Product Analyst

Job Description

Your mission

We’re on a mission to make the world's videos watchable in any languagePapercup uses AI to dub videos into other languages using the most human-sounding synthetic voices you've ever heard. Leaders in entertainment, news, and enterprise, such as Jamie Oliver, Business Insider and Bloomberg, use Papercup daily to leap language barriers and engage more deeply with their international audiences.

Last year alone, over 350 million people watched videos translated by Papercup. But this is just the start - billions of hours of video are stuck in a single language - our technology will fundamentally change that and make videos watchable in any language.

We’re more than just an AI startup - we also care deeply about our people. We want people to feel fulfilled, rewarded and genuinely happy at Papercup. That’s why creating and fostering the right culture matters to us and why we’re committed to building a company that people are proud to work for.

If you want to work on a game-changing technology and you care about working with a fun, smart and humble team, we’d love to hear from you.

Your profile

In this role, you will serve as the analytical backbone of our product teams, interfacing with developers, data engineers, and cross-functional stakeholders to ensure our data is leveraged to its fullest potential. Your expertise will not only shape the development of new features but also bolster the decision-making processes within Machine Learning, Finance, and Operations domains.

Key Responsibilities:

• Collaborate closely with developers and data engineers to evaluate the utility of data for analytics in the context of new feature deployment.
• Maintain up-to-date knowledge of data model transformations and progressions.
• Design and construct detailed reports to support the needs of cross-functional teams, including Product, Machine Learning (ML), Finance, and Operations.
• Develop tailored analyses for diverse applications across various company functions.

Essential Skills and Qualifications:

• Strong SQL expertise, capable of complex query development and database management.
• Demonstrable experience in data cleaning, manipulation, visualisation, and reporting.
• Prior experience with data visualisation tools (e.g., Metabase, Looker)
• Rigorous attention to detail and a commitment to QA in evaluating both your work and that of fellow team members.
• Knowledge of statistics principles necessary to interpret data and apply models. For example, knowledge of errors and confidence intervals to understand whether a relation seen in the data is spurious or significant.

Nice to have:

• Python coding, particularly in the realms of automation and system integrations.
• History of working within product teams, contributing to the product development lifecycle.
• Familiarity with data lake (BigQuery) solutions.
• ETL/ELT knowledge, experience with DAGs to manage script dependencies.
• Knowledge of NoSQL databases.
• NLP: Misspellings, Suggestions, Word Embeddings, Cross-lingual Embeddings, Named Entity Recognition, Dependency Parsing, Part-of-speech tagging, Information Retrieval, Deep Information Retrieval, Query Expansion, Product Enrichment.

Why us?

Apart from all this good stuff, what else do we offer?

• Competitive salary of £60,000 - £75,000 depending on experience
• Unlimited vacation policy
• Hybrid working: flex between WFH and time in our Aldgate office (2 days per week)
• Private medical cover or monthly wellness bonus
• Learning budget and 'reading week' to carve out time to up skill in your domain
• The usual food and fun perks: snacks, beer fridge regular team socials, annual offsite