Role: Data Analyst / Data Engineer – MRO AI Solutions (Embedded in BA)
Location: Waterside, Heathrow (Hybrid work and Travel to Europe occasionally)
We at Coforge are looking for Data Analyst / Data Engineer in Waterside, Heathrow.
Role Purpose
The Data Engineer / Data Analyst will design, build, and maintain robust data pipelines and architectures to enable AI-driven solutions for BA, ensuring frameworks can scale across all OpCos. This role demands consultancy-level technical depth combined with strong delivery discipline.
Key Responsibilities
* Discover, connect to, and process data from various sources: relational databases, flat files (CSV, XML, XLS), etc.
* Identify and remediate data quality and completeness issues.
* Challenge data provenance and assumptions in legacy datasets compared to current needs.
* Translate business needs for data presentation and narrative into non-technical KPIs, charts, and dashboards.
* Create metadata and documentation for all derived outputs.
* Collaborate with Data Scientists and Visualisation specialists to enable advanced analytics.
* Support integration of MRO AI solutions into BA operational workflows.
* Develop and optimize data pipelines for ingestion, transformation, and storage.
* Ensure data quality, integrity, and security across systems.
* Implement best practices for scalability and performance in cloud environments.
* Design data architectures and pipelines that support multi-OpCo deployment, ensuring modularity and interoperability.
Required Skills & Experience
* Experience in data/business analysis in a product setting
* Strong skills in data visualisation (Power BI, Tableau, and/or other dashboarding tools)
* Strong experience in data processing workflows/tools (SQL, Pandas, etc.)
* Proven ability to understand legacy datasets/pipelines and to evaluate their fitness for new use cases
* Comfortable working independently and communicating with non-technical stakeholders
* Strong knowledge of data modeling and API integration
* Proven experience in developing, testing, and deploying data solutions into production environments, ensuring reliability, scalability, and maintainability beyond proof-of-concept or prototype stages
* (Preferred) Expertise in Python, SQL, and modern ETL frameworks
* (Preferred) Hands-on experience with cloud platforms (AWS preferred)
* Familiarity with airline or logistics data domains is a plus
* Significant experience in similar roles, with a proven ability to integrate quickly into
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