Data Analyst

TXP; Dunstable; On-site; GBP 120,000 - 128,000; Full time

Job summary

TXP is seeking an experienced Data Analyst to join a business-critical Martech transformation project in Dunstable, with 2 days per week onsite. This 3-month contract starts ASAP and offers a daily rate of 478, Inside IR35.

The role involves analyzing, reconciling, and consolidating large-scale customer data across multiple systems to support migration into a new Martech environment. You will write complex SQL, work with Databricks, and ensure data quality and integrity while collaborating with

Qualifications

• Proven experience as a Data Analyst in data-heavy environments.
• Experience with large data sets and data migrations.
• Hands-on with analytics tools and SQL-based data manipulation.

Responsibilities

• 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 creation of a single, accurate customer dataset for migration to Martech platform.
• Develop and execute complex SQL queries to extract, manipulate, validate, and reconcile data.
• Collaborate with business and technical stakeholders to understand data structures and migration requirements.
• Conduct data validation and quality assurance throughout the project lifecycle.
• Produce clear analysis, documentation, and recommendations to support decision-making.
• Support ongoing improvements to data processes and methodologies.

Skills

SQL

Databricks

Data reconciliation

Data analysis

Data quality

Stakeholder communication

Tools

Cloud platforms

Job description

Data Analyst

Location: Dunstable (2 days per week onsite)
Duration: 3 Month Contract
Start Date: ASAP
Rate: 478 per day Inside IR35

Overview

We are seeking an experienced Data Analyst to join a business-critical Martech transformation project. The successful candidate will play a key role in analysing, reconciling, and consolidating large-scale customer data sets across multiple systems to support the migration into a new marketing technology environment.

This is an exciting opportunity for a proactive and technically strong analyst who enjoys solving complex data challenges and working with large volumes of customer data.

Key Responsibilities

• 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 lifecycle.
• Produce clear analysis, documentation, and recommendations to support decision-making.
• Support ongoing improvements to data processes and methodologies.

Essential Skills & Experience

• 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.