

Lorien
Pension Data Analyst / Pension Admin
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Pension Data Analyst/Pension Admin on a 6-month contract, hybrid location, paying "pay rate." Requires strong data analytic skills, DB/DC experience, advanced Excel, and familiarity with BI tools like Power BI or Tableau.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
Unknown
-
ποΈ - Date
April 25, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
Inside IR35
-
π - Security
Unknown
-
π - Location detailed
London Area, United Kingdom
-
π§ - Skills detailed
#Tableau #Automation #Documentation #Microsoft Power BI #BI (Business Intelligence) #Data Analysis #Data Quality #Data Governance #Datasets
Role description
Pension Data Analyst / Pensions Admin - Insurance
We are recruiting for a Pensions Data Analyst / Pensions Admin with strong Data Analytic skills and DB/DC experience to join one of our Insurance clients on a 6-month contract.
Inside IR35 - Hybrid
Responsibilities:
β’ Analyse large and complex datasets from multiple sources to identify trends, risks, anomalies and opportunities.
β’ Perform data validation and quality checks, investigating discrepancies and ensuring accuracy prior to reporting.
β’ Apply analytical techniques to support regulatory reporting and client deliverables.
β’ Produce regular and ad hoc management information (MI) in line with the data governance framework.
β’ Translate complex data findings into clear, nonβtechnical insights for internal stakeholders.
β’ Support data governance activities, including documentation of data sources, definitions and reporting logic, ensuring robust audit trails.
β’ Ensure data handling and reporting practices comply with internal policies and procedures.
β’ Contribute to the continuous improvement of data processes, controls and reporting automation.
Skills & Experience
β’ Strong experience in data analysis and reporting.
β’ Proven ability to work with large datasets and produce accurate, insightful reports.
β’ Advanced Excel skills.
β’ Experience supporting regulatory, client or governance reporting.
β’ Knowledge of data governance, data quality frameworks or MI standardisation.
β’ Experience using BI/reporting tools such as Power BI, Tableau or similar.
β’ Defined Contributions/ Defined Benefit experience
If this role is of interest and would like to know more, please apply now!
Pension Data Analyst / Pensions Admin - Insurance
We are recruiting for a Pensions Data Analyst / Pensions Admin with strong Data Analytic skills and DB/DC experience to join one of our Insurance clients on a 6-month contract.
Inside IR35 - Hybrid
Responsibilities:
β’ Analyse large and complex datasets from multiple sources to identify trends, risks, anomalies and opportunities.
β’ Perform data validation and quality checks, investigating discrepancies and ensuring accuracy prior to reporting.
β’ Apply analytical techniques to support regulatory reporting and client deliverables.
β’ Produce regular and ad hoc management information (MI) in line with the data governance framework.
β’ Translate complex data findings into clear, nonβtechnical insights for internal stakeholders.
β’ Support data governance activities, including documentation of data sources, definitions and reporting logic, ensuring robust audit trails.
β’ Ensure data handling and reporting practices comply with internal policies and procedures.
β’ Contribute to the continuous improvement of data processes, controls and reporting automation.
Skills & Experience
β’ Strong experience in data analysis and reporting.
β’ Proven ability to work with large datasets and produce accurate, insightful reports.
β’ Advanced Excel skills.
β’ Experience supporting regulatory, client or governance reporting.
β’ Knowledge of data governance, data quality frameworks or MI standardisation.
β’ Experience using BI/reporting tools such as Power BI, Tableau or similar.
β’ Defined Contributions/ Defined Benefit experience
If this role is of interest and would like to know more, please apply now!






