Data Analyst

Zohorecruit; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Zohorecruit in London is seeking a data engineer to help shape our data platform stack and analytics capabilities. You will design, build and maintain scalable data pipelines, enable enterprise analytics, and advance data assets for querying and feature engineering.

Collaborate with data scientists and wranglers, ensure data quality and security, and document architectures while progressing real-time and batch processing capabilities. On-site in Greater London with opportunities for growth.

Responsibilities

• 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

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
  

Deliver

No.

Performance Parameter

Measure

• 1.
• Demand generation
• Order booking
• 2.
• Revenue generation through delivery
• Timeliness, customer success stories, customer use cases
• 3.
• Capability Building & Team Management
• % trained on new skills, Team attrition %