consider pursuing leadership roles such as a Product Manager or Director of Product Analytics. These positions often come with higher compensation and greater responsibilities. Additionally, specializing in a niche area within AI/ML, such as natural language processing or computer vision, can make you more valuable and justify a higher salary. Networking within the industry and building a strong personal brand through speaking engagements, publications, or contributions to open-source projects can also enhance your visibility and lead to higher-paying opportunities. Finally, consider negotiating your compensation package by leveraging offers from other companies or demonstrating your impact on the company's bottom line.

Educational Requirements

Most Senior-level Product Analyst roles in AI/ML/Data Science require at least a bachelor's degree in a relevant field such as Computer Science, Data Science, Statistics, or Engineering. However, a master's degree or Ph.D. is often preferred, especially for expert-level positions. Advanced degrees provide a deeper understanding of complex algorithms and data analysis techniques, which are crucial for high-level roles. Additionally, coursework in business or management can be beneficial, as these roles often require a blend of technical and business acumen.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and demonstrate your expertise to potential employers. Certifications such as the Certified Analytics Professional (CAP), Google Professional Machine Learning Engineer, or AWS Certified Machine Learning – Specialty can be valuable. These certifications validate your skills in data analysis, machine learning, and cloud-based AI solutions, making you a more competitive candidate. Additionally, certifications in specific tools or programming languages, such as Python or R, can also be advantageous.

Required Experience

Typically, a Senior-level Product Analyst in AI/ML/Data Science is expected to have at least 5 to 10 years of relevant experience. This experience should include a strong background in data analysis, machine learning, and product management. Experience in leading projects, collaborating with cross-functional teams, and delivering data-driven insights that influence product strategy is crucial. Additionally, experience in a specific industry, such as finance, healthcare, or technology, can be beneficial, as it provides domain-specific knowledge that can enhance your effectiveness in the role.

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