Data Analyst

Stripe; Toronto; On-site; CAD 121,000 - 222,000; Full time

Job summary

Join a forward-thinking company where you can leverage your data expertise to drive impactful business decisions. In this exciting role, you'll collaborate with diverse teams to extract insights from complex datasets and build scalable data pipelines. Your work will directly influence the company’s growth and help shape the future of financial infrastructure. With a vibrant community of data professionals, you'll have the opportunity to learn and grow while making a significant impact. If you're passionate about data and eager to tackle challenging problems, this is the perfect opportunity for you.

Benefits

Equity

Company bonus

Retirement plans

Health benefits

Wellness stipends

Qualifications

• 2-8+ years of experience in data roles, building pipelines and analyzing datasets.
• Proficiency in SQL and Python with strong statistical knowledge.

Responsibilities

• Partner with teams to provide data insights for decision-making.
• Build metrics, data pipelines, dashboards, and reports.

Skills

Business Intelligence Engineering

Data Engineering

Data Analysis

Data Science

SQL

Python

Statistical Knowledge

Data Visualization

Project Management

Data Storytelling

Education

Bachelor's degree in a related field

Master's degree in Mathematics, Statistics, Economics, Engineering

Tools

Hadoop

Spark

Job description

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Data Science at Stripe is a vibrant community where data analysts, data scientists and engineers learn and grow together. You will work with some of Stripe’s most fundamental and exciting data, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background.

What you'll do

In this role, you will partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You will work closely with partners to extract insights from Stripe's rich and complex data. You will also work with leaders to translate business needs into data problems. You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You will deliver actionable business recommendations through analyses and data storytelling.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

• 2-8+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems.
• Proficiency in SQL and Python.
• Strong statistical knowledge.
• Expertise in visualization and using data insights to make recommendations and achieve goals.
• Proven ability to manage and deliver on multiple projects with great attention to detail.
• Ability to clearly communicate results and drive impact.
• Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights.

Preferred qualifications

• Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field.
• Prior experience at a growth stage internet or software company.
• Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines.
• Good understanding of development processes and best practices like engineering standards, code reviews, and testing.

Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

The annual salary range for this role in the primary location is C$121,100 - C$221,900. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.

Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends.

At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.