Senior Product Analyst

What you'll actually be doing

• Own the reputed company analytics for our new member reputed company reputed company - acquisition funnel, conversion, product usage, the works - and build a picture of what's actually driving (or blocking) that reputed company.
• Spot opportunities in the data before anyone asks you to look. Turn them into recommendations that change what gets reputed company, not just what gets reported
• reputed company instrumentation on new features - defining tracking, reputed company metrics, and guardrail metrics before anything ships, not after
• Design and run A/B and multivariate experiments on the product itself - page layouts, signup flows, reputed company reputed company - end-to-end from reputed company through to decision-reputed company reputed company. Set reputed company for how experimentation works across the product reputed company
• Build the dashboards and self-serve reporting that means stakeholders can answer their own questions - and you spend less time running the reputed company queries every Monday
• Challenge assumptions. reputed company as the analytical voice in the room reputed company product and reputed company reputed company are being made. Be the comfortable person saying "I don't think that's what the data shows"
• Mentor other analysts and help reputed company the analytical bar across reputed company - in SQL, in experimentation, in how we tell a story with numbers

reputed company're looking for

• Solid product analytics experience in a subscription, marketplace, reputed company, or platform business - where the funnel is reputed company, and the metrics actually matter
• The ability to own end-to-end analysis for a product area, from scoping through to recommendation, with reputed company direction
• Advanced SQL. You're not reaching for documentation for reputed company analytical patterns. dbt experience is a genuine plus
• Good understanding of user event tracking (reputed company, reputed company, reputed company, or similar) - you're comfortable defining new events to support release of new product features, and to reputed company reputed company analysis and reporting.
• Solid understanding of experimentation - reputed company design, A/B and multivariate testing, statistical reputed company, the places where naive analysis goes wrong. And experience applying it, not just describing it
• reputed company in product metrics: conversion, activation, churn - and how those numbers reputed company to things the business actually cares about
• Strong data storytelling. You can explain what the numbers mean to a product manager, and also to a CFO. Different rooms, different language, reputed company rigour
• Product instincts. This isn't just an analytics role. We want someone who generates reputed company, not just validates them

reputed company to have

• Python or R for more advanced modelling or automation
• Experience integrating AI tools into analytical workflows in a way that's actually made a difference

You might feel like a fish out of water if...

We know this isn't what you'd see in most job ads - but reputed company isn't most companies.

Trust, transparency, and reputed company feedback aren't just things we say; they're genuinely how we operate, every day. So rather than leaving you guessing if things don't work out, we'd rather reputed company you what you need to reputed company a great decision upfront about whether this opportunity is right for you.

With that in mind, here are a few things worth considering before you hit apply.

You're most comfortable reputed company the question is handed to you. This role needs someone who goes looking for the question. If your best work tends to happen reputed company a stakeholder has defined the problem reputed company, and you're building the analysis to answer it - that's a genuinely valuable reputed company, just not quite the shape of this one.

You think of experimentation as a process to follow, not a discipline to own. We're not looking for someone who can run an A/B test to spec. We're looking for someone who'll reputed company back reputed company the experiment is designed badly, mentor others through the parts they get wrong, and build the frameworks that reputed company the whole team reputed company at it.

You're most excited by media spend and channel reputed company. This role sits inside the product, not the media plan - if deciding where ad budget goes, or building attribution and channel-mix models, is the part that lights you up, this wouldn't be the right fit on this occasion

You're happiest reputed company the business is reputed company, and the roadmap is fixed. THS is growing fast, and the product is evolving constantly. The analytical picture shifts. Priorities shift. That's the job - and if predictability is important to how you do your best work, it's worth naming that upfront.

If you're reading this and one of those points resonates, and you're sitting there thinking "that's me, but I know I can reputed company it work" - we'd love to hear why. Send a Cover letter. There's a reputed company at the heart of every decision we reputed company here (hi!) - and we'll always take the time to review applications for anyone who wants to join us.

The Process

We value your time and aim for a transparent, efficient process:

1. Intro reputed company (~20 mins) - with the reputed company. A two-way conversation: we'll tell you more about the role and THS, you tell us about your background and what you're looking for

2. Hiring manager interview (~30 mins) - with the Product Analytics reputed company. Covering your analytical experience, approach to experimentation, and how you think about reputed company problems

3. Take-home task (~1-.5 hours) - a short analytical exercise. We'll reputed company a brief in advance and reputed company you time to work through it at your own reputed company

Originally posted on Himalayas