Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

You will be part of Atlassian’s Go-To-Market Analytics organization focused specifically on planning strategic initiatives spanning Atlassian’s entire enterprise business. This role will partner with key stakeholders across product, marketing and sales to deliver accurate forecasts for future cycles.

Responsibilities

• Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work.

• Apply technical expertise with quantitative analysis, time-series analysis, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges.

• Partner with cross-functional teams to inform, influence, and execute strategy decisions

• Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends.

Qualifications

• Bachelor’s degree or equivalent in a STEM field (e.g. statistics, mathematics, physics, econometrics, computer science, data science)

• 4+ years of experience in Data Science or related fields

• Experience applying models to forecast 

• Proficiency in SQL AND another data manipulation language (e.g. Python, R, Scala)

• Proficiency in Microsoft Excel/Google Sheets

• Experience telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, Power BI)

• Strong understanding of statistical concepts (e.g. regression, clustering, probability, exponential smoothing) and how to apply them to practical questions

• Experience building machine learning models with emphasis on supervised learning (Naive Bayes, SVM, Regression, KNN, etc)

• Ability to craft analysis into well-written content

Desirable Qualifications

• Experience with Jupyter Notebook or Databricks

• Experience applying statistical models to sales data and forecasting pipeline and/or bookings

• Experience modeling for time series analysis (e.g. exponential smoothing, FB Prophet, LSTM)

• An understanding of the SaaS business model and key metrics

Compensation

At Atlassian, we strive to design equitable, explainable,
and competitive compensation programs. To support this goal, the baseline of our range is higher than
that of the typical market range, but in turn we expect to hire most candidates near this baseline.
Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience.
In the United States, we have three geographic pay zones. For this role, our current base pay ranges
for new hires in each zone are:

Zone A: $149,000 - $198,700

Zone B: $134,100 - $178,800

Zone C: $123,700 - $164,900

This role may also be eligible for benefits, bonuses, commissions, and equity.

Please visit go.atlassian.com/payzones for more
information on which locations are included in each of our geographic pay zones. However, please confirm
the zone for your specific location with your recruiter.

Our perks & benefits

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.