Product Data Analyst

Timothy
Achu

I turn product data into decisions — specialising in user behaviour analytics, A/B testing, and dashboards that product teams actually use.

Follow
4+
Years Experience
30+
A/B Tests Run
$2.4M
Revenue Impact
01

Core Skills

📊
Product Analytics
Funnel analysis, cohort retention, segmentation, and feature adoption metrics that guide roadmap priorities.
🧪
A/B Testing
Experiment design, statistical significance, power analysis, and communicating results to stakeholders.
📈
Dashboard Design
Building self-serve dashboards in Looker, Tableau, and Mode that empower product managers to make data-driven decisions.
🐍
Python & SQL
Advanced SQL for complex queries, Python for statistical modelling, automation, and data pipeline development.
🔍
User Research
Combining quantitative data with qualitative insights to build a complete picture of user needs and friction points.
🎯
Metric Definition
Defining north star metrics, KPIs, and guardrail metrics that align teams around measurable outcomes.
02

Featured Projects

Python Amplitude SQL

Onboarding Funnel Optimisation

Identified a critical drop-off at step 3 of the signup flow through cohort analysis. Designed and ran an A/B test on a simplified layout that reduced friction.

↑ 18% improvement in activation rate
Day 7
Day 14
Day 30
Looker BigQuery dbt

Retention Dashboard Suite

Built a self-serve retention analytics dashboard used daily by 5 product teams. Reduced ad-hoc data requests by automating cohort reports.

↓ 60% reduction in data request tickets
Jan Jun Dec
Statsig Python Pandas

Pricing Experiment Analysis

Led statistical analysis for a multi-variant pricing test across 3 markets. Modelled elasticity curves and revenue sensitivity to guide the pricing team.

↑ $800K annualised revenue uplift
Market A Market B
dbt BigQuery Terraform

Analytics Data Pipeline

Designed and implemented a modular analytics pipeline using dbt. Created a semantic layer that standardised metric definitions across the organisation.

✓ Single source of truth for 12 core KPIs
Raw Events
→
dbt Models
→
Metrics Layer
→
Dashboards
03

Experience

2023 — Present
Senior Product Data Analyst
Acme SaaS
Leading analytics for the Growth pod. Own experimentation framework, retention metrics, and self-serve dashboard infrastructure serving 5 product teams.
2021 — 2023
Product Data Analyst
DataDriven Inc.
Built the company's first cohort retention model and partnered with PMs to redesign the onboarding flow, lifting activation by 18%.
2019 — 2021
Junior Analyst
StartupCo
First analytics hire. Set up event tracking with Amplitude, created the company's core KPI dashboard, and automated weekly reporting with Python.
04

Tools & Technologies

SQL Python Pandas NumPy scikit-learn Looker Tableau Mode BigQuery Snowflake dbt Amplitude Mixpanel Statsig Git Airflow Excel HTML
Get In Touch

Let's Work Together

Open to full-time roles and consulting engagements.

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