Data Analyst - Finance Canada
Toronto, Ontario, Canada
Bird
Bird electric bikes and scooters are providing eco-friendly transportation for riders in hundreds of cities around the world. NYSE: BRDS.Company Overview:
Bird’s cleaner, affordable, and on-demand mobility solutions are available in cities globally. We take a collaborative, community-first approach to micromobility. Bird partners closely with the cities in which it operates to provide a reliable and affordable transportation option for people who live and work there.
Role Overview:
The Data Team at Bird is an integral component of every facet of the business from strategic initiatives to tactical effectiveness, and is a key resource in developing Bird's product and processes. As a Data Analyst you will support our internal team in our pursuit to make the cities we operate in more liveable, sustainable, and efficient. You will work alongside a cross-functional team of all levels to make data insights accessible and understandable throughout the company.
Key Responsibilities:
- Leverage your experience and skills to distill and distribute highly reliable and actionable data and insights throughout the company
- Communicate via compelling, easy-to-use dashboards or analysis the state of our business and products, operational performance, experiment results, and potential opportunities for growth
- Represent the data team in communications and internal workshops on best practices for retrieving and measuring our business activity
- Influence and inform cross-functional teams through write-ups, meeting and presentations of data-based recommendations
- Write ETLs to make product data consumable for our internal data and product customers
- Conduct hands-on modeling/analytics retrieving, compiling, and analyzing large volumes of data from disparate databases into distilled, actionable information and insights
- Champion the analytics process – from measurement strategies, data preparation, modeling, cleansing and evaluation
- Lead by example and help educate business stakeholders with varying technical or non-technical backgrounds
Required Qualifications:
- Bachelor's degree in a quantitative field, economics, or finance from a competitive school
- Highly Proficient in SQL
- 1-2+ years of experience using data to facilitate business or product decisions
- Applicants must be authorized to work without the need for current or future employer-sponsored work visa sponsorship.
Preferred Qualifications:
- Graduate degree in a quantitative field, economics, or finance from a competitive school
- Fluency in either R or Python strongly desired: candidates should be able to acquire, manipulate, transform, and visualize data using these languages
- Understanding of data warehouse architecture and data design
- Responsible and reliable to the people you work with - this is a team effort!
- Growth mindset: you seek out learning opportunities for yourself and the team
- Effective communication skills: you can build the story and then tell it just as well
- Project management savvy: you expect best from your peers to get joint projects done well
- Seize opportunities and willing to go beyond the task at hand
- Responsiveness: you deliver timely, digestible answers to complex asks
- Constantly think of ways to improve our products and the business
Culture at Bird
We're an ambitious, smart and open-minded team that is passionate about our mission. Each day is unlike the last, as we’re constantly moving forward, challenging each other, and working together to create the future of micro-mobility.
Bird is the world
Bird stands for a culture of inclusion. We celebrate different backgrounds, experiences, and perspectives encouraging everyone to bring their authentic selves to work. We have a diverse environment that empowers our team to feel comfortable when they voice their opinions. For these reasons and more Bird is a proud equal employment opportunity employer. We welcome everyone regardless of their race, color, religion, sex, national origin, age, disability, veteran status, or genetics, and we are dedicated to providing an inclusive, open, and diverse work environment.
Sound like a place you’d like to work? Sweet. Let’s chat.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Data warehouse Economics ETL Finance Python R SQL
Perks/benefits: Career development
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.