Salary for Senior-level / Expert Insight Analyst in United States during 2024

Salary details

The average senior-level / expert Insight Analyst salary lies between USD 73,632 and USD 117,728 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. 22, 2024

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

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

SQL | 63 jobs Excel | 51 jobs Python | 41 jobs Statistics | 37 jobs E-commerce | 32 jobs Power BI | 29 jobs R | 27 jobs Tableau | 27 jobs Research | 26 jobs Testing | 24 jobs Data analysis | 22 jobs KPIs | 17 jobs Privacy | 14 jobs Data Analytics | 13 jobs Data visualization | 12 jobs Mathematics | 12 jobs Economics | 11 jobs Agile | 11 jobs Computer Science | 11 jobs Business Intelligence | 9 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Insight Analyst job listings are Career development, Flex hours and Medical leave. 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 | 64 jobs Flex hours | 49 jobs Medical leave | 37 jobs Salary bonus | 35 jobs Health care | 22 jobs Startup environment | 20 jobs Team events | 16 jobs Parental leave | 15 jobs Flex vacation | 13 jobs Equity / stock options | 7 jobs Insurance | 7 jobs Fitness / gym | 6 jobs Competitive pay | 6 jobs Conferences | 6 jobs 401(k) matching | 3 jobs Relocation support | 2 jobs Lunch / meals | 1 jobs Wellness | 1 jobs Travel | 1 jobs Transparency | 1 jobs

Salary Composition

The salary for a Senior-level/Expert Insight Analyst in AI/ML/Data Science typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the largest part of the total compensation package. Performance bonuses can vary significantly depending on the company's profitability and individual performance metrics. Additional remuneration might include stock options, especially in tech companies or startups, and benefits like health insurance, retirement plans, and paid time off.

The composition can vary based on several factors: - Region: Salaries in tech hubs like San Francisco or New York are generally higher due to the cost of living and demand for talent. - Industry: Tech companies, finance, and healthcare often offer higher salaries compared to academia or non-profits. - Company Size: Larger companies may offer more comprehensive benefits and bonuses, while startups might offer equity as part of the compensation package.

Increasing Salary

To increase your salary from this position, consider the following strategies: - Skill Enhancement: Continuously update your skills in emerging technologies and tools in AI/ML and data science. - Advanced Education: Pursue advanced degrees or specialized certifications that are in demand. - Leadership Roles: Transition into managerial or leadership roles that offer higher pay scales. - Industry Switch: Consider moving to industries that pay higher for similar roles, such as finance or tech. - Networking: Build a strong professional network to learn about higher-paying opportunities and negotiate better offers.

Educational Requirements

Most Senior-level/Expert Insight 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 or Ph.D. is often preferred, especially for roles that require deep technical expertise or research capabilities. Advanced degrees can also provide a competitive edge and open up opportunities for higher-level positions.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise: - Certified Analytics Professional (CAP) - Google Professional Machine Learning Engineer - Microsoft Certified: Azure AI Engineer Associate - AWS Certified Machine Learning – Specialty - Data Science Council of America (DASCA) Certifications

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

Required Experience

Typically, a Senior-level/Expert Insight Analyst role requires 5-10 years of experience in data analysis, machine learning, or a related field. Experience in handling large datasets, proficiency in programming languages like Python or R, and expertise in data visualization tools are often expected. Experience in leading projects or teams can also be crucial for senior roles.

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