Data Warehouse Analyst

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Job Description

The Data Warehouse Analyst is responsible for the general production support day-to-day for all the data warehouse and data marts.

Key Responsibilities:

  • The day-to-day responsibilities related to this portion of the role include operational support for all ETL processes handling data import and export jobs interfacing with the various BPP systems and applications including Client and HESA Data Marts and all source system data extraction
  • Proactive and reactive monitoring of ETL jobs and analysis of error reporting
  • Provide guidance, assistance, coordination and follow-up on internal data issues through automated monitoring related to data validation and data integrity checking performed at a staging level prior to processing the import into BPP’s Production environment.
  • Use Service Now Incident/Problem/Request/Change Management application to manage the work-load and all related changes per BPP policies and procedures for incident, change and problem management.
  • Create new proactive alerts and summary reports to report on data discrepancies, incomplete file loads, failed back-ups, replication errors or any errors related to the various data warehouse environments.
  • Create and maintain documentation for the data warehouse and other databases including procedures, best practices, user guides, schema, data models, data marts, database instance names.
  • Support out of hour and weekend work required as needed to support production issues, disaster recovery

Location: UK, Home Based, Home and Office Based

Candidate Criteria

  • Qualifications – Degree qualified and relevant professional qualification and experience
  • Experience of working within an IT team, providing 2nd/3rd line technical support of data warehouse and ETL services. Some development experience is beneficial.
  • Training – Formal training in Service Management disciplines (e.g. ITIL)
  • Analytical Thinking – Good at acquiring an understanding of a problem or situation, and developing an approach to interacting with the situation.
  • Strategic Perspective – Needs to keep overall objectives and strategies in mind, and not be deflected by matters of detail.
  • Stress Handling – Retaining objectivity and proper understanding of a problem or situation when placed under conditions of stress.
  • Industry Developments – Must take initiative to ensure technical skills are up to date


  • Broad technical understanding of Informatica, Talend, Datanomics and common operational issues.
  • Knowledge of relational databases (Oracle/MS SQL Server)
  • Knowledge of non-relational database (NoSQL or Graph DB knowledge will be beneficial but not essential) technologies
  • Confident in command line Red Hat Linux environment (essential)
  • Familiar with ETL development tools and ability to read and understand complex SQL queries. Familiar with methods and techniques for structured reviews.

The successful candidate will be required to undergo a basic DBS check.