At a Glance
- Tasks: Join our team to optimise e-commerce visibility and performance through data-driven insights.
- Company: Constructor, a leading AI-first search and product discovery platform.
- Benefits: Enjoy unlimited vacation, remote work, and a training budget for personal growth.
- Other info: Diverse and inclusive workplace with excellent career development opportunities.
- Why this job: Make a real impact in e-commerce while working with cutting-edge technology and smart people.
- Qualifications: Strong SQL and Python skills, experience with APIs, and a passion for data integration.
The predicted salary is between 40500 - 49500 £ per year.
Join to apply for the Analytics Engineer : SEO / GEO role at Constructor. This range is provided by Constructor. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base Pay Range $80,000.00/yr - $120,000.00/yr.
About Us
Constructor is the only search and product discovery platform tailor‑made for enterprise e‑commerce where conversions matter. Our AI‑first solutions make it easier for shoppers to discover products they want to buy and for e‑commerce teams to deliver highly personalized experiences that drive impressive results. Optimizing specifically for e‑commerce metrics such as revenue, conversion rate and profit, we generate consistent $10M+ lifts for some of the biggest brands, including Sephora, Petco, Home24, Maxeda Brands, Birkenstock and The Very Group. Founded in 2015, we are a U.S.‑based company that handles billions of requests daily and manages a vast data ecosystem, including roughly 400 GB of data intake daily and approximately 2 PB stored in our data lake.
SEO/GEO Team
The team’s mission is to bridge the gap between onsite product discovery and external discovery platforms, ensuring Constructor‑powered websites can be found, understood and correctly represented by both Google and generative engines. The team goal is to:
- Build measurable foundations to track visibility, traffic sources and performance across SEO and GEO
- Build the architecture to run technical checkups on customer websites, assess their optimisation level, and provide clear recommendations on what needs to be fixed
- Partner with Product teams to adapt enriched content for SEO/GEO and package it toward external discoverability needs
- Define an SEO/GEO enablement layer with tools, playbooks and frameworks to scale best practices across teams and customers
Challenges You Will Tackle
- Complete visibility of the product discovery from external sources
- Accurate measurement of organic, branded and AI‑driven traffic
- Create a unified model of landing pages
- Framework for future SEO experiments (canonical tests, template variations, structured data tests)
- Internal tools that other teams can plug into
- Run the adoption process of best practices to other teams
Requirements
- Strong SQL and Python (requests, pandas, numpy, etc.)
- Experience building data integrations between products
- Experience with APIs & authentication (OAuth2, GA4 and Google Search Analytics API)
- Understanding of ETL/ELT workflows on PySpark
- Building logic of data extraction from non‑structured data (referrers, canonical URLs, page types)
Nice to Have
- Experience with BigQuery or similar
- JS execution basics (how SSR/CSR affects crawlers)
- Knowledge of SEO fundamentals
- Experience with BI systems (Looker/Metabase/Superset)
- Experience with logs or event handling systems
Benefits
- Unlimited vacation time – we strongly encourage all employees to take at least 3 weeks per year
- Fully remote team – choose where you live
- Work from home stipend – we want you to have the resources you need to set up your home office
- Apple laptops provided for new employees
- Training and development budget for every employee, refreshed each year
- Maternity & Paternity leave for qualified employees
- Work with smart people who will help you grow and make a meaningful impact
- Base salary range between $80k and $120k USD – offer varies based on knowledge, skills, experience and interview results
- Regular team off‑sites to connect and collaborate
Diversity, Equity, and Inclusion at Constructor
At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of education, disability, age, veteran status or any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
Seniority Level: Entry level
Employment Type: Full‑time
Job Function: Other
Industries: IT Services and IT Consulting
Analytics Engineer : SEO / GEO employer: Constructor
Constructor is an exceptional employer that fosters a dynamic and inclusive work culture, prioritising empathy, curiosity, and continuous improvement. As a Regional Manager in Customer Success, you will have the opportunity to lead a passionate, remote-first team while driving meaningful customer outcomes across the EMEA region. With a strong focus on employee growth through training and development, along with a competitive leave package and stock options, Constructor empowers its employees to thrive in a fast-paced, innovative environment.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer : SEO / GEO
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We think you need these skills to ace Analytics Engineer : SEO / GEO
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Constructor. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Constructor
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
