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Product Data Analyst

JR United Kingdom

Hemel Hempstead

Hybrid

GBP 35,000 - 50,000

Full time

9 days ago

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Job summary

A leading AI startup in London seeks a versatile Product Data Analyst. This role supports analytics needs across data engineering, model evaluation, and collaboration with the Customer Success team. You will work with cutting-edge computer vision technologies, contributing to product improvements and customer impact, in a fast-paced environment offering significant growth potential.

Benefits

Flexible hours
Mentorship from engineering leads
Unlimited Coursera subscription
Competitive salaries with 6 month reviews
Equity
Pension scheme
30 days holiday

Qualifications

  • Proficiency in SQL (BigQuery, PostgreSQL) and Python programming.
  • Experience with big data systems and working with machine learning teams.
  • Strong communication skills and collaborative mindset.

Responsibilities

  • Analyze model prediction data, identify patterns, and recommend training improvements.
  • Create and maintain Grafana dashboards for performance metrics.
  • Support Customer Success team with data-driven solutions.

Skills

SQL
Python
Data Visualization
Collaboration
Communication

Tools

Google Cloud Platform
Grafana
BigQuery
Apache Hive

Job description

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Captur is an established B2B AI startup based in London, backed by top VCs, InnovateUK, and Google for Startups.

We are looking for a versatile Product Data Analyst to support our computer vision startup's analytics needs. In this role, you'll work across data engineering, analysis and model performance evaluation while collaborating directly with our Customer Success team.

Job Description

Captur is an established B2B AI startup based in London, backed by top VCs, InnovateUK, and Google for Startups.

We are looking for a versatile Product Data Analyst to support our computer vision startup's analytics needs. In this role, you'll work across data engineering, analysis and model performance evaluation while collaborating directly with our Customer Success team.

Key Duties and Responsibilities
  • Analyse frame-by-frame model prediction data from our mobile SDKs (iOS and Android)
  • Investigate model performance issues using detailed session records
  • Owning the data labelling process (interfacing with the labelling team, running calibrations & analysing labelling trends)
  • Empower and support continuous improvement for our labelling team, processes and technologies
  • Identify patterns in model performance and recommend specific areas for improvement in training
  • Design and implement BigQuery tables and schemas for efficient data storage & analysis
  • Act as a champion for model explainability, gathering and sharing insights from existing images, running experiments with new data sources and answering client queries about model performance with data-driven insights
  • Create and maintain Grafana dashboards to visualise key performance metrics
  • Support the Customer Success team with data-driven solutions
Required Qualifications
  • SQL (BigQuery and PostgreSQL) proficiency and Python programming skills
  • Experience with Google Cloud Platform
  • Experience with big data warehouse systems (Google BigQuery, Apache Hive, etc)
  • Hands on experience working with machine learning teams; understanding of the core concepts of model evaluation techniques and metrics, and suitable choices of their usage
  • Experience working with data visualisation tools, particularly Grafana
  • Strong communication skills for client-facing interactions
  • Collaborative mindset for cross-functional work
Nice to Have
  • Experience with image based machine learning
  • Experience with AI/ML deployment workflows
  • Experience communicating with non-technical stakeholders (client and internal)
  • Startup experience

This position offers significant growth potential in a fast-paced environment where you'll work with cutting-edge computer vision technology and directly impact our product and customer success.

Company Benefits
  • Flexible hours & hybrid working in London
  • Mentorship from world class engineering leads (see company advisors)
  • International, diverse team
  • Unlimited Coursera subscription
  • Competitive salaries with 6 month salary reviews
  • Equity
  • Pension scheme
  • 30 days holiday (including public and holidays)

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