Canalyst - 9 Reviews
9 total review submissions
Year | Position | Location | Group/Division | Overall | ||
---|---|---|---|---|---|---|
2023 | 1st Year Analyst | Vancouver | Equity Capital Markets | good work hours and training, learn about detailed … | Repetitive work and limited career development, slow… | |
2020 | Intern | Vancouver | Generalist | - flexible work with lots of independece, positive… | - Work can become monotomous after a while once you learn… | |
2021 | Intern | Vancouver | Consumer - Retail | Very flexible. I was able to work from home during the… | Training could be better. I was tasked to do model updates… | |
2022 | 1st Year Analyst | West Vancouver | Generalist | Flexible schedule Less hours than high finance jobs… | Hard to pivot experiences in this job to other jobs … | |
2022 | 3rd+ Year Analyst | Vancouver | Financial Institutions Group (FIG) | -Very flexible and accommodative mgmt -Best place to… | -After spending 2 years job becomes repetitive and boring… | |
2020 | Intern | Vancouver | Consumer - Retail | Great database Good exposure to industries … | Bit repetitive and lots of hardcoding from financials,… | |
2019 | Intern | Vancouver | Natural Resources | You get to put Equity Research Associate of your resume.… | You get put in a sector specific role but there is no real… | |
2019 | Intern | Vancouver | Generalist | Great entrepreneurial environment. Little structure and… | Learned a lot in the first 2 months but the following time… | |
2017 | Intern | Vancouver | Generalist | Great culture, lots of hiking and fusball. Very much like a… | As the company grew I did not get as much facetime with… |
Overview
Overall Ranking is a score from 1 star (very bad) to 5 stars (excellent) generated based on the Company Reviews of current and former employees at this company, taking everything into account.
The number you see in the middle of the donut pie chart is the simple average of these scores. If you hover over the various sections of the donut, you will see the % breakdown of each score given.
The percentile score in the title is calculated across the entire Company Database and uses an adjusted score based on Bayesian Estimates (to account for companies that have few reviews). Simply put, as a company gets more reviews, the confidence of a "true score" increases so it is pulled closer to its simple average and away from the average of the entire dataset.
The Overall Ranking is generated based on the Company Reviews.
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