Business Intelligence Analyst

Partnerships
team

Montreal, QC

Full time

As their buses and trains range about the city, transit agencies often know where their vehicles are. But not much more. How crowded are the vehicles? Are they clean? Was the stop accessible to folks in wheelchairs? Are riders happy with their driver? Is there a more optimal route for the bus to follow?

Transit agencies crave these kinds of insights because they make it clear which lines and stops need the most help, and what needs to be done to make riders happier with their transit service. But those data cravings are hard to satisfyโ€ฆ historically, itโ€™s taken a platoon of pencils and clipboards to gather up. However, thanks to millions of Transit riders providing feedback while they ride, transit agencies could see all this data โ€” in real-time โ€” from the comfort of their swivel chairs. No clipboard required.

The operative word there is could. Weโ€™re sitting on the goldmine of goldmines of transit ridership data. Planning departments would weep to have it. Customer Experience departments would blush. Executives would lay down their powerpoint swords. From anonymized trip plan data, to real-time rider surveys, to everything in between, our humble SQL columns contain the prophecies for building better transit service.

But first, weโ€™ll need your Python-sharpened pickaxe to streamline the extraction of that data, process it, and make it make sense to urbanist researchers, mobility biz folks, and transit agency staff who rely on it for daily operations. All while protecting our usersโ€™ privacy with fire-breathing dragons and Gordian knots.

๐Ÿ“ Responsibilities

  • Craft compelling dashboards, maps, and custom reports to help transit agency staff grow their ridership and boost rider satisfaction

  • Provide deep-dive analyses to our partners, and equip them with fins and snorkels to extract the desired data from our dashboards themselves

  • Conduct hypothesis testing, predictive modeling, and monitor product performance to help our designers bring our products closer to their perfect(ish) final form

  • Be Transitโ€™s in-house guardian of ridership data and help internal parties make sense of it all

  • Data discrepancies? Never heard of them... okay maybe you have heard of them but you also know how to fix them to uphold your strict data quality standards!

  • Apply statistical and analytical techniques, and perform exploratory data analysis to uncover trends, patterns, and anomalies from complex datasets

โœ… Requirements

  • You are a dyed-in-the-wool (dyed-in-the-bus-upholstery?) transit nerd. From operations to customer experience, you believe that improving transit agencies is the best thing we can do to improve cities

  • You have a degree or hard-won experience in a quantitative field: stats, applied math, physics, engineering, econ, etc. Bonus points if you studied the blade of urbanism in grad school, have transportation experience, and/or worked on secret transit Intelligenceโ„ข projects you are forbidden from talking about

  • โ€ฆand if you donโ€™t check those boxes? But you still have related experience and demonstrably equivalent skills? Thatโ€™s totally okay! We still want you

  • You have strong problem-solving and analytical skills, with the ability to transition between data and business problems

  • When hunting down data you can find the sweet spot between speed and accuracy based on the business context, fine-tuning your approach for the audience and question at hand

  • You drop analysis-ready data sets and dashboards with the panache of a Beyoncรฉ album launch, as your screaming fans in the office thank you for automating their day-killing manual spreadsheet inquiries 

  • You are detail-oriented to a fault, double check your sources, and verify final outputs to uphold our teamโ€™s trust in the data. For example, your email to us will include the subject line โ€œTransit nerd incomingโ€ฆโ€ 

  • You can translate data speak to human speak, and vice versa, so our team can present findings and tailored recommendations to external parties

  • You can calculate the required sample size for statistical significance for a survey (perhaps you already have while reading this sentenceโ€ฆ) and you can tell us why itโ€™s not actually significant since itโ€™s a convenience sample

  • You can develop scripts and workflows to automate data collection and processing tasks (Donโ€™t worry, youโ€™ll have support in this!)

  • You find Python charming

๐Ÿ’ฏ Would be nice if

  • Youโ€™ve got some machine learning chops

  • You live in (or want to live in!) Montreal

Donโ€™t feel like all the requirements apply to you but you still think youโ€™d be a great fit for Transit? Donโ€™t hesitate to apply!

๐Ÿ’ฐ Compensation and benefits

[$80,000 - $100,000] CA per year, based on experience

  • Stock options

  • Comprehensive medical and dental coverage

  • 5 weeks vacation

  • Four-day work week at full-time salary (yes, you read that right)

  • Apple laptop and equipment

  • $1,600 annual mobility allowance. STM? BIXI? Uber? E-bike? Scooter? Going car-free is free at Transit.

  • A training and development budget

  • Generous maternal/paternal/parental leave policy. Gotta fill out our tandem bicycles somehow!

  • Flexible work hours

  • Spend your days surrounded by first-rate teammates and the best view of Montreal and/or [insert exotic Zoom background]

  • When youโ€™re in the office: youโ€™ll be in urbanist heaven, surrounded by Mile Endโ€™s urban gardens, bike paths, BIXI docks, bus stops, a metro station, and limitless restaurantsโ€ฆ cafรฉsโ€ฆ barsโ€ฆ concert hallsโ€ฆ bagel boutiquesโ€ฆ

  • Communal lunch-and-learn with free food in the office each week


๐Ÿ‘จโ€๐Ÿ’ป A note on diversity

Public transit is used by overwhelmingly more women and people of colour than other modes of transportation. We try to make sure the diversity of our users is reflected in the team that serves them. Because when we include people of all races, genders, sexual orientations, ages, and identities โ€” we end up building a better app for everyone who uses Transit.

We encourage candidates of all ages, genders, origins and orientations to apply. If youโ€™d like to specify which pronouns you use, feel free to include that in your application email.

And if your lived experience has given you a unique perspective on all things transportation, mobility, accessibility, urbanism? Let us know, and weโ€™ll make sure your application gets the attention it merits.


๐Ÿ“ฌ How to apply

Must be located in Canada, or willing to relocate.

Shoot us an email at [email protected] with:

  • Your resume

  • A quick summary of who you are and why youโ€™re interested in the role

  • Some analysis youโ€™ve done in the past (GitHub, Jupyter notebook, blog post, PDF, paper, whatever) that shows us how you think and what you can do

We look forward to meeting you!

PS: When you apply, let us know how you heard about the position! Whispers, grapevines, middle-of-the-night Google searches? Weโ€™re dying to know.

PPS: Unfortunately, we don't accept in-person applications or singing telegrams. Make your application sing instead!


๐Ÿ“ Responsibilities

  • Craft compelling dashboards, maps, and custom reports to help transit agency staff grow their ridership and boost rider satisfaction

  • Provide deep-dive analyses to our partners, and equip them with fins and snorkels to extract the desired data from our dashboards themselves

  • Conduct hypothesis testing, predictive modeling, and monitor product performance to help our designers bring our products closer to their perfect(ish) final form

  • Be Transitโ€™s in-house guardian of ridership data and help internal parties make sense of it all

  • Data discrepancies? Never heard of them... okay maybe you have heard of them but you also know how to fix them to uphold your strict data quality standards!

  • Apply statistical and analytical techniques, and perform exploratory data analysis to uncover trends, patterns, and anomalies from complex datasets

โœ… Requirements

  • You are a dyed-in-the-wool (dyed-in-the-bus-upholstery?) transit nerd. From operations to customer experience, you believe that improving transit agencies is the best thing we can do to improve cities

  • You have a degree or hard-won experience in a quantitative field: stats, applied math, physics, engineering, econ, etc. Bonus points if you studied the blade of urbanism in grad school, have transportation experience, and/or worked on secret transit Intelligenceโ„ข projects you are forbidden from talking about

  • โ€ฆand if you donโ€™t check those boxes? But you still have related experience and demonstrably equivalent skills? Thatโ€™s totally okay! We still want you

  • You have strong problem-solving and analytical skills, with the ability to transition between data and business problems

  • When hunting down data you can find the sweet spot between speed and accuracy based on the business context, fine-tuning your approach for the audience and question at hand

  • You drop analysis-ready data sets and dashboards with the panache of a Beyoncรฉ album launch, as your screaming fans in the office thank you for automating their day-killing manual spreadsheet inquiries 

  • You are detail-oriented to a fault, double check your sources, and verify final outputs to uphold our teamโ€™s trust in the data. For example, your email to us will include the subject line โ€œTransit nerd incomingโ€ฆโ€ 

  • You can translate data speak to human speak, and vice versa, so our team can present findings and tailored recommendations to external parties

  • You can calculate the required sample size for statistical significance for a survey (perhaps you already have while reading this sentenceโ€ฆ) and you can tell us why itโ€™s not actually significant since itโ€™s a convenience sample

  • You can develop scripts and workflows to automate data collection and processing tasks (Donโ€™t worry, youโ€™ll have support in this!)

  • You find Python charming

๐Ÿ’ฏ Would be nice if

  • Youโ€™ve got some machine learning chops

  • You live in (or want to live in!) Montreal

Donโ€™t feel like all the requirements apply to you but you still think youโ€™d be a great fit for Transit? Donโ€™t hesitate to apply!

๐Ÿ’ฐ Compensation and benefits

[$80,000 - $100,000] CA per year, based on experience

  • Stock options

  • Comprehensive medical and dental coverage

  • 5 weeks vacation

  • Four-day work week at full-time salary (yes, you read that right)

  • Apple laptop and equipment

  • $1,600 annual mobility allowance. STM? BIXI? Uber? E-bike? Scooter? Going car-free is free at Transit.

  • A training and development budget

  • Generous maternal/paternal/parental leave policy. Gotta fill out our tandem bicycles somehow!

  • Flexible work hours

  • Spend your days surrounded by first-rate teammates and the best view of Montreal and/or [insert exotic Zoom background]

  • When youโ€™re in the office: youโ€™ll be in urbanist heaven, surrounded by Mile Endโ€™s urban gardens, bike paths, BIXI docks, bus stops, a metro station, and limitless restaurantsโ€ฆ cafรฉsโ€ฆ barsโ€ฆ concert hallsโ€ฆ bagel boutiquesโ€ฆ

  • Communal lunch-and-learn with free food in the office each week


๐Ÿ‘จโ€๐Ÿ’ป A note on diversity

Public transit is used by overwhelmingly more women and people of colour than other modes of transportation. We try to make sure the diversity of our users is reflected in the team that serves them. Because when we include people of all races, genders, sexual orientations, ages, and identities โ€” we end up building a better app for everyone who uses Transit.

We encourage candidates of all ages, genders, origins and orientations to apply. If youโ€™d like to specify which pronouns you use, feel free to include that in your application email.

And if your lived experience has given you a unique perspective on all things transportation, mobility, accessibility, urbanism? Let us know, and weโ€™ll make sure your application gets the attention it merits.


๐Ÿ“ฌ How to apply

Must be located in Canada, or willing to relocate.

Shoot us an email at [email protected] with:

  • Your resume

  • A quick summary of who you are and why youโ€™re interested in the role

  • Some analysis youโ€™ve done in the past (GitHub, Jupyter notebook, blog post, PDF, paper, whatever) that shows us how you think and what you can do

We look forward to meeting you!

PS: When you apply, let us know how you heard about the position! Whispers, grapevines, middle-of-the-night Google searches? Weโ€™re dying to know.

PPS: Unfortunately, we don't accept in-person applications or singing telegrams. Make your application sing instead!


๐Ÿ“ Responsibilities

  • Craft compelling dashboards, maps, and custom reports to help transit agency staff grow their ridership and boost rider satisfaction

  • Provide deep-dive analyses to our partners, and equip them with fins and snorkels to extract the desired data from our dashboards themselves

  • Conduct hypothesis testing, predictive modeling, and monitor product performance to help our designers bring our products closer to their perfect(ish) final form

  • Be Transitโ€™s in-house guardian of ridership data and help internal parties make sense of it all

  • Data discrepancies? Never heard of them... okay maybe you have heard of them but you also know how to fix them to uphold your strict data quality standards!

  • Apply statistical and analytical techniques, and perform exploratory data analysis to uncover trends, patterns, and anomalies from complex datasets

โœ… Requirements

  • You are a dyed-in-the-wool (dyed-in-the-bus-upholstery?) transit nerd. From operations to customer experience, you believe that improving transit agencies is the best thing we can do to improve cities

  • You have a degree or hard-won experience in a quantitative field: stats, applied math, physics, engineering, econ, etc. Bonus points if you studied the blade of urbanism in grad school, have transportation experience, and/or worked on secret transit Intelligenceโ„ข projects you are forbidden from talking about

  • โ€ฆand if you donโ€™t check those boxes? But you still have related experience and demonstrably equivalent skills? Thatโ€™s totally okay! We still want you

  • You have strong problem-solving and analytical skills, with the ability to transition between data and business problems

  • When hunting down data you can find the sweet spot between speed and accuracy based on the business context, fine-tuning your approach for the audience and question at hand

  • You drop analysis-ready data sets and dashboards with the panache of a Beyoncรฉ album launch, as your screaming fans in the office thank you for automating their day-killing manual spreadsheet inquiries 

  • You are detail-oriented to a fault, double check your sources, and verify final outputs to uphold our teamโ€™s trust in the data. For example, your email to us will include the subject line โ€œTransit nerd incomingโ€ฆโ€ 

  • You can translate data speak to human speak, and vice versa, so our team can present findings and tailored recommendations to external parties

  • You can calculate the required sample size for statistical significance for a survey (perhaps you already have while reading this sentenceโ€ฆ) and you can tell us why itโ€™s not actually significant since itโ€™s a convenience sample

  • You can develop scripts and workflows to automate data collection and processing tasks (Donโ€™t worry, youโ€™ll have support in this!)

  • You find Python charming

๐Ÿ’ฏ Would be nice if

  • Youโ€™ve got some machine learning chops

  • You live in (or want to live in!) Montreal

Donโ€™t feel like all the requirements apply to you but you still think youโ€™d be a great fit for Transit? Donโ€™t hesitate to apply!

๐Ÿ’ฐ Compensation and benefits

[$80,000 - $100,000] CA per year, based on experience

  • Stock options

  • Comprehensive medical and dental coverage

  • 5 weeks vacation

  • Four-day work week at full-time salary (yes, you read that right)

  • Apple laptop and equipment

  • $1,600 annual mobility allowance. STM? BIXI? Uber? E-bike? Scooter? Going car-free is free at Transit.

  • A training and development budget

  • Generous maternal/paternal/parental leave policy. Gotta fill out our tandem bicycles somehow!

  • Flexible work hours

  • Spend your days surrounded by first-rate teammates and the best view of Montreal and/or [insert exotic Zoom background]

  • When youโ€™re in the office: youโ€™ll be in urbanist heaven, surrounded by Mile Endโ€™s urban gardens, bike paths, BIXI docks, bus stops, a metro station, and limitless restaurantsโ€ฆ cafรฉsโ€ฆ barsโ€ฆ concert hallsโ€ฆ bagel boutiquesโ€ฆ

  • Communal lunch-and-learn with free food in the office each week


๐Ÿ‘จโ€๐Ÿ’ป A note on diversity

Public transit is used by overwhelmingly more women and people of colour than other modes of transportation. We try to make sure the diversity of our users is reflected in the team that serves them. Because when we include people of all races, genders, sexual orientations, ages, and identities โ€” we end up building a better app for everyone who uses Transit.

We encourage candidates of all ages, genders, origins and orientations to apply. If youโ€™d like to specify which pronouns you use, feel free to include that in your application email.

And if your lived experience has given you a unique perspective on all things transportation, mobility, accessibility, urbanism? Let us know, and weโ€™ll make sure your application gets the attention it merits.


๐Ÿ“ฌ How to apply

Must be located in Canada, or willing to relocate.

Shoot us an email at [email protected] with:

  • Your resume

  • A quick summary of who you are and why youโ€™re interested in the role

  • Some analysis youโ€™ve done in the past (GitHub, Jupyter notebook, blog post, PDF, paper, whatever) that shows us how you think and what you can do

We look forward to meeting you!

PS: When you apply, let us know how you heard about the position! Whispers, grapevines, middle-of-the-night Google searches? Weโ€™re dying to know.

PPS: Unfortunately, we don't accept in-person applications or singing telegrams. Make your application sing instead!