Salary for Mid-level / Intermediate Product Analyst during 2024

Salary details

The average mid-level / intermediate Product Analyst salary lies between USD 76,000 and USD 130,000 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: Dec. 22, 2024

Top 20 Job Tags for Mid-level / Intermediate Product Analyst roles

The three most common job tag items assiciated with mid-level / intermediate 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 | 31 jobs SQL | 31 jobs Statistics | 26 jobs Engineering | 22 jobs Machine Learning | 15 jobs Data analysis | 15 jobs R | 14 jobs Tableau | 14 jobs Looker | 12 jobs Mathematics | 12 jobs ETL | 11 jobs Power BI | 11 jobs Testing | 10 jobs A/B testing | 10 jobs Computer Science | 10 jobs Research | 9 jobs Economics | 9 jobs Data management | 9 jobs Data visualization | 8 jobs Business Intelligence | 7 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Product Analyst roles

The three most common job benefits and perks assiciated with mid-level / intermediate Product Analyst job listings are Career development, Flex hours 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 | 22 jobs Flex hours | 13 jobs Health care | 11 jobs Startup environment | 11 jobs Equity / stock options | 10 jobs Competitive pay | 8 jobs Flex vacation | 6 jobs Wellness | 6 jobs Medical leave | 6 jobs Parental leave | 5 jobs Insurance | 4 jobs Salary bonus | 4 jobs Unlimited paid time off | 3 jobs 401(k) matching | 2 jobs Gear | 2 jobs Relocation support | 2 jobs Lunch / meals | 1 jobs Yoga | 1 jobs Home office stipend | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Product Analyst in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The fixed base salary is the largest component, often accounting for 70-80% of the total compensation package. Performance bonuses can vary significantly, ranging from 10-20% of the base salary, depending on individual and company performance. Additional remuneration, such as stock options, profit-sharing, or benefits like health insurance and retirement contributions, can make up the remaining 5-10%.

Regional differences play a significant role in salary composition. For instance, tech hubs like San Francisco or New York may offer higher base salaries and stock options, while regions with a lower cost of living might offer more modest packages. Industry also influences compensation; tech companies often provide more lucrative stock options, whereas traditional industries might focus more on cash bonuses. Company size can affect the package as well, with larger companies typically offering more comprehensive benefits and smaller startups potentially offering more equity.

Steps to Increase Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your technical skills, especially in emerging AI/ML technologies, data analysis tools, and programming languages. This can make you more valuable to your current or potential employers.

• Advanced Education: Pursuing a master's degree or specialized certifications in data science or AI can position you for higher-paying roles.

• Networking: Engage with industry professionals through conferences, workshops, and online platforms like LinkedIn. Networking can open doors to new opportunities and provide insights into higher-paying roles.

• Performance Excellence: Consistently exceed performance expectations in your current role. Demonstrating your impact on the company's success can be a strong case for a salary increase.

• Negotiation Skills: Develop strong negotiation skills to effectively advocate for higher compensation during performance reviews or when considering new job offers.

Educational Requirements

Most mid-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. Some positions may prefer candidates with a master's degree, especially in competitive markets or for roles with a strong technical focus. A solid foundation in mathematics, statistics, and programming is essential, as these skills are critical for data analysis and model development.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and demonstrate your expertise to potential employers. Some valuable certifications include:

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• Google Professional Data Engineer: Demonstrates proficiency in designing and managing data solutions on Google Cloud.
• AWS Certified Machine Learning – Specialty: Shows expertise in building, training, and deploying machine learning models on AWS.
• Microsoft Certified: Azure Data Scientist Associate: Validates skills in using Azure's machine learning services.

Required Experience

Typically, a mid-level product analyst role requires 3-5 years of experience in data analysis, product management, or a related field. Experience in AI/ML projects, data visualization, and working with cross-functional teams is highly valued. Familiarity with data analysis tools like Python, R, SQL, and platforms like Tableau or Power BI is often expected. Experience in a specific industry can also be beneficial, as it provides context and understanding of industry-specific challenges and data.

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