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

Salary details

The average mid-level / intermediate Power BI Developer salary lies between USD 70,000 and USD 106,100 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: Nov. 17, 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 | 135 jobs SQL | 112 jobs Security | 75 jobs ETL | 60 jobs Business Intelligence | 56 jobs Azure | 54 jobs Computer Science | 53 jobs Data Analytics | 51 jobs Data analysis | 46 jobs Agile | 44 jobs Data visualization | 39 jobs Tableau | 37 jobs SSIS | 34 jobs DevOps | 34 jobs APIs | 30 jobs RDBMS | 30 jobs Data quality | 29 jobs Testing | 28 jobs Prototyping | 26 jobs Excel | 22 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, Health care and Flex hours. 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 | 94 jobs Health care | 49 jobs Flex hours | 47 jobs Insurance | 36 jobs Flex vacation | 32 jobs Flexible spending account | 22 jobs Salary bonus | 21 jobs Equity / stock options | 16 jobs Team events | 16 jobs Startup environment | 15 jobs Competitive pay | 13 jobs Parental leave | 11 jobs 401(k) matching | 10 jobs Fitness / gym | 9 jobs Signing bonus | 8 jobs Home office stipend | 8 jobs Wellness | 6 jobs Medical leave | 5 jobs Transparency | 3 jobs Flat hierarchy | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Power BI Developer in the AI/ML/Data Science field typically consists of a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually makes up the majority of the total compensation package. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards. In tech hubs like Silicon Valley or New York, bonuses might be more substantial compared to other regions. Additional remuneration can include stock options, especially in tech startups, or comprehensive benefits packages in larger corporations. The industry also plays a role; for instance, finance and tech industries might offer higher compensation compared to non-profit sectors. Company size can influence the package as well, with larger companies often providing more structured and potentially higher compensation packages.

Increasing Salary

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

• Skill Enhancement: Continuously upgrade your skills in AI/ML and data science. Learning new programming languages, mastering advanced analytics tools, or gaining expertise in machine learning algorithms can make you more valuable.
• Certifications: Obtain relevant certifications that can validate your skills and knowledge, making you more competitive in the job market.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms like LinkedIn. Networking can open up opportunities for higher-paying positions.
• Advanced Education: Pursuing a master's degree or specialized courses in data science or AI can provide a significant boost to your qualifications and salary potential.
• Leadership Roles: Aim for leadership or managerial roles within your organization, which typically come with higher pay.

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 more complex data analysis or machine learning tasks. A strong foundation in mathematics and statistics is also beneficial, as these are crucial for data analysis and interpretation.

Helpful Certifications

Several certifications can enhance your profile as a Power BI Developer in the AI/ML/Data Science field:

• Microsoft Certified: Data Analyst Associate: This certification validates your ability to help businesses maximize the value of their data assets using Power BI.
• Certified Analytics Professional (CAP): This is a vendor-neutral certification that demonstrates your ability to transform data into valuable insights.
• AWS Certified Machine Learning – Specialty: If your role involves working with machine learning on AWS, this certification can be particularly beneficial.
• Google Professional Data Engineer: This certification is useful if you work with Google Cloud Platform and want to demonstrate your ability to design, build, and manage data processing systems.

Experience Requirements

Typically, a mid-level Power BI Developer in this field is expected to have 3-5 years of experience. This experience should include hands-on work with Power BI, data visualization, and data analysis. Experience with other data tools and platforms, such as SQL, Python, or R, is often required. Familiarity with machine learning concepts and AI tools can also be advantageous, especially if the role involves integrating these technologies into data solutions.

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