
51 - 200 employees
Founded 2012
đŒ Consulting
đŁ Marketing
đïž eCommerce
Consulting âą Marketing âą eCommerce
SE Ranking is an all-in-one SEO platform designed to enhance online visibility and digital marketing strategies for agencies and businesses of all sizes. Established in 2013, it provides a wide range of tools including rank tracking, website audits, backlink checks, and comprehensive keyword research, all powered by advanced AI technology. Trusted by over 40,000 businesses globally, SE Ranking aims to make SEO management accessible and effective, ensuring users can optimize their strategies based on insightful data and analytics.
đ„ 3 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
Founded 2012
đŒ Consulting
đŁ Marketing
đïž eCommerce
Consulting âą Marketing âą eCommerce
SE Ranking is an all-in-one SEO platform designed to enhance online visibility and digital marketing strategies for agencies and businesses of all sizes. Established in 2013, it provides a wide range of tools including rank tracking, website audits, backlink checks, and comprehensive keyword research, all powered by advanced AI technology. Trusted by over 40,000 businesses globally, SE Ranking aims to make SEO management accessible and effective, ensuring users can optimize their strategies based on insightful data and analytics.
âą Drive high-impact projects end to end, from vague business questions to shipped outcomes âą Design and assess experiments, including A/B tests and alternative pre/post or quasi-experimental approaches âą Analyse experiments honestly, including unsuccessful or inconclusive results âą Make recommendations based on evidence rather than only producing dashboards âą Define the metrics the company steers by and assess how business levers impact goals âą Build ETL/ELT transformations and curated datasets for business use cases âą Support migration to dbt âą Help build AI Analyst, an internal MCP enabling stakeholders to self-serve data answers âą Partner with product, marketing, R&D and engineering âą Manage expectations and flag delays early with reasons and revised dates
âą Solid senior-level experience as a data analyst in SaaS âą Experience modelling NDR, expansion, contraction and MRR âą Experience designing, sizing and analysing A/B tests âą Ability to use pre/post or quasi-experimental methods when clean tests are not possible âą Ability to make evidence-based recommendations and communicate confidence clearly âą Expert SQL âą Python for analytical work SQL cannot do âą Comfort with Looker or a close equivalent âą Strong data modelling and analytics engineering experience âą Real dbt experience âą Genuine appetite for AI and current use of AI in workflow âą Generalist range across product, marketing, R&D and revenue questions âą Ability to drive projects autonomously in a lean remote team âą Data science experience, including building ML models and deploying them to production, is a bonus âą Principal or staff-level experience is a bonus
âą 22 days of paid time off, plus your local national holidays âą Flexible work hours and a culture that trusts you to manage your time âą Private medical insurance or a medical allowance (depending on your location) âą Extended paid sick leave âą Career map with growth opportunities âą A quarterly learning budget for courses, books, or anything that helps you grow professionally âą A quarterly wellbeing budget for sport, therapy, or a good novel âą Best hardware for your work (team Apple) âą An award-winning product loved by thousands of customers worldwide âą A transparent, flexible culture with people at the core of everything we do âą Events that are actually fun
Apply Nowđ September 17
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