Data analyst in SaaS

SE Ranking; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

22 days of paid time off, plusNational

Flexible work hours

Private medical insurance or medical_

Extended paid sick leave

Career map with growth opportunities

Quarterly learning budget

Quarterly wellbeing budget

Best hardware for your work (teamApple

Award-winning product loved by N ofX

Transparent, flexible culture

Fun events

Job summary

SE Ranking Limited ищет старшего аналитика данных, который сможет проектировать эксперименты, формулировать смысл метрик и моделировать данные. Ваша работа повлияет на стратегию продукта и ключевые показатели, определяя, какие тесты стоит проводить и как интерпретировать результаты для принятия решений.

Вы будете развивать внутренний инструмент AI Analyst и сотрудничать с кросс-функциональными командами, включая продукт, маркетинг и инженерию.

Qualifications

• Solid senior-level experience as a data analyst in SaaS
• Proficient in designing, sizing and analysing A/B tests
• Able to translate analyses into actionable recommendations
• Expert SQL and Python; comfortable with Looker for insights
• Strong data modelling and analytics engineering with dbt
• Interest in AI and willingness to explore AI in analytics
• Autonomous, cross-functional and capable of working in a lean remote team
• Nice-to-have: Data science experience / ML models and senior levels

Responsibilities

• Drive high-impact projects from vague business questions to shipped outcomes
• Design and assess experiments including A/B tests
• Analyse experiments honestly and explain their meaning, including non-significant results
• Provide recommendations with clear rationale and required data
• Define company metrics and their drivers
• Build datasets and models via ETL/ELT and dbt
• Collaborate with product, marketing, R&D and engineering

Skills

SQL

Python

Looker

Data modelling

dbt

Experiment design

A/B testing

AI awareness

Tools

Looker

dbt

Python

Job description

Описание

We're looking for a Senior Data Analyst who's equally happy designing an experiment, arguing about what a metric actually means or modelling data. You'll own the analysis behind how we decide things — which tests are worth running in collaboration with our stakeholders, what the results actually say, and what we should do next — or help build AI Analyst, our internal MCP that lets anyone ask the data a question without filing a ticket. Your work will shape the numbers the company steers by, from the product North Star to the leading indicators that tell us where revenue is heading before it gets there.

Задачи:

Drive high-impact projects end to end — from a vague business question to a shipped outcome. We'll agree the why and the what together; the how is yours. Design and assess experiments — judge whether an A/B test is viable in the first place, design it properly when it is, and build a credible pre/post or quasi‑experimental read when it isn't Analyse experiments honestly and say what they mean — including the ones that didn't work, and the ones where the data can't carry the conclusion someone wants Make recommendations, not just dashboards — a big part of this role is landing a point of view: what we should do, why, and what you'd need to see to change your mind Define the metrics the company steers by — and how are they impacted by the different levers we have to achieve our goals Build the datasets and models the rest of us rely on — ETL/ELT transformations, curated datasets per business use case, and our migration to dbt Help build AI Analyst, our internal MCP, so stakeholders can self‑serve answers Partner closely with product, marketing, R&D and engineering, keeping expectations managed and flagging delays early with a reason and a new date

Требования:

• Solid senior-level experience as a data analyst in SaaS — you know NDR, expansion, contraction and MRR as things you've modelled, not terms you've heard
• Real experimentation depth — you've designed, sized and analysed A/B tests, you know when a clean test isn't possible and what you'd do instead, and you're comfortable being the person who says a result isn't significant
• A habit of ending with a recommendation — you're analytical and opinionated, you tell people what you think they should do based on evidence, and you're clear about how confident you are
• Expert SQL, Python for the work SQL can't do, and comfort in Looker (or a close equivalent) for getting insight in front of people
• Strong data modelling and analytics engineering — you build the layer everyone else relies on rather than just querying it, with real dbt mileage
• A genuine appetite for AI — you're already using it in your workflow and curious about what it changes for analytics
• Generalist range and real autonomy — you move between product, marketing, R&D and revenue questions, drive your own projects, know who to ask when you're stuck, and don't stall when priorities shift in a lean remote team
• Будет плюсом: Data science experience — building ML models and getting them into production; Experience at principal or staff level; we're open to those levels for the right person

Условия

• 22 days of paid time off, plus your local national holidays
• Flexible work hours and a culture that trusts you to manage your time
• Private medical insurance or a medical allowance (depending on your location)
• Extended paid sick leave so you can fully recover without worry
• Career map with growth opportunities
• A quarterly learning budget for courses, books, or anything that helps you grow professionally
• A quarterly wellbeing budget you can use for sport, therapy, or even a good novel
• Best hardware for your work (team Apple)
• An award-winning product loved by thousands of customers worldwide
• A transparent, flexible culture with people at the core of everything we do
• Events that are actually fun