Salary for Mid-level / Intermediate Power BI Developer during 2024

Salary details

The average mid-level / intermediate Power BI Developer salary lies between USD 70,000 and USD 104,000 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. 15, 2024

Top 20 Job Tags for Mid-level / Intermediate Power BI Developer roles

The three most common job tag items assiciated with mid-level / intermediate Power BI Developer job listings are Power BI, SQL and Security. 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:

Power BI | 162 jobs SQL | 138 jobs Security | 90 jobs ETL | 74 jobs Azure | 71 jobs Computer Science | 67 jobs Data Analytics | 66 jobs Business Intelligence | 60 jobs Agile | 58 jobs Data analysis | 50 jobs SSIS | 48 jobs DevOps | 47 jobs Data visualization | 45 jobs RDBMS | 43 jobs APIs | 41 jobs Tableau | 40 jobs Prototyping | 37 jobs Testing | 32 jobs Data quality | 32 jobs Excel | 27 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Power BI Developer roles

The three most common job benefits and perks assiciated with mid-level / intermediate Power BI Developer 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 | 112 jobs Flex hours | 64 jobs Health care | 64 jobs Insurance | 49 jobs Flex vacation | 45 jobs Flexible spending account | 33 jobs Salary bonus | 22 jobs Team events | 19 jobs Equity / stock options | 17 jobs Startup environment | 15 jobs Competitive pay | 14 jobs Parental leave | 12 jobs 401(k) matching | 10 jobs Fitness / gym | 10 jobs Wellness | 8 jobs Signing bonus | 8 jobs Home office stipend | 8 jobs Medical leave | 6 jobs Transparency | 3 jobs Flat hierarchy | 1 jobs

Salary Composition

The salary composition for a Mid-level/Intermediate Power BI Developer in AI/ML/Data Science can vary significantly based on factors such as region, industry, and company size. Typically, the salary is composed of a fixed base salary, which forms the bulk of the compensation package. In regions with a high cost of living or in industries like finance and tech, the base salary tends to be higher. Bonuses are often performance-based and can range from 5% to 20% of the base salary, depending on the company's profitability and individual performance metrics. Additional remuneration may include stock options, especially in tech startups, and benefits such as health insurance, retirement contributions, and professional development allowances.

Increasing Salary Potential

To increase your salary from this position, consider gaining expertise in high-demand areas within AI/ML, such as deep learning, natural language processing, or data engineering. Pursuing advanced certifications or a master's degree in data science or a related field can also enhance your qualifications. Networking within industry groups and attending conferences can open up opportunities for higher-paying roles. Additionally, taking on leadership roles or projects that demonstrate your ability to drive business value can position you for promotions or salary negotiations.

Educational Requirements

Most mid-level Power BI Developer roles in AI/ML/Data Science require at least a bachelor's degree in computer science, information technology, data science, or a related field. Some positions may prefer candidates with a master's degree, especially if the role involves complex data modeling or machine learning tasks. A strong foundation in mathematics and statistics is also beneficial, as these skills are crucial for data analysis and interpretation.

Helpful Certifications

Certifications can significantly enhance your profile and demonstrate your commitment to professional development. Some valuable certifications include:

• Microsoft Certified: Data Analyst Associate
• Microsoft Certified: Azure Data Scientist Associate
• Certified Analytics Professional (CAP)
• Tableau Desktop Specialist (if applicable to your role)
• AWS Certified Machine Learning – Specialty

These certifications validate your skills in data analysis, visualization, and machine learning, making you a more competitive candidate.

Required Experience

Typically, a mid-level Power BI Developer in AI/ML/Data Science is expected to have 3-5 years of experience in data analysis, business intelligence, or a related field. Experience with Power BI, SQL, and data modeling is essential. Familiarity with machine learning frameworks and programming languages like Python or R can also be advantageous. Experience in specific industries, such as finance, healthcare, or retail, can be beneficial if the role requires domain-specific knowledge.

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