Build and support data pipelines, data assets, integrations, and models for enterprise analytics. Manage datasets for feature engineering, APIs, and ingestion; implement ETL across platforms; create reusable real-time and analytical data assets; and establish data quality monitoring and alerting. Collaborate with data scientists, data wranglers, and technical teams, with preferred hands-on GCP experience.
Title: Data Analyst
London- 3 Days a week
Job Description:
Mandatory Skills: Data Analysis.
2 x Data Analyst / Engineer:
- 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 %
͏
͏
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