Program Analyst - Growth Customer Advocacy
Job Description
Are you excited by the challenge of scaling a fast-growing company through strong analytics and business insights? We’re looking for a Program Analyst with a passion for infrastructure, business intelligence, and driving informed business decisions. You will translate raw data into valuable business insights, guide initiatives to measure business health, build department-level dashboards, invent key performance indicators, and more. An amazing candidate has a background in information systems, data science, applied statistics, economics or a related quantitative field, strong business acumen, proven data visualization skills, experience as a trusted advisor to executives, and deep technical abilities. This is a senior role, but you might not have all of these things and still be an amazing candidate.
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: $152,200 - $202,900
Zone B: $137,000 - $182,600
Zone C: $126,300 - $168,400
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.
Who You Are
5+ years experience in an analytics field, or an equivalent level of awesomeness.
You enjoy finding solutions to new and difficult questions and are not shy about asking some of those questions yourself
You are able to act as a data interpreter between technical teams and non-technical stakeholders, being able to tell a story with data.
You have a strong technical background in data visualization tools like Tableau, you know statistics, SQL, and data instrumentation.
You independently navigate through complexity and ambiguity.
You are able to see a business problem that needs a technical solution, and are excited to solve it just because it needs to be solved.
You have experience working on forecasting and capacity planning.
When presented with a challenge, you can present multiple solution options to senior leaders and explore the possible outcomes.
You are able to balance organization and documentation of your work with the variable urgency of requests and feeling comfortable with the trade-offs that will have to be made in certain situations.
You Might Also Know
B2B, channel sales, marketing, product telemetry, customer lifecycle.
Technical skills in ETL processes, R/Python.
What it’s like working for a software company.
You know how data sciences concepts like algorithm training, logistic regression, and outlier detection fit into analytics solutions.
Distributed computing concepts (Hive/Hadoop) and how that impacts solution designs.
Dabbled in some data sciences because it was interesting.