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Data Scientist
Data Analytics Engineering
Posted on 9/1/2022
INACTIVE
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Agile
AWS
Data Analysis
R
SQL
Tableau
Python
Requirements
  • 3+ years working with data analysis and engineering
  • An Agile development mindset, appreciating the benefit of constant iteration and improvement. A very high bar for output quality, while balancing "having something now" vs. "perfection in the future"
  • Expertise in data modeling, (e.g. SQL, Python), knowledge of cloud data environments (e.g. AWS), and experience with data ETLs and UAT processes
  • Strength in one or more visualization tools (Tableau, R-Shiny, etc)
  • An understanding of the SaaS development, business model and metrics
  • Familiarity working with Product Management, Engineering, Design, Customer Research and Data Engineering teams
  • A degree in a quantitative discipline (e.g. statistics, mathematics, physics, econometrics, or computer science)
Responsibilities
  • Manage marketing analytics data product programs and pipelines (such as attribution or paid performance pipeline)
  • Build productized data assets that meet customer needs that are scalable enough to grow
  • Oversee data requirement gathering (including metrics and definitions alignment), establishing acceptance criteria, QAing, and testing for new products from start to finish to ensure everything is implemented and validated
  • Prioritize improvements and complete deep dives that build short-term improvements while partnering with broader data engineering team to define long-term road map
  • Establish documentation for data product assets
  • Partner with marketing analytics and data engineering leadership to achieve "the best" data models and products
  • Guide demos sessions and education roll out for new data products and features to ensure adoption and usage
Atlassian

5,001-10,000 employees

Software tools for development & project management
Company Overview
Atlassian's mission is to help unleash the potential of every team. The company operates software tools – JIRA, BitBucket, Trello, and more – for team and project management.
Benefits
  • Health insurance
  • Vision insurance
  • Dental insurance
  • Life insurance
  • Flexible or health savings accounts
  • Short-term disability insurance
  • Long-term disability insurance
  • Retirement savings plans
  • Paid time off
  • Catered lunches, wellness reimbursements, onsite fitness
Company Core Values
  • Open company, no bullshit - Openness is root level for us. Information is open internally by default and sharing is a first principle. And we understand that speaking your mind requires equal parts brains (what to say), thoughtfulness (when to say it), and caring (how it’s said)
  • Build with heart and balance - “Measure twice, cut once.” Whether you're building a birdhouse or a business, this is good advice. Passion and urgency infuse everything we do, alongside the wisdom to consider options fully and with care. Then we make the cut, and we get to work
  • Don’t #@!% the customer - Customers are our lifeblood. Without happy customers, we’re doomed. So considering the customer perspective - collectively, not just a handful - comes first
  • Play, as a team - We spend a huge amount of our time at work. So the more that time doesn’t feel like “work,” the better. We can be serious, without taking ourselves too seriously. We strive to put what’s right for the team first – whether in a meeting room or on a football pitch
  • Be the change you seek - All Atlassians should have the courage and resourcefulness to spark change – to make better our products, our people, our place. Continuous improvement is a shared responsibility. Action is an independent one