iFIT’s vision is to create the world's most holistic health and fitness platform, integrating all elements of health - physical fitness, mental health, nutrition and active recovery - into a seamless interactive experience. We develop proprietary software that learns and adjusts to the habits of each person as it delivers immersive content that guides them on their own individual fitness journey.

iFIT is hiring a Senior Analyst, Digital Analytics & Experimentation to own conversion and the customer journey across NordicTrack and ProForm’s direct-to-consumer sites in Europe. You find where the journey breaks, you prove what works through testing, and you put a revenue number on every improvement. You report to the Head of DTC Europe, and you own the result.

The mandate is durable conversion and revenue growth, built on a testing programme that works at every level of the journey instead of one lucky winner. Homepage, landing pages, category pages, search, PDP, cart, checkout: all of it. You’ll land early wins fast. But a test is a means, not the job. The job is to decide what’s worth testing, what isn’t, and what an improvement is really worth to the business.

WHY JOIN IFIT AND NORDICTRACK

Connected fitness is a growing category at the centre of health and wellness, and iFIT, NordicTrack and ProForm are right in it. We sell more than equipment: the iFIT membership keeps customers training, so every conversion, every test and every journey decision is a lifetime-value decision, not a one-time sale.

You’ll be the person the European leadership turns to for what’s working, what’s next and what it’s worth, with a direct line to the people making the calls. You’ll shape the experience on six sites, four markets and two brands, and you’ll build the testing culture of the team.

SITES AND MARKETS

You cover six owned sites across four markets and two brands. They don’t behave the same way, and they don’t take the same test plan.

NordicTrack: France, UK, Germany and Spain (nordictrack.com/fr, /uk, /de, /es).
ProForm: France and UK (proform.com.fr, proform.com/uk).

High-ticket products sold with a subscription, long considered purchases and moderate traffic per market: statistical discipline matters as much as the test idea.

ROLE COMMITMENTS

Grow DTC conversion and deliver annualised incremental revenue from tested improvements.
Grow subscription attach and customer lifetime value, not just the order rate.
Run a testing programme at a steady cadence, with real statistical rigor.
Diagnose every level of the journey, market by market and brand by brand.
Put a revenue number, with explicit assumptions, on every opportunity.
Make the numbers trusted: what gets announced shows up in the P&L.

WHAT YOU’LL DO

Customer Journey Analytics

Map the journey from first visit through purchase and subscription, at every level: homepage, landing pages, category pages, on-site search, PDP, cart and checkout (shipping, billing, purchase).
Find what drives conversion and what blocks it at each level, by market and by brand, and tell us where to optimise first.
Use FullStory (session replay, rage clicks, errors) and GA4 to link a symptom to its cause.
Diagnose performance changes by traffic source, product and funnel step; tell a page problem from a traffic problem, especially on landing pages, with Marketing.
Explain movements vs LY with causes, not just numbers.
Read web and Inside Sales as one journey, not two channels.
Keep documented KPI definitions for conversion and journey metrics, so every team works from one source of truth.

Experimentation and CRO

Run the testing program end to end: hypothesis, design, QA, readout and decision.
Build and priorities the test backlog on impact, effort and statistical feasibility.
Design every test: hypothesis, primary KPI and guardrails, MDE, power calculation, duration.
Set up tests in Kameleon and build simple variants yourself; scope the complex ones with Digital Product.
Adapt the method to moderate volumes: pool markets where it’s valid, use sequential or Bayesian approaches, and make the call when a test isn’t worth running.