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Data Analyst, Growth Jobs
Company | Stripe |
Address | Toronto, Ontario, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Software Development,Technology, Information and Internet,Financial Services |
Expires | 2023-05-21 |
Posted at | 1 year ago |
Who we are
About Stripe
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
At Stripe, we’re dedicated to helping millions of companies worldwide to
find the financial products they need to grow their businesses. That’s
why our Growth Data Science team creates intelligent data products and
insights to help us deliver the right message to the right user at the
right time. We collaborate with Marketing and Sales to influence the
go-to-market strategy, boost product adoption, and increase user
retention by making data-driven decisions at scale.
What you’ll do
We’re looking for a Data Analyst to partner with the Marketing team to
measure and improve the marketing performance across channels (e.g.
email, website, events, paid search) and across funnels (e.g.
self-serve, sold), and generate insights to inform data-driven
go-to-market strategy.
Responsibilities
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.
Minimum Requirements
About Stripe
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
At Stripe, we’re dedicated to helping millions of companies worldwide to
find the financial products they need to grow their businesses. That’s
why our Growth Data Science team creates intelligent data products and
insights to help us deliver the right message to the right user at the
right time. We collaborate with Marketing and Sales to influence the
go-to-market strategy, boost product adoption, and increase user
retention by making data-driven decisions at scale.
What you’ll do
We’re looking for a Data Analyst to partner with the Marketing team to
measure and improve the marketing performance across channels (e.g.
email, website, events, paid search) and across funnels (e.g.
self-serve, sold), and generate insights to inform data-driven
go-to-market strategy.
Responsibilities
- Conduct ROI analyses, and generate insights into what campaigns and channels are most effective.
- Design and analyze experiments to improve user acquisition, product adoption, and spend efficiency of marketing campaigns.
- Partner closely with Marketing, Sales, Finance, Engineering and Product teams to identify and address the most impactful challenges with data and analyses.
- Generate insights on key trends on marketing campaign performance.
- Define, implement and maintain the key success metrics and operational metrics for marketing campaign performance across channels (e.g. email, website, events, paid search).
- Design and develop datasets that enable better understanding of marketing campaign performance, and user engagement.
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.
Minimum Requirements
- 3+ years of experience in analytical roles working with large datasets.
- Proficiency in SQL and Python.
- Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Sciences, Engineering).
- A demonstrated ability to manage and deliver on multiple projects with a high attention to detail.
- Ability to communicate results clearly and a focus on driving impact.
- Experience working with cross-functional teams to deliver results.
- Strong knowledge of statistics.
- Expertise in visualization, and using data insights to deliver actionable recommendations and drive business goals.
- Experience with writing and debugging data pipelines using a distributed data framework (e.g. Hadoop, Spark)
- Experience working with Marketing and/or Growth teams.
- Master’s degree in Mathematics, Statistics, Engineering, or a related technical field.
- Experience with experiment design and analysis.
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