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Braintrust is a user-owned talent platform created by and for the world’s top talent. This includes a talented network of experienced Power BI Developers available for hire.

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Marcin Wylot, PhD

Marcin Wylot, PhD

Data Scientist
Warsaw, NC, USA
  • AI
  • Data Science

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Sarah King

Sarah King

Data Scientist
Sanford, FL, USA
  • Data Science
  • SQL

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Joe Heyob

Joe Heyob

Sr. Data Engineer
Cincinnati, OH, USA
  • Python
  • SQL

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How to hire Top Power BI Developers


Hiring a Power BI developer involves a careful evaluation of a candidate's technical proficiency, problem-solving abilities, and communication skills. At the core, the developer should have a strong understanding of Power BI, including creating data models, reports, and dashboards, and proficiency in DAX and M languages. They also need a firm grasp of data warehousing concepts and SQL, as these underpin the data structures they'll be working with. Exposure to other BI tools can be an added advantage, providing a broader understanding of data visualization trends. The candidate's data visualization abilities and problem-solving skills play a pivotal role in transforming complex data into meaningful insights. Furthermore, excellent communication skills are essential for interfacing with various stakeholders and translating data insights into understandable terms. Years of experience in software development and data analytics can significantly enhance a candidate's ability to deliver robust solutions and insights using Power BI.

The size of the company and the nature of the employment can further shape the requirements for a Power BI developer. In a startup environment, developers often need to wear multiple hats, so a broad set of skills, adaptability, and the ability to work in a fast-paced, dynamic environment are crucial. Startups might also require a developer who is more hands-on with data, as they might not have a dedicated data team.

In contrast, larger companies typically have more defined roles and might seek a Power BI developer with more specialized skills. Developers in larger organizations might work closely with dedicated data teams and focus on creating visualizations, reports, and dashboards, rather than extracting and cleaning data.

The choice between full-time and hourly contracts largely depends on the company's needs. Full-time employees are often more embedded in the company culture and processes, making them a good choice for ongoing, long-term projects. They can offer continuity and take on more responsibilities within the organization.

On the other hand, hourly or contract-based developers might be a better fit for companies with short-term projects or those needing to quickly ramp up capacity. These developers can bring a fresh perspective and unique skills to the project, but managing them might require more overhead, and they may not be as integrated with the rest of the team.

Hiring a Power BI developer is a multifaceted process, requiring a balance of technical expertise, problem-solving skills, and effective communication. The organization's size, project scope, and employment terms further influence the specifics of the role and the ideal candidate profile.

Technical Proficiency in Power BI

Proficiency in Power BI extends beyond merely knowing how to use the tool—it involves understanding how to leverage it to translate complex data into actionable insights. A competent Power BI developer should be proficient in building and optimizing Microsoft Power BI data models, creating measures using DAX scripts, and developing interactive dashboards. They should have a good grasp of the full range of Power BI's capabilities, such as quick measures, bookmarks, drillthroughs, and Q&A features. The ability to connect and integrate Power BI with different data sources, including APIs, databases, and Excel, is also vital. Familiarity with Power BI service features, such as data gateways, app workspaces, dataflows, and scheduled refreshes, also indicates technical proficiency. An added plus is experience in Power BI consulting, where they might have dealt with a wide range of industries and datasets.

Experience with DAX and M

DAX (Data Analysis Expressions) and M (Power Query) are programming languages used in Power BI for data modeling and data manipulation. A good Power BI developer should be comfortable writing DAX formulas, understanding context transition, and building complex calculated columns and measures. DAX knowledge helps in creating complex analytics and providing valuable business insights. M language is used in the Power Query tool within Power BI to perform data transformations. Experience with M involves understanding its functional programming concepts and using it to clean, transform, and reshape data before loading it into the Power BI data model.

Understanding of Data Warehousing Concepts

Power BI is a tool for visualizing data, but the effectiveness of these visualizations depends on the quality and organization of the underlying data. Thus, a solid understanding of data warehousing principles is key. The candidate should be knowledgeable about Extract, Transform, Load (ETL) processes, and how they are used to move data from source systems to a data warehouse. They should understand data schemas, such as star and snowflake schemas, and when to use each. They also need to know about normalization and denormalization techniques, which help balance data integrity and performance in the database. Knowledge of dimension and fact tables, indexing, partitioning, and data storage is also important.

Familiarity with SQL

SQL is a fundamental skill for any data-oriented role, including a Power BI developer. SQL is used to manage and manipulate data stored in relational databases. An adept Power BI developer should be able to write complex SQL queries to extract the data needed for their Power BI dashboards. They should understand concepts such as joins, unions, subqueries, and window functions. Additionally, knowledge of stored procedures, triggers, and views is beneficial as these can be used to automate and simplify complex operations. Experience with specific SQL platforms, like Microsoft SQL Server, MySQL, or PostgreSQL, may also be a requirement depending on the data infrastructure of the organization.

Knowledge of Other BI Tools

While expertise in Power BI is the primary requirement, experience with other BI tools can broaden a developer's perspective and enhance their problem-solving abilities. For instance, familiarity with Tableau can demonstrate a candidate's understanding of other visual analytics tools, their capabilities, and their applications. Knowledge of QlikView or Qlik Sense would signify the candidate's proficiency in associative data modeling and a user-driven approach to BI. Experience with tools like Looker or SAS BI indicates the candidate's exposure to different BI philosophies and paradigms. Understanding how different tools handle data modeling, visualizations, and user interaction can provide valuable context when making design decisions in Power BI.

Data Visualization Skills

Power BI developers should be capable of converting complex data into easily interpretable visualizations. They need to have a strong understanding of how to use charts, graphs, and other visual tools in ways that intuitively communicate data patterns. Proficiency in selecting the right visualization based on the data and what story needs to be told is essential. A deep understanding of color theory, layout and design principles, and the ability to create visual hierarchy are also important. The developer should know how to leverage Power BI's custom visuals or even create their own visuals using tools like Power BI's Custom Visual SDK.

Problem-Solving Skills

When dealing with vast amounts of data and complex business requirements, problems are inevitable. A good Power BI developer needs strong analytical skills to decipher complex data and a knack for troubleshooting to fix issues like data discrepancies or performance problems. These skills extend beyond the technical, requiring a developer to be resourceful, adaptable, and creative. An understanding of the business domain is essential for interpreting data correctly, identifying patterns, and providing relevant solutions. The ability to use Power BI's debugging and performance tools, such as Performance Analyzer and Query Diagnostics, would be beneficial.

Communication Skills

Excellent communication skills are a must-have for a Power BI developer. They are often required to interact with stakeholders, business analysts, data scientists, and other team members. They must be able to gather and interpret requirements effectively, as well as explain complex data insights in a clear and understandable manner. The ability to present data visually is part of this, but so is the ability to write clear reports and provide verbal explanations. Additionally, Power BI developers often need to provide training or support to end-users, requiring patience and the ability to explain technical concepts in non-technical terms.

Frequently Asked Questions

How much does it cost to hire Power BI developers?

The cost of hiring a Power BI developer can vary widely depending on their years of experience, geographic location, the complexity of your project, and whether they are full-time, part-time, or contract-based. In the United States, the average pricing for a full-time Power BI developer ranges from $70,000 to $110,000 per year. For contractors or freelance developers, the rates can range from $30 to $100 per hour or more. Please note that these figures might have changed, so it's best to do some market research to get up-to-date figures.

Where can I hire a Power BI developer?

Power BI experts can be hired through various channels. Traditional methods include job boards like LinkedIn, Indeed, or Glassdoor. There are also tech-specific job sites like StackOverflow Jobs or GitHub Jobs. Freelance platforms such as Braintrust have many Power BI developers for hire. Furthermore, you could hire through a specialized IT staffing agency which often has pre-vetted candidates. Finally, networking events, professional groups on social media, and local Power BI or Microsoft user groups can also be excellent resources for finding skilled professionals. Additionally, some companies offer consulting services that can provide a development team on demand.

How do I recruit a Power BI developer?

When recruiting a Power BI developer, first define the skills and experience needed for your specific project or role. Then, create a job description that clearly outlines these requirements, the job responsibilities, and the benefits your company offers. Post this job on job boards, tech forums, social media, and other platforms mentioned above. You could also consider working with recruitment agencies specializing in tech roles. Once applications come in, use a combination of interviews and practical assessments to evaluate the candidates' technical knowledge, problem-solving skills, and cultural fit. In the interview, ask about their previous projects and how they used Power BI to solve business needs. Your project management and decision making skills will be crucial in this phase.

How much does a Power BI developer charge per hour?

The hourly rate for a Power BI developer can vary significantly based on their experience, skills, the complexity of the work, and their location. In the US, you might expect to pay anywhere from $30 to $100 per hour or more. Developers with more experience or specialized skills may charge at the higher end of that range. Rates can also be higher in regions with a high cost of living. Please note that these figures are approximate and may have changed; consider conducting current market research to determine accurate rates.

What are the skills required for a Power BI developer?

A Power BI developer should possess a strong blend of technical and interpersonal skills. Technically, they should have proficiency in Power BI and associated tools, with the ability to create and manage data models, reports, and dashboards. They should also have experience with DAX and M (Power Query) languages for advanced data manipulation, along with a solid understanding of data warehousing concepts and SQL for managing data. Additional exposure to other BI tools is beneficial. They need to have good data visualization skills to transform data into easily understandable formats. Interpersonally, strong problem-solving and communication skills are necessary, allowing the developer to handle complex requirements, troubleshoot issues, and effectively communicate data insights to various stakeholders.

Who can become a Power BI developer?

A Power BI developer typically comes from a background in data analysis, business intelligence, or a related field, but it's a role that's open to anyone with the requisite skills and a passion for transforming data into insights. They would need a strong understanding of data structures, data modeling, SQL, and even Python for managing data. Knowledge in DAX and M languages is essential for working with Power BI. Some developers also have knowledge in related fields such as statistics, data science, and business analysis. It's a role that requires constant learning and adaptability due to the rapidly evolving nature of data tools and technologies.

Is coding required for Power BI?

While Power BI offers a user-friendly interface and allows for many operations to be done without coding, a deeper proficiency does require some coding knowledge. For complex data manipulation and to create custom calculations and measures, understanding DAX (Data Analysis Expressions) is necessary. Also, the M language is used in Power Query for sophisticated data transformation and cleansing. Moreover, knowledge of SQL can be beneficial for querying and managing data before it is imported into Power BI. Therefore, while coding isn't required for basic usage, it becomes increasingly important for more advanced tasks and to fully leverage Power BI's capabilities.

What programming language is Power BI?

Power BI itself is not a programming language, but a Business Intelligence (BI) tool developed by Microsoft. However, it uses two main languages: DAX and M. DAX, or Data Analysis Expressions, is a formula language used mainly for creating custom calculations in Power BI, Analysis Services, and Power Pivot in Excel. M, also known as Power Query language, is used for data extraction, transformation, and loading (ETL) tasks. These are the primary languages a Power BI developer uses to manipulate and analyze data within the tool. It's also worth noting that knowledge of SQL can be very helpful when working with Power BI, even though it's not a language native to Power BI.

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