Company Description
About Shopify
Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. Since 2006, we’ve grown to over 10,000 employees and generated over $500 billion in sales for millions of merchants in 175 countries. Every 28 seconds, an entrepreneur on Shopify makes their first sale.
This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.
About you
Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.
Before you apply, consider if you can:
Care deeply about what you do and about making commerce better for everyoneExcel by seeking professional and personal hypergrowthKeep up with an unrelenting pace (the week, not the quarter)Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) changeBring critical thought and opinion — and embrace differences and disagreement to get shit done and move forwardWork digital-first for your daily work
Job Description
As a Product Analytics professional, your primary responsibility will be to transform both 1st-party and 3rd-party data into valuable insights that will guide Shopify in determining the products to develop and the most effective strategies to build them. In this role, you will play a crucial part in shaping the future of our company by leveraging data to make informed decisions. You’ll help build the forecasts and understanding that helps Shopify succeed alongside our merchants.
You will thrive in an environment that fosters entrepreneurship and personal growth. Here at Shopify, we believe in the power of our product to create new value for the world and provide unlimited opportunities for personal development. We are a team that gets things done quickly and continuously learns from our experiences. Operating with minimal processes and high trust, we prioritize making an impact over following a prescriptive corporate structure.
To excel in this role, you must have a deep passion for your work and a commitment to constantly improving your craft. Shopify is not for everyone – if you prefer a traditional corporate environment or an in-person office setting, this may not be the right fit. However, if you thrive on change, can solve complex problems, and are seeking a hypergrowth environment, you have found your place.
At Shopify, we value independent thinkers who are dedicated to their growth. While caring deeply about our mission, we also understand the importance of seeing the bigger picture and serving those with differing opinions. You will be challenged to constantly learn and embrace discomfort as you work alongside driven professionals who strive for mastery.
Joining our team means embracing an unrelenting pace and navigating ambiguity with resilience. We are building products for the long-term, aiming to establish Shopify as a 100-year company. As such, you must thrive on change and chaos rather than merely enduring them. Growth is not just an opportunity here; it is an expectation. With the necessary resources to push yourself beyond your comfort zone, you will have the chance to truly thrive in this dynamic environment.
If you are ready to contribute to a company that prioritizes impact, growth, and innovation, then we invite you to join our team of passionate professionals who are dedicated to making commerce better for everyone.
In this role you will:
Identify and solve complex problems across various product, business, and data domains through forecasting, modeling, data analysis and insights.Take ownership of major or ambiguous problems at Shopify and develop innovative solutions that set industry standards.Drive strategy, decision-making, and execution in high-impact areas, effectively communicating with senior leaders to ensure alignment.Establish and improve technical patterns that shape the Data Insights function at Shopify, driving operational excellence and raising the quality bar.Provide thought leadership and guidance to the wider Shopify data community, going beyond individual mentorship to influence the discipline as a whole.Set technical aims and establish patterns that have a significant impact on a specific area or group, contributing to the evolution of the Data Insights subdiscipline.Exemplify expertise in both technical competency and behavior within the Data Insights discipline, showcasing a deep understanding of the craft.Expand influence beyond the subdiscipline, being sought out by product and business leaders for solving complex problems with data-driven solutions.Serve as a technical leader in the industry context, setting high standards for the craft of the subdiscipline.Coach business and product partners on strategy and best practices, extending expertise beyond the subdiscipline.Make a substantial impact on the organization and play a key role in cross-functional roadmaps.
Qualifications
Extensive commercial experience in a data science role solving high impact business problemsExperience building and managing high performance data science teamsExperience delivering business impact through analysis and data productsExperience building data pipelines and driving ETL design decisionsExperience with statistical methods like regression, GLMs or experiment design and analysis, shipping productionized machine learning systems or other advanced techniques are also welcomeTechnical leadership and management experience (you enjoy doing both). You can jump into the code to the level that your direct reports admire and respect, but are also interested in developing people and capacity for your teamExperience creating data product strategies, shipping data products, iterating after launch, and trying againExtensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentalsStrong ability to prioritize and communicate to technical and non-technical audiences alike
It would be great if you have:
Previous experience using Spark (either via Scala or PySpark)Experience with data storytelling using Tableau, QlikView, Mode, Matplotlib, D3, or similar data visualization tools
Additional Information
We hire people, not resumes. If you think you’re right for the role, apply now. Please submit your CV/Resume in PDF format.
Closing date: August 29th at 8:00AM EDT. Successful candidates can expect to hear back from us within two weeks of the posting closing.