Complete onboarding in Notion and meet your teammates through Get-To-Know-You calls. Get oriented in our core tools: dbt, Github, Redshift, Omni, Slack, and Linear. Start reading existing documentation on our Reporting Hub architecture and canonical metric definitions.
Audit active Reporting Hub models across Finance, Marketing, Sales, Product Strategy, and Creator Lifecycle. Map current churn logic implementation and identify inconsistencies in canonical metric definitions. Assess Redshift performance strain areas and flag fragile model dependencies. Publish a written architectural assessment memo with your initial findings and recommended priorities. Serve as the data team’s voice in cross-functional discussions about metric definitions, attribution logic, and analytical rigor across Finance, Product, and Marketing.
Propose and begin executing a 6–12 month modernization roadmap for our modeling layer. Refactor the highest-risk models across all business verticals Clarify attribution model contracts and improve cross-functional documentation standards. Measurably reduce warehouse inefficiencies through distribution and sort key optimization, not infrastructure scaling. Improve Segment event modeling structure and align event design with reporting needs in partnership with Product and Engineering. Drive company-wide adoption of canonical metrics by working directly with functional leads to replace ad hoc definitions with documented, auditable standards.
Complete the Reporting Hub foundation across business verticals with canonical metric consistency enforced. Enable true stakeholder self-serve, so teams can explore data without relying on the Data team for routine questions. Reduce model rework caused by upstream ambiguity through upstream design patterns and documentation. Raise the overall modeling sophistication of the Data team through mentorship, standards, and shared tooling.

Requirements

7–10+ years working in analytics engineering, data engineering, or a closely related role, with at least a few years operating at a senior or staff level.
Designed or significantly refactored a warehouse modeling layer in a production environment.
Built or stewarded canonical metric definitions in a multi-stakeholder environment.
Worked in a SaaS company where revenue recognition, churn logic, or subscription modeling was a core part of the work.
Experience with product analytics modeling, Segment event architecture, identity resolution, or cohort/retention modeling is a strong plus.
Collaborated with infrastructure engineers to address performance challenges at the warehouse level.

Benefits

Profit Sharing
Kit equity
401k with a 5% match
We cover up to $2,100 per month toward medical premiums, with dental and vision premiums fully covered. We offer Health Insurance plans through Aetna
$2,000 equipment allowance for your first two years, $1,000 budget every following two years. Company-provided laptops are issued to every Kit team member and are not included in the equipment budget
Individual learning + development budget ($3,500/year)
Gender affirming benefits
Childcare benefit up to $3,000 annually
Twenty (20) days of paid time off during each year of employment
Paid paid vacation: An after-tax bonus of $1,000 for taking five consecutive days of vacation where you’re fully unplugged from work
Ten (10) paid holidays a year
Two weeks of paid sick time each year, including mental health + well being days
Twelve (12) weeks paid parental leave and flexible scheduling in your child’s first year
Up to six weeks of paid bereavement leave, medical leave, and disaster after six months of employment, two weeks of each paid leave in your first six months
Winter Break Closure: Kit closes for a week at the end of December, giving everyone a collective break to enjoy the holiday season.
Four-week, paid sabbatical after five years with the team
Fantastic in-person or virtual retreats with the team twice a year

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

analytics engineeringdata engineeringwarehouse modelingcanonical metric definitionsproduct analytics modelingSegment event architectureidentity resolutioncohort modelingretention modelingperformance optimization

Soft Skills

cross-functional collaborationmentorshipdocumentation standardsanalytical rigorstakeholder communicationproblem-solvingorganizational skillsleadershipstrategic planningexecution