Business Intelligence Engineer Amazon Salary Canada – There are many good reasons why salaries should be transparent. This helps candidates avoid wasting their time on opportunities that pay less than they want. It sheds light on the pay gap between genders and other groups. And it helps employees understand if they are underpaid in their current positions.
Salary transparency is a hot topic. The UK government believes we need to talk more about pay and last week launched a pilot project to tackle the issue.
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“Participating employers will run pilots aimed at closing the pay gap by publishing salaries in all job adverts” – UK Equal Pay Pilot
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But it doesn’t always need a government. Several initiatives have begun to emerge where employees are finding ways to value pay within their organizations.
One recent example is HelloFresh’s Open Salary Initiative 2022, where you can submit your salary and in turn see how you compare to your peers. It’s a great give-and-take incentive that allows employees to remain anonymous.
All this led me to try to shed some light on data compensation with data. I used to work at Google and know a lot of people at FAANG companies (Facebook, Apple, Amazon, Netflix, Google). That’s where I took my starting point from, looking at over 4,000 data points from sources like levels.fyi and otta.com to put some numbers to pay for.
The median total compensation in 2022 in the US is $187,000. This varies greatly by company and length of service. For example, the average Netflix data compensation is $450,0001.
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Jobs in the US pay well. Especially if you’re one of the lucky 440 who work for Netflix. If you’ve read Reid Hastings’ No Rules, No Rules, you’ll understand that this is no accident. Netflix has a policy where they encourage their employees to interview at different places and return the offers they receive. If Netflix sees that their price is higher, they will increase your salary and do the same for everyone else in the company in similar positions.
“It costs a lot more to lose people and recruit replacements than to overpay a little to begin with” – Reid Hastings, Rules Without Rules
Other top tech companies also have a lot of people in data roles making more than $450,000 a year, but not as consistently as Netflix.
Unsurprisingly, tech and data salaries in the US are high. But how do they compare to Europe and the rest of the world?
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The average salary in the US at the companies I looked at is $187,000, compared to $108,000 in Europe and $87,000 in the rest of the world. There is no small gap.
While I wasn’t able to collect as many salary data points outside of the US, the pattern is still clear; you get paid much more in the US. That being said, a cursory look at the jobs data on otta.com shows that there are many jobs in the UK that pay more than the average.
When the money is cold, it’s cold at the top. The largest technology companies have different variations of the level (L) system, which indicates the length of service. Most employees are in the L2-3 (Junior or Intermediate) to L6 (Expert or Manager) range. At Google, the level goes up to L10, but the lucky few here are unlikely to share their salaries (a quick look at levels.fyi shows that several L8 salaries are reported to be over $1,000,000, so I dare you to dream about where it ends up at L10) .
Source: Image by the author. Data from levels.fyi. Data is indicative only and levels are not comparable between companies
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If you go from L3 to L6, you more than double your salary. Some of the lucky ones with the highest paid data earn over $700,000 (and some possibly much more).
Now you’re thinking to yourself that over $400,000 a year sounds pretty good. Where do you go from here?
You can join Netflix as a Senior Data Engineer and work on experimentation tools. You will need some knowledge of experimental methods and statistics, and be able to work in cross-functional teams.
Or you can join Google as a Technical Lead Data Scientist and work with large data sets, solve complex analysis tasks and apply advanced analytical techniques.
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Or, if you only have a few years of experience, you can join Google as an Advertising and Marketing Business Data Specialist and work your way up (in my experience at Google, you can expect to be promoted every two years at the lower levels, but it gets harder the older you get).
But that’s not the point of this article. The goal is to open a debate about whether we should talk more about salaries. Salary remains a touchy subject, but it makes for a good discussion. Amazon Salary Business Intelligence Engineer working from home in United States can expect to make an annual salary of $80,545 as of June 22, 2022.
You can use this calculator to figure out how much you’ll be paid per hour: it works out to about $38.72. That equates to $1,549 per week or $6,712 per month.
For a work-at-home Business Intelligence Engineer Amazon Salary, the median annual salary ranges from $45,000 (25th percentile) to $109,000 (75th percentile), with the highest earners in the United States earning $134,000 (90 -th percentile).
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Work at home Amazon Business Intelligence Engineer Salary can expect to range up to $64,000 depending on their skill level, location, and years of experience, indicating that there are plenty of opportunities for advancement and pay.
Job seekers in and around the United States can find many Amazon Business Intelligence Engineer Work From Home opportunities on job boards and websites. Amazon Business Intelligence Engineer salaries vary because those who work at home earn $74,949 per year, which is $7,596 (7%) less than the national average of $80,545. The salary of an Amazon Business Intelligence Engineer in California is the highest in the country.
Continuously scans its database of millions of active job postings across the United States to calculate the most accurate annual salary range for Amazon Business Intelligence Engineer salary at home.
According to , there are ten cities where the average Amazon Business Intelligence Engineer salary that works from home is higher than the national average. New York tops the list, followed by San Mateo, California and Delhi, California. Delhi City, California is $9,440 (11.7 percent) above the national average, and New York, New York is $13,931 (17.3 percent) above the national average.
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Working at home as an Amazon Business Intelligence Engineer Salary in one of these ten cities where the average salary is higher than the national average can be a great way to advance your career.
Finally, the average Amazon Business Intelligence Engineer salary for these top ten cities varies by only 6% between New York and Queens, confirming that there is little room for improvement. Consider the lower cost of living when deciding where to work and how much money you want to make as an Amazon Business Intelligence engineer who works from home.
The job of an Amazon Salary Business Intelligence Engineer is to research and analyze company data to support statistical business analysis.
To better understand how a company’s operations and financial performance are affected by the data it collects, the term business intelligence, or BI, was coined. In this line of work, you work with clients to gather their needs and create reports and dashboards.
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It presents the data in a way that is easy to understand. The duties of this position require computer skills and a working knowledge of databases. Education and experience requirements include a degree in computer science or related technology from an accredited university. Additionally, experience with a business intelligence platform is required.
In short, the job of an Amazon Salary Business Intelligence Engineer is to conduct research and analyze data to help with statistical analysis. The concept of “Business Intelligence” (BI) is highlighted to find out how a company’s data affects profits and operations.
As a result, the bonus is essentially a form of extra compensation for your first two years with Amazon, as it counts towards your monthly payments. An illustration would be this: During your first year of employment, if you were eligible for a $60,000 signing bonus, you would receive an additional $5,000 per pay period.
There are many rewarding and stimulating career paths available in the Amazon Business Intelligence Engineer Salary field. Senior management highly values the experience of consultants and considers it important for all levels of decision-making in the company.
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