Role: Senior Business Analyst

Reports to: Director of Product Operations

Department: Product

Location: Remote, US

Job Type: Full Time, Exempt

Help us Shape the Future of Data

Anaconda is the world’s most popular data science platform. With more than 30 million users, the open source Anaconda Distribution is the easiest way to do data science and machine learning. We pioneered the use of Python for data science, champion its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open source for competitive advantage and groundbreaking research.

Anaconda is seeking people who want to play a role in shaping the future of enterprise machine learning, and data science. Candidates should be knowledgeable and capable, but always eager to learn more and to teach others. Overall, we strive to create a culture of ability and humility and an environment that is both relaxed and focused. We stress empathy and collaboration with our customers, open-source users, and each other. 

Here is why people love most about working here: We’re not just a company, we’re part of a movement. Our dedicated employees and user community are democratizing data science and creating and promoting open-source technologies for a better world, and our commercial offerings make it possible for enterprise users to leverage the most innovative output from open source in a secure, governed way.

Summary

Anaconda is seeking a talented Senior Business Analyst to join our rapidly-growing company. This is an excellent opportunity for you to leverage your experience and skills and apply it to the world of data science and machine learning.

What You’ll Do:

• Understand data, data sources, and limitations
• Ensure data integrity and quality
• Initiate data projects on data stored in Snowflake data warehouse
• Maintain analytics queries and reports, as well as respond to ad-hoc requests, for multiple departments
• Support communication processes among engineers, data scientists, and stakeholders
• Work across teams to develop internal and external data reporting standards
• Collaborate with multiple departments to improve data collection processes
• Monitor and analyze changes to our online platforms and product suite that impact registrations, engagement, and conversion rates
• Identify and address operational, financial and technological risks within the business
• Identify and capitalize on improvement opportunities
• Identify innovative ways to increase customer satisfaction
• Creating monthly performance reports
• Communicating ideas and viewpoints to senior management
• Maintain a deep understanding of our business and product
• Develop and maintain documentation on data

What You Need:

• MBA, MA/MS, or BS in statistics, data science, or technical field
• 5+ years work experience
• Proficient in SQL, Excel
• Proficiency in at least one analytics/visualization platform
• Familiar with data warehousing
• Able to translate business requirements to data queries and reports
• Experience developing and maintaining reports ready for use by data scientists
• Experience developing dashboards for senior managers and leaders that measure key performance indicators and provide actionable insights  
• Proficient in business productivity tools (Word, G Suite)
• Learning-oriented
• Attentive to detail
• Highly organized
• Skilled in communication, negotiation, and relationship building

What Will Make You Stand Out:

• Experience working in a fast-paced startup environment
• Experience working in a open source or data science-oriented company
• Experience being part of the development of PaaS and/or SaaS products
• Familiarity with Python; proficiency in Python and/or R a plus
• Familiarity with Snowflake and/or Metabase a plus
• Previous start-up experience a plus

Why You’ll Like Working Here:

• Unique opportunity to translate strong open source adoption and user enthusiasm into commercial product growth
• Dynamic company that rewards high performers
• On the cutting edge of enterprise application of data science, machine learning and AI
• Collaborative team environment that values multiple perspectives and clear thinking
• Employees-first culture
• Flexible working hours
• Medical, Dental, Vision, HSA, Life and 401K
• Health and Remote working reimbursement 
• Paid parental leave - both mothers and fathers
• Pre-IPO stock options
• Open vacation policy and monthly company days off known as Snake Days
• 100% remote and flexible working policy – we embrace this fully through how we operate as a company.

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.