Data Analyst

Test Triangle Limited; Greater London; Hybrid; GBP 42,000 - 54,000; Part time

Job summary

Test Triangle Limited in London is seeking a Data Analyst to help design and optimize data platforms, ingestion pipelines, and analytics assets. You will work on securing data movement from source to target, enable enterprise querying, and support feature engineering for APIs and real-time analytics.

The role emphasizes collaboration with data scientists and engineers, data quality checks, and hands-on data tooling across platforms.

Qualifications

• Experience with data analysis techniques and tools.
• Experience as Data Analyst or Data Engineer.

Responsibilities

• Design, build and support data pipelines to acquire, aggregate, refine and securely move data from source to target.
• Develop and maintain data assets to enable enterprise querying and analytics.
• Manage datasets to support feature engineering, APIs and ingestion processes.
• Build, publish and maintain reusable data assets for real-time and analytical consumption.
• Design, implement and document data architecture and data models (conceptual / logical / physical).
• Implement data integration using ETL and other data tools across databases, systems and platforms - preferably hands on GCP experience.
• Set up data quality checks, monitoring and alerting for analytics data flows.
• Collaborate with data wranglers, data scientists and technical / development teams.

Skills

Data Analysis

Data Analyst / Engineer

Job description

Title: Data Analyst

London - 3 Days a week

Job Description

• Provide technical input on data platforms / consumption engines and emerging technologies to enhance analytics and derived datasets
• Design, build and support data pipelines to acquire, aggregate, refine and securely move data from source to target
• Develop and maintain data assets to enable enterprise querying and analytics.
• Manage datasets to support feature engineering, APIs and ingestion processes
• Build, publish and maintain reusable data assets for real-time and analytical consumption
• Design, implement and document data architecture and data models (conceptual / logical / physical)
• Implement data integration using ETL and other data tools across databases, systems and platforms - preferably hands on GCP experience
• Set up data quality checks, monitoring and alerting for analytics data flows
• Collaborate with data wranglers, data scientists and technical / development teams

Mandatory Skills

Data Analysis.

2 x Data Analyst / Engineer

Performance Parameter

Measure

• Demand generation
• Order booking
• Revenue generation through delivery
• Timeliness, customer success stories, customer use cases
• Capability Building & Team Management
• % trained on new skills, Team attrition %