Job Description

About Efficiently

---------------------


Efficiently is an enterprise SaaS platform transforming the design and construction industry. Our platform replaces spreadsheets, PDFs, and disconnected tools with one structured system for catalog management, presentations, finish schedules, approvals, and AI-powered workflows.


We are now scaling our data infrastructure and looking for an analytics professional who can bridge

Amplitude event analytics

with

SaaS business intelligence

-- connecting product usage, activation, retention, and revenue metrics into one cohesive story.

Role Overview

-----------------


You'll be the analytical backbone of Efficiently's SaaS growth model -- owning instrumentation, data quality, and performance analysis across marketing, product, and revenue teams.


You'll define how we measure and optimize the

SaaS funnel (acquisition activation retention revenue)

and build dashboards that guide real decisions -- not just vanity metrics.

Key Responsibilities

------------------------

Instrumentation & Data Quality

Architect and maintain event tracking across product and marketing experiences using

Amplitude

. Define taxonomy for events and properties (naming conventions, hierarchy, source of truth). Partner with engineers to ensure precise instrumentation and retroactive QA.

SaaS Funnel Analytics

Design, implement, and analyze metrics for:

+ Activation rate, conversion rate, retention, churn, expansion.
+

CAC / LTV modeling

, payback period, ARR growth.
+ Cohort and funnel analysis (trial-to-paid, user activation, upgrade journeys).
Partner with Growth to correlate marketing metrics with product engagement and SQL pipeline.

Business & Pipeline Insights

Connect

Amplitude usage data

with

Salesforce/HubSpot pipeline

to track how product usage drives SQLs, Opps, and ARR. Develop dashboards that bridge

marketing, product, and sales

data. Identify signals of healthy accounts (feature usage, frequency, collaboration).

Experimentation & A/B Testing

Design and evaluate A/B tests across product and growth channels. Use data to recommend next steps, feature prioritization, and campaign changes.

Enablement & Collaboration

Build dashboards and train teams (Product, Growth, Sales) to self-serve insights. Communicate data stories clearly to leadership -- what's working, what's not, and why.

Requirements

----------------

Must-Have:

4-6 years in SaaS analytics or product growth analytics. Deep expertise with

Amplitude (events, cohorts, retention, funnels)

. Strong command of

SaaS metrics

-- CAC, LTV, ARR, churn, activation, retention, MRR expansion. SQL proficiency for data extraction and cleaning. Proven experience connecting

marketing/product data

with

sales pipeline

(HubSpot, Salesforce). Strong understanding of

B2B SaaS funnels

(PLG and sales-assisted).

Preferred:

BI experience (Looker, Tableau, PowerBI). ETL familiarity (dbt, Fivetran, Airbyte). Basic Python for data analysis/automation. Experience with A/B testing, attribution modeling, and data quality governance.

Success in 90 Days

----------------------

Implement complete event taxonomy across product. Deliver dashboards tracking trial activation, conversion, retention, ARR. Integrate Amplitude HubSpot/Salesforce pipeline reporting. Present the first cohort analysis linking product engagement ARR growth.

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