Salary for Mid-level / Intermediate Insight Analyst during 2023

Salary details

The average mid-level / intermediate Insight Analyst salary lies between USD 43,064 and USD 51,676 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: Oct. 28, 2024

Salary trend

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

The three most common job tag items assiciated with mid-level / intermediate Insight Analyst job listings are SQL, Power BI and Agile. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

SQL | 9 jobs Power BI | 6 jobs Agile | 6 jobs Python | 5 jobs Research | 5 jobs Consulting | 5 jobs Data analysis | 5 jobs Tableau | 4 jobs Statistics | 4 jobs Big Data | 3 jobs Open Source | 3 jobs Business Intelligence | 3 jobs Engineering | 3 jobs BigQuery | 3 jobs CX | 3 jobs Excel | 3 jobs Microservices | 3 jobs Jira | 3 jobs Data warehouse | 3 jobs JavaScript | 2 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Insight Analyst job listings are Career development, Team events and Parental leave. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Career development | 10 jobs Team events | 6 jobs Parental leave | 4 jobs Startup environment | 3 jobs Flex hours | 2 jobs Health care | 2 jobs Unlimited paid time off | 2 jobs Flex vacation | 1 jobs Fitness / gym | 1 jobs Competitive pay | 1 jobs Snacks / Drinks | 1 jobs Medical leave | 1 jobs Salary bonus | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Insight Analyst in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The composition can vary significantly depending on the region, industry, and company size. In tech hubs like Silicon Valley or New York, the base salary might be higher, but the cost of living is also elevated. In contrast, regions with a lower cost of living might offer a smaller base salary but could compensate with more substantial bonuses or stock options. Industries such as finance or healthcare might offer higher bonuses due to the critical nature of data insights in their operations. Larger companies often provide more comprehensive benefits packages, including health insurance, retirement plans, and professional development opportunities, which can add significant value to the overall compensation package.

Increasing Salary

To increase your salary from this position, consider pursuing advanced education or certifications that enhance your expertise and marketability. Networking within the industry can also open doors to higher-paying opportunities. Gaining experience in high-demand areas such as machine learning engineering or data architecture can make you more valuable. Additionally, taking on leadership roles or projects that demonstrate your ability to drive business impact can position you for promotions or salary negotiations. Exploring opportunities in industries known for higher compensation, such as finance or tech, can also be a strategic move.

Educational Requirements

Most Mid-level/Intermediate Insight Analyst positions require at least a bachelor's degree in a related field such as computer science, statistics, mathematics, or data science. However, a master's degree can be advantageous and is often preferred by employers, especially for roles that require more complex data analysis and modeling skills. A strong foundation in quantitative analysis, programming, and data visualization is essential, and coursework in machine learning, artificial intelligence, and business analytics can be particularly beneficial.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your commitment to professional development. 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 in data analysis, machine learning, and cloud-based data solutions, making you a more competitive candidate.

Required Experience

Typically, a Mid-level/Intermediate Insight Analyst role requires 2-5 years of experience in data analysis or a related field. Experience with data manipulation, statistical analysis, and data visualization tools is crucial. Familiarity with programming languages such as Python, R, or SQL is often required. Experience in specific industries can also be beneficial, as it provides context for the types of data and insights that are most valuable in those sectors.

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