Senior Analytics Engineer

About Anaconda

Be at the center of AI

Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda AI Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is backed by world-class investors including Insight Partners.

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 Analytics Engineer to join our internal Data & Analytics team. You will be working closely with our Product, Engineering, and Marketing teams to gather requirements and translate them into a data product. Analytics engineers provide clean data sets to end users, modeling data in a way that empowers end users to answer their own questions. This is an amazing opportunity for you to leverage your experience and skills to help Anaconda push the limits of what’s possible with data science and AI.

What You’ll Do:

• Design, build, and maintain scalable and robust data pipelines to ingest, process, and store large volumes of data from various sources.
• Develop and maintain dbt data models, including star and snowflake schemas, to support analytics and reporting needs.
• Collaborate with data analysts, data scientists, and business stakeholders to understand their data requirements and deliver actionable insights.
• Implement data quality and validation processes to ensure data accuracy and reliability.
• Optimize and improve existing data pipelines for performance and scalability.
• Create and maintain comprehensive documentation for data pipelines, data models, and analytics solutions.
• Assist in the development and maintenance of our data warehouse and data lake infrastructure.

What You Need:

• 8+ years of relevant experience
• Strong proficiency in SQL & experience with Snowflake or similar SQL cloud data warehouse
• Proficiency in dbt & Git for version control and collaborative development
• Proficiency in Python programming and familiarity with its data science libraries (NumPy, Pandas, Scikit-learn)
• Experience with AWS or equivalent cloud services
• Familiarity with both SQL and NoSQL transactional databases
• Excellent communication skills to present complex findings to both technical and non-technical audiences
• Track record of delivering data-driven solutions in a professional setting
• Team attitude: “I am not done, until WE are done”
• You embody our values of Clarity, Care and Candor
• Care deeply about fostering an environment where people of all backgrounds and experiences can flourish

What Will Make You Stand Out:

• Demonstrated success working for freemium or open source SaaS products in a cross functional environment

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*
• Paid parental leave - both parents
• Monthly productivity stipend
• Open vacation policy*
• Quarterly Snake days (company-wide bonus day off)
• 100% remote

*FTE employees based on your region.

The application deadline for this role is 09/28/2025; applicants will be reviewed on an ongoing basis until the role is filled.

The base salary range for this role is $174,000 - $226,500 for candidates in New York City and San Francisco, and $130,500 - $192,500 for other US-based team members, along with annual bonus potential, equity participation, and benefits.

Our salary ranges are determined by role, level, and location. Within the range, individual compensation is determined by various factors, including work location, job-related skills, experience, and relevant education or training. Your recruiter will provide more specific details on the salary range for your preferred location during the hiring process.

In addition to base salary, we offer a comprehensive benefits package that includes:

• Flexible Vacation Policy
• Medical, Dental, and Vision Insurance
• Short Term and Long Term Disability
• Paid Parental Leave
• Annual Remote Work and Wellness Stipend
• Employee Assistance Program and Mental Health Resources

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.

Anaconda, Inc. (“We”, “Us”) are committed to protecting and respecting your privacy. This Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to Us, will be processed by Us in connection with Our recruitment processes. By clicking “Submit Application”, you acknowledge you have read our Privacy Policy and that Anaconda can retain your application data for up to 1-year, unless otherwise stated. For the purpose of the General Data Protection Regulation (“GDPR”) ”) and the version of the GDPR retained in UK law (the “UK GDPR”) the Data Controller is Vanessa Macilwaine.

Anaconda is an EEO/AA employer M/F/V/D.

Originally posted on Himalayas