Pensions Data Quality Analyst — Hybrid/Remote 3x/Week

Abenefit2u Limited; Greater London; Hybrid; GBP 32,000 - 52,000; Full time

Benefits offered by this job

Flexible working

Career development opportunities

Employee benefits

Job summary

Abenefit2u Limited in London seeks a detail-oriented Data Quality & Cleansing Analyst to ensure accuracy and integrity of pension scheme data. You will cleanse member data, resolve inconsistencies, and drive quality improvements across the scheme.

The role focuses on analysing large datasets, adhering to regulatory requirements, and collaborating with internal teams and external partners. A flexible hybrid work model with occasional office presence is available.

Qualifications

• Strong analytical skills with a focus on data quality and accuracy.
• Advanced Excel skills are essential.
• Knowledge of SQL would be ideal.
• Experience working with large datasets and data cleansing activities.
• Good understanding of regulatory requirements in pensions.
• At least two years of experience in a similar pensions role.

Responsibilities

• Ensure high standards of data accuracy, quality, and completeness
• Analyse, cleanse, and standardise large datasets to remove errors and inconsistencies
• Maintain and update databases to ensure data is current and reliable
• Identify data gaps and work with stakeholders to obtain missing or correct information
• Perform bulk data updates and corrections
• Conduct data quality assessments and produce regular analysis reports
• Collaborate with internal teams and external partners to support data improvement initiatives
• Follow established processes, project plans, and regulatory recordkeeping guidelines
• Investigate data issues proactively and recommend effective solutions

Skills

Analytical skills

Advanced Excel

SQL knowledge

Data cleansing

Pensions regulatory knowledge

Attention to detail

Stakeholder management

Communication

Job description

Abenefit2u Limited in London seeks a detail-oriented Data Quality & Cleansing Analyst to ensure accuracy and integrity of pension scheme data. You will cleanse member data, resolve inconsistencies, and drive quality improvements across the scheme.

The role focuses on analysing large datasets, adhering to regulatory requirements, and collaborating with internal teams and external partners. A flexible hybrid work model with occasional office presence is available.