Senior Analytics Engineer

Kit (formerly ConvertKit)

. Own Kit's sales and commerce data end to end .

Posted 11/10/2026full-timeRemote • United StatesSenior💰 $172,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in dbt modeling, advanced SQL, and CRM data fluency, with a strong focus on building and maintaining production data models for sales and revenue operations. Capable of clear communication regarding metric definitions and collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Deep Dbt ExperienceAdvanced SQL ProficiencyCRM Data FluencyBI Tool ExperienceAnalytics Engineering Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Dbt ModelingAdvanced SQLSales Data ModelingData Pipeline MetricsMetric Definition DocumentationData Governance StandardsProduction Data ModelsIncremental ModelsCloud Warehouse QueriesData Domain Ownership

Soft Skills

Clear Written CommunicationIndependent Decision-MakingCollaboration

Tools & Technologies

HubSpotSalesforceOmniLookerGitAI Code EditorsDbt CloudCursorClaude CodeCodex

Industry Keywords

SaaSSales-Led MotionsEcommerce DataRevenue OperationsSales Analytics

Tech Stack

Tools & technologies

Amazon RedshiftCloudETLPythonSQL

About the role

Key responsibilities & impact

Own Kit's sales and commerce data end to end
Build dbt models transforming CRM data into trusted pipeline, deal, and funnel metrics
Build and maintain Omni dashboards used by Sales leadership and Revenue Operations
Model creator-commerce data covering products sold, revenue earned, and conversion
Support Product reporting, including feature-usage reporting
Map HubSpot objects into dbt models and document data gaps
Audit sales reporting and reconcile differing metric definitions and numbers
Ship well-tested and documented models for pipeline, deal velocity, stage conversion, win rates, and sales-led funnel metrics
Expose metrics through Omni's semantic layer within governance standards
Rebuild or refresh sales dashboards for pipeline reviews and forecasting
Resolve competing metric definitions with Sales and RevOps and document outcomes
Write semantic-layer descriptions, metric definitions, and documentation for Omni AI and MCP-connected AI tools
Enable Sales self-service for routine questions through dashboards and AI tools
Review pull requests, contribute to SQL/dbt/documentation standards, and improve modeling quality
Partner with Data Engineering, Product, Sales, and RevOps
Report to the Head of Data; individual contributor with no direct reports

Requirements

What you’ll need

Deep dbt experience, including modular, tested, documented projects, incremental models, snapshots, macros, CI, and scheduled jobs in dbt Cloud or similar
Advanced SQL, including reasoning about grain, joins, and window functions and writing readable, performant cloud-warehouse queries
Experience modeling sales and GTM data, including deals, pipeline stages and history, ownership changes, and funnel conversion
CRM data fluency; HubSpot preferred, with Salesforce or other CRM experience also applicable
Daily use of AI code editors and agents such as Cursor, Claude Code, Codex, or similar, with validation through tests, query results, and review
Clear written communication of metric definitions, tradeoffs, and data caveats
BI and semantic layer experience with Omni, Looker, or a similar BI tool
Git-based workflows, including small, well-described pull requests and thoughtful code review
Five to six years in analytics engineering or data engineering personally shipping production data models
Several years of hands-on experience building and maintaining production dbt projects
Experience working directly with Sales teams and RevOps and owning business-critical reporting
Experience owning and evolving a data domain as business questions changed
Experience working at a SaaS company, ideally with self-serve and sales-led motions
Experience working on a small or remote team with independent decision-making
Nice to have: Redshift performance tuning, Python for scripting or API pulls, reverse ETL, and product event, billing, payments, or ecommerce data experience

Benefits

Comp & perks

Profit Sharing
Kit equity
401k with a 5% match
We cover up to $2,280 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)
Creator meetup budget ($50/month) to connect with creators over coffee, lunch, or other in-person meetups
Gender affirming benefits
Childcare benefit up to $3,000 annually through JOON
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. Essential support services remain available, with teams coordinating to ensure coverage during this period
Four-week, paid sabbatical after five years with the team
Fantastic in-person or virtual retreats with the team twice a year