Data Analyst

TXP
Dunstable, UK
8 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
£124,280.0
Working hours
Regular working hours

Tech stack

Data Analysis Big Data Cloud Engineering Databases Customer Data Management Data Validation Data Migration Data Structures Freeform SQL Sql Optimization Data Management Databricks

Job description

  • Perform detailed analysis and reconciliation of customer data across multiple source systems.
  • Work with large-scale datasets (40M+ records) to identify discrepancies, data quality issues, and opportunities for consolidation.
  • Support the creation of a single, accurate, and trusted customer dataset for migration into a new Martech platform.
  • Develop and execute complex SQL queries to extract, manipulate, validate, and reconcile data.
  • Collaborate closely with business and technical stakeholders to understand data structures, mappings, and migration requirements.
  • Conduct data validation and quality assurance activities throughout the project life cycle.
  • Produce clear analysis, documentation, and recommendations to support decision-making.
  • Support ongoing improvements to data processes and methodologies.

Requirements

  • Strong commercial experience as a Data Analyst.
  • Advanced SQL skills with the ability to work on complex data analysis and reconciliation tasks.
  • Hands-on experience with Databricks.
  • Experience working with modern cloud-based databases and data platforms.
  • Proven track record of analysing and managing large and complex datasets.
  • Strong data quality, validation, and reconciliation experience.
  • Excellent analytical and problem-solving skills.
  • Strong communication skills with the ability to engage both technical and non-technical stakeholders.

Desirable Skills & Experience

  • Experience working on Martech, CRM, Customer Data Platform (CDP), or customer data migration projects.
  • Understanding of customer data management and customer journeys.
  • Experience within customer-focused or consumer-facing environments.
  • Exposure to data migration and transformation programmes.

Apply for this position

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