Business Intelligence Developer Seattle – Business intelligence (BI) developers program business intelligence tools and help professionals interpret business data. Here’s what to know about the skills required for a business intelligence developer, salary, and how to become one.
Business intelligence developers are software engineers who combine data analytics with technical expertise to create business intelligence solutions. These solutions can include technical query, business analysis, and data visualization tools intended to streamline analyst operations.
Business Intelligence Developer Seattle
Business intelligence developers can be part of a business intelligence, business development, data science, or engineering team within a company. May report to a Senior Business Intelligence Developer.
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Business intelligence developers ensure that business data and related analysis tools are easily accessible and interpreted by colleagues. Their work saves time and supports the goals of business analysts and business intelligence analysts.
Business Intelligence Developers may have a bachelor’s degree in computer science, engineering, information technology, or a related field. They will often be expected to have applicable experience in data analytics platform development and BI application. Knowledge of business intelligence practices, programming languages (Python, R, and SQL), data warehousing, ETL operations, and relational database management systems is recommended.
Professionals may begin their careers as business intelligence analysts, software developers, or related roles before becoming a business intelligence (BI) developer. From here, professionals can move into a Senior Business Intelligence Developer or Senior Software Engineer role, or even specialized roles such as Microsoft Power BI developer.
Business intelligence developers will see a job growth rate of 21 percent in the coming years, according to Zippia.
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The full compensation package for a Business Intelligence Developer depends on a variety of factors, including but not limited to the candidate’s experience and geographic location. See below for detailed information on the average business intelligence developer salary.
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The General Assembly Immersive Data Science course is a transformational course designed for you to gain the skills needed for a data scientist role within three months.
The data science bootcamp is led by practicing coaches who are experts in their field, supported by career coaches who have been with you from day one and enhanced by a career services team who are constantly in conversations with employers about their technology staffing needs.
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As a graduate, you’ll be ready to succeed in a variety of advanced data science and analytics roles, creating predictive models that drive decision-making and strategy across organizations of all types. During this expert-designed programme, you will:
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The average business intelligence developer salary in the United States is $92,540. Business intelligence developer salaries typically range from $70,000 to $121,000 annually. The average hourly rate for business intelligence developers is $44.49 an hour. Business Intelligence Developer salary is affected by location, education, and experience. Business intelligence developers earn the highest average salary in Washington, California, Oregon, New York, and Nevada.
The average salary for a business intelligence developer in Washington, California, and Oregon is the highest in the United States. The lowest average salary for a business intelligence developer is Arkansas, North Dakota, and Wyoming.
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Business Intelligence Developer salaries at Meta and Apple are the highest paid according to our latest salary estimates. In addition, the average accountant salary at companies like Google and Ropes & Gray is highly competitive.
The average BI developer salary varies across industries: the average BI developer salary in the healthcare industry is $92, $515, which is the highest of any industry. The average BI developer salary in the financial industry is $137, $92. Business intelligence developers in the real estate industry earn an average salary of $88,531, the lowest of any industry.
Washington pays BI developers the most in the US, with an average salary of $110, $901 per year, or $53.32 per hour.
You know if you are getting paid fairly as a business intelligence developer if your salary is close to the median wage for the state where you live. For example, if you live in California, you should be making approximately $109,094 per year. Is business intelligence? What is the difference between business intelligence and data analytics? We dive into this lucrative career path with Candace Pereira-Roberts, a GA coach with 20 years of data experience. Learn about a BI Analyst’s career path and average salaries, how to learn BI (spoiler alert: you don’t need a data degree), and what personality traits make a great BI Analyst.
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I have worked in data in some form for about 20 years including working as a business analyst, data warehouse developer/analyst, business intelligence analyst, data engineer, data analytics master educator, etc.
It originally started with a GA teaching SQL workshops at their Atlanta campus, has grown into other data related workshops/bootcamps and has become an online and Atlanta data analytics instructor. When I was offered a role teaching courses in my field in GA, I was excited to be able to share my knowledge with others who want to learn the industry.
Business intelligence (BI) combines data-centric strategies, procedures, and technology. Business intelligence includes common functions such as data mining, process analysis, data visualization and analytics, performance management, predictive/prescriptive analytics, reporting and dashboards. Business intelligence can have members such as visualization and data analysts, data engineers, business intelligence analysts, and data scientists.
Can you give us an example of a problem/question a business intelligence analyst might be asked to solve on the job?
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The work of a business intelligence analyst varies by company, but the most important questions usually revolve around KPIs. How is the company performing? What are sales signs? A BI analyst will take a top-down approach to answering these questions. Let’s say my company’s sales are down, for example. The BI analyst will be tasked with finding out if this decline is coming from a particular region, a particular product/service, a particular salesperson, etc.
In general, BI analysts make sure that data is ready to use from sources and work with other roles such as database administrators and data engineers. Data Analysts work more closely with clients (both internal and external) on their data needs and work with BI Analysts as well. Often these roles are mixed. Payscale.com provides a list of tasks for each role.
Anyone looking to enter Business Intelligence must have both technical and non-technical knowledge and skills. This list is not exhaustive, but it does highlight several things that would serve the analyst well.
You don’t have to come from a technical background, but you should be willing to learn the technical side of the job. Having a business background is really helpful because it can help understand business problems, understand the business itself, and generate insights for stakeholders. This helps in asking the right questions to understand the business needs. Technical knowledge is helpful in this area because you can provide insights into what can be delivered. As you delve deeper from the Data Analyst role into the BI Analyst role and the blending that occurs between the two, additional technical skills such as SQL will be required. I would recommend anyone in a data-driven role to have strong knowledge of Excel, SQL and a visualization tool such as Tableau.
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Glassdoor already has a nice path that includes salaries and transition jobs. How to Become a Business Intelligence Analyst: A Complete Career Path | glass door. A typical career path is to start as a Business Intelligence Analyst, then a Senior Business Intelligence Analyst, then a Principal Business Intelligence Analyst, and then a Business Intelligence Manager.
A data analytics bootcamp from the General Assembly can be a jump start towards a career in this field.
Before Boot Camps, How Did You Usually Become a Business Intelligence Analyst? Is Business Intelligence a skill set that can be learned in a boot camp? Why?
I personally don’t have a data science degree, but I’ve learned on the job my entire career and have actually taught myself SQL. I eventually got a master’s degree in computer information systems, but it’s not necessary to work in the business intelligence field! At the General Assembly’s Data Analytics Boot Camp, we not only teach the tools, but also how to formulate a hypothesis and work through an experimental process. Students build an Excel project, then an SQL project, and finally a Tableau project.
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You can learn different business intelligence tools and techniques in different programs such as the General Assembly or the offered mini-master
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