Senior Data Scientist Product Analytics Halp at Atlassian

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. 
Atlassian helps teams everywhere change the world, and our software is used by more than half of the Fortune 100 companies, connecting people with content and co-workers they need to get their jobs done, faster. Our products are revolutionizing the software industry and helping teams collaborate and craft the magic that delivers their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to advance humanity!
Do you have a passion for crafting products and insights with data? Do you enjoy using data to solve business problems and create customer value? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company? Then this role could be for you!
This role is a unique opportunity to work with a fast-moving team that joined Atlassian via acquisition and is growing quickly. You’ll be the first data scientist focused on this product, giving you the opportunity to build the entire analytics architecture from the ground up while working with a small, agile team. At the same time, you’ll be able to leverage the resources, brand, and scale of a global Fortune 100 company.
The product you will be focused on is Halp - one of Atlassian’s new products. Halp is a conversational ticketing solution for internal IT and operations teams using Slack and Microsoft Teams. The product impacts millions of employees at future-thinking companies like Peloton, Pinterest, and Unity. It is used to dramatically reduce ticket resolution times, increase user satisfaction, and amplify productivity. Our customers produce millions of interactions with the product every week, creating a treasure trove of valuable data.
In this role you'll get to:
Own the data analytics efforts for the entire Halp product.Build out the data architecture, systems, and dashboards to enable everyone at the company to access and understand Halp’s data. Work closely with the product, engineering, design, and marketing teams to ensure we are measuring the right things to make data-driven decisions. Design targeted explorations of Halp’s product data, in order to understand trends, find opportunities, and make recommendations to improve user journeys and customer valueDrive the measurement culture from understanding the big picture product strategy right down to the experiment implementation details.Envision, scope, and execute projects by collaborating with partners, customer research, data engineers and other analystsShare your high-quality insights and recommendations to various levels of leadership to drive critical business decisionsBe part of building an outstanding analytics culture at Atlassian. Leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decisions
On the first day, we'll expect you to have:
Proven experience applying your analytics skills to projects which have had a positive impact on company level business and product decisionsAn agile development mentality, appreciating the benefit of constant iteration and improvementA very high bar for output quality, balancing “having something now" vs. "perfection in the future"Strong ability to communicate, explain complex concepts to diverse audiences, and craft compelling storiesFamiliarity working with Product Management, Engineering, Design, Customer Research and Data Engineering teamsExpertise in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)Experience in using statistics as part of your role (e.g. regressions, A/B tests, forecasting)Proficiency in at least one visualization tool (e.g. Tableau, R-Shiny)A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)
It's a bonus, but not required, if you have:
Previously worked in global teams and high growth companiesAn understanding of the SaaS development, business model and metricsExperience in customer and/or product analytics, particularly in delivering outputs that can be used to advance analytics projects across an organizationExperience in building ETL pipelines using any tools or scripting languagesAre an active member of the broader analytics and data science communityAdvanced degree in Computer Science, Math or Statistics