Senior Analytics Engineer

Chief is changing the face of leadership. Our mission: build the most powerful network focused on connecting and supporting women leaders. Our members are VP and C-level executives across every industry who are leading their companies today and building a more equitable tomorrow. Chief was recently recognized as one of Fast Company's Most Innovative Companies of 2021, and you can read more about us in Forbes or watch us on the Today Show.

Launched in early 2019, Chief is a Series B stage start-up backed by General Catalyst, Inspired Capital, Primary Ventures, CapitalG, and other top-tier investors. The Chief network includes 12,000+ members from across the United States and United Kingdom. We are headquartered in New York City with additional Flagship spaces in Los Angeles, Chicago, San Francisco, and London.

We are tech-powered. Our members make meaningful connections, engage in compelling discussions, and view our unique content through our digital platform. Our Product and Technology teams are building the future of that platform, with data and insights at its heart.

About the Role:

Chief is seeking an experienced Analytics Engineer to join our small but growing fully remote Data team. The mission of this role is to make reliable, well-structured data available for reporting, analysis, machine learning, and data products. While multiple members of the team will participate in building data models, the Analytics Engineer will take the lead on data architecture, processes and best practices. Our current analytics stack is Segment, Redshift, dbt, Looker and you will have a big role in evolving that stack over time. Having rich analytics at our fingertips will be critical to the success of Chief, and this role will help make it possible.

What you’ll do:

[20%%] Architect our dbt project and establish best practices
[20%%] Collaborate with stakeholders across Tech, Product, other Data teams to understand how data models are used now and might be in the future.
[20%%] Mentor other Data team members and distributed analysts on how to contribute to data models
[10%%] Monitor and optimize for performance (materializations, etc.)
[10%%] Weigh in on tool and process decisions about our data stack
[10%%] Propose improved ways to structure our data for reporting and modeling purposes
[10%%] Collaborate with other engineers to ingest new data sources, including third-party data

What you’ve done and enjoy doing:

Experience with dbt and strong SQL skills
Knowledge of data modeling, dbt configuration, and performance implications
Passion for working with stakeholders and curiosity about the business
Eagerness to pitch in on analysis projects and data engineering tasks when needed

You Get Bonus Points For:

Ability to analyze data with Python or R
Experience with Redshift and the broader AWS stack
General software engineering skills and experience: infra, data, data eng.

Why You'll Want to Work Here:

The base salary for this role is: $170,000.00

Competitive salary and equity
Flexible vacation policy and 4.5 day work weeks
20 weeks of paid gender neutral parental leave
Full medical, dental, and vision packages, 401(k)
Opportunity to work for a startup focused on driving real change for women in business
Opportunity to create and attend inspiring experiences and events with leaders of the industry
Access to our ongoing virtual Chief member exclusive content, including workshops, thought leadership, and iconic speakers
Wellness, Work from home and Learning Stipends available

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