Senior Analytics Engineer

About this role

Own and improve Kit’s sales and creator-commerce data, from dbt models through semantic-layer metrics and dashboards. Partner closely with Sales, Revenue Operations, Product, and Data to make trusted data accessible to people and AI tools.

About the company

Kit is an online platform that empowers creators and brands to showcase their products and services through curated collections. They provide tools and resources to help users engage their audience and drive revenue through affiliate marketing and effective brand partnerships.

The team

Operations and Data & Analytics; partners primarily with Sales and Revenue Operations and reports to the Head of Data.

Stack

What you'll do

• Own and maintain tested, documented dbt models for sales pipeline, deal velocity, stage conversion, win rates, and funnel metrics.
• Build and refresh Omni semantic models and dashboards for Sales and Revenue Operations.
• Model creator-commerce data, including products sold, creator revenue, and conversion.
• Align stakeholders on metric definitions and document decisions and data caveats.
• Make semantic-layer metrics and documentation reliable for self-service and AI-assisted querying.
• Review code and contribute to shared modeling, SQL, and documentation standards.

What we're looking for

• Five to six years in analytics or data engineering, including shipping production data models.
• Several years of hands-on experience building and maintaining production dbt projects.
• Advanced SQL and sound data-modeling judgment, including facts, dimensions, grain, joins, and history.
• Experience modeling sales or GTM data and familiarity with CRM data patterns; HubSpot or Salesforce experience.
• Experience partnering directly with Sales or Revenue Operations and owning business-critical reporting.
• Experience with BI dashboards and semantic layers such as Omni or Looker.
• Daily use of AI coding tools, with careful validation of generated work.
• Clear written communication, ownership, and comfort working independently amid ambiguity.

Nice to have

• Redshift performance tuning, including sort and distribution keys.
• Python scripting or API integrations; reverse ETL.
• Experience with product events, billing, payments, or ecommerce data.
• SaaS experience with both self-serve and sales-led motions; commerce or creator-economy experience.

Benefits

• $50,000 in equity and profit sharing.
• 401(k) with a 5% match.
• Medical premium contribution up to $2,280 per month; dental and vision premiums covered.
• 20 days of paid time off, 10 paid holidays, and two weeks of paid sick time annually.
• 12 weeks of paid parental leave; childcare benefit up to $3,000 annually.
• $3,500 annual learning and development budget and equipment allowance.
• Paid winter break, vacation bonus, and four-week paid sabbatical after five years.
• Twice-yearly team retreats.

Hiring process

1. Recruiter phone screen (30 minutes)
2. Hiring manager interview (45 minutes)
3. Take-home assignment
4. Technical interview (60 minutes)