Business Intelligence Developer Income Seattle

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Business Intelligence Developer Income Seattle – Compensation for tech workers has kept up with (but not exceeded) last year’s inflation with an average salary increase of nearly 7% according to the latest Dice Tech Salary Report. Database administrators, support engineers and data analysts led the way for data-related gains, while demand (and salaries) decreased slightly for people with data science, machine learning and AI skills.

At $104,566, the average tech salary reached six figures for the first time ever, according to the latest Dice Tech Salary Report. Silicon Valley remained the tech hotbed with an average salary of $133,204, followed by Seattle, Washington and New York City.

Business Intelligence Developer Income Seattle

C-level technology leaders and IT management had the highest average salary in 2021, at nearly $152,000. But database administrator was turning in one of the biggest one-year gains, with a 12.4% increase to to about $111, 000. Also, technical support engineers logged a 12.4% increase to a hair over $77, 000, while data analyst salaries went up 11.5% to nearly $85, 000. A 4.0% increase to $101,500 for those classified as business/information analysts. .

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Developers were in high demand last year, especially Web developers, who saw a 21.3% increase in salary to nearly $99,000. The humble software developer saw a solid 8.0% pay rise to around $120,000, and the average UX/UI . the designer saw a 10% rise to $101,000, reports Dice.

Some data-related jobs did not fare so well. The average salary for data engineers decreased by 1.1% to about $117,000, while data scientists increased by a slight 0.6% to just under $121,000. Data architects saw their salary decrease by 3.2% to slightly less than $129,000.

Dice noted: “These professions tend to earn high salaries, which suggests their value to organizations large and small – so what’s behind the conspicuous lack of year-on-year salary figures?” the company wrote in its report. “One possibility is that salaries in 2021 are indicators of weakening for these roles, and that these high-growth, high-value occupations will increase in early 2022 and throughout the year. It may also involve the proliferation of tools designed to perform the highly specialized functions of some of these roles.”

A number of other interesting trends emerged with salaries being determined by specific skills, rather than occupation. Demand for Solr has skyrocketed, with an average salary of more than $143,000, up nearly 16% from 2020, Dice says. Elasticsearch (6.0% gain to about $137, 000), Amazon RDS (10.9% to almost $134, 000) and Hana (6.7% gain to just over $133, 000) were also in strong demand.

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Surprisingly, there was a salary regression in some high-growth areas. The average salary among those with machine learning skills dropped 2.1% to nearly $123,000, while natural language processing saw a 7.8% drop to about $121,000 and overall “artificial intelligence” fell 8.9% to to about $120,000. Over a two-year period, machine learning salaries are up 1.0%, NLP salaries are down 3.4%, and AI salaries are down 2.3%.

Some related AI technologies were little changed in average salary, per diem, including neural networks, which rose 1.5% to about $131,000 and TensorFlow, which rose a slight 0.1% to $139,000. Hadoop (anyone remember Hadoop?) held its own, with a 0.4% increase in average pay to $130,000. However, Cloudera as a skill saw a 5.7% drop in salary to around $124,500 , and MapReduce decreased 2.6% to $132,000. Spark saw a 3.1% increase to around $128,000.

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Non-essential cookies are any cookies that are not particularly necessary for the website to function and are specifically used to collect user personal data through analytics, ads and other embedded content. It is mandatory to obtain user consent before running these cookies on your website. Business information developer average salary $92,540 To create our salary estimates, it starts with data published in publicly available sources such as the Bureau of Labor Statistics of SA (BLS), Foreign Labor Certification (FLC) Data Center Show More

The average salary of a business intelligence developer in the United States is $92, 540. Business intelligence developer salaries typically range from $70,000 to $121,000 per year. The average hourly rate for business intelligence developers is $44.49 per hour. Location, education and experience affect the salary of a business intelligence developer. Business intelligence developers earn the highest average salary in Washington, California, Oregon, New York and Nevada.

The average salary of a business intelligence developer in Washington, California, and Oregon is among the highest in the United States.

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Business intelligence developer salaries at Meta and Apple are the highest paying according to our latest salary estimates. In addition, the average accountant salary at companies such as Google and Ropes & Gray is extremely competitive.

The average business intelligence developer salary varies across industries: The average business intelligence developer salary in the healthcare industry is $92,515, the highest of any industry. The average salary of a business intelligence developer in the financial industry is $92, 137. Business intelligence developers in the real estate industry earn an average salary of $88, 531, the lowest of any industry.

Washington pays the most Business Intelligence Developers in the United States, with an average salary of $110,901 per year, or $53.32 per hour.

You know if you are paying fairly as a Business Intelligence Developer if your salary is close to the average salary for the state you live in. For example, if you live in California you should be paid close to $109,094 per year. is Business Intelligence? What is the difference between Business Intelligence and Data Analytics? We’re diving into this lucrative career path with Candace Periera-Roberts, a General Assembly instructor with 20 years of data experience. Learn about the career path and average BI Analyst salary, how to learn business intelligence (spoiler alert: you don’t need a data degree), and what personality traits make a great business intelligence analyst.

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I have worked on data in some form for ~20 years including work as a business analyst, data warehouse developer / analyst, business intelligence analyst, data engineer, data analytics lead instructor, etc.

I first started with GA teaching SQL workshops at their Atlanta campus and it grew into other data related workshops / boot camps and being an instructor for Data Analytics Online and for Atlanta. When I was offered a role teaching courses in my field for GA I was excited to be able to share my knowledge with others who wanted to learn this industry.

Business intelligence (BI) combines data-oriented strategies, procedures and technology. BI includes common functions such as data mining, process analysis, data visualization and analytics, performance management, predictive/prescriptive analytics, reporting and dashboards. BI may have members such as visualization and data analysts, data engineers, business intelligence analysts, and data scientists.

Could you give us an example of a problem/question that a BI 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 main issues are usually around KPIs. How is the company performing? What are the sales markers? A BI Analyst would take a top-down approach to answering those questions. Let’s say my company’s sales have declined, for example. The BI Analyst would be tasked with finding out if that decline is coming from a particular region, from a particular product/service, from a particular sales representative, etc.

Generally, BI Analysts work to ensure data is ready to use from the sources and work with other roles such as Database Administrators and Data Engineers. Data Analysts work more closely with customers (internal and external) to fulfill their data needs and also work with BI Analysts. Many times these roles are merged. offers a list of tasks per role.

Anyone looking to get into BI should have technical and non-technical knowledge and skills. This list is not exhaustive, but highlights a few that will serve analysts well.

You don’t need to come from a technical background, just be willing to learn the technical side of the job. A business background is extremely helpful

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