Data Manager (12 month FTC)

Data Manager (12m FTC)

Sheffield (2 days onsite, 3 home working)

Up to £47,500 + Benefits

Your new role

The role owns all data for a specific asset class - collecting, validating, cleansing, and transforming it into reliable insight. As the single point of accountability, the post holder ensures accurate, timely data for analysis and high-level reporting. They act as the data expert across diverse investment partners, lead the use and development of the enterprise data warehouse, and manage the loading and validation of raw data from multiple sources. The role delivers the analytical foundation for a wide range of internal and external reporting needs.

Responsibilities

Oversee end-to-end transport, validation, transformation, and loading of raw data from internal and external sources.

Manage the full data-load process into the enterprise data warehouse.

Coordinate analysts to ensure all data preparation is accurate, timely, and completed to required standards.

Provide reliable analytical datasets for product, strategy, and risk teams.

Maintain up-to-date tracking of data received from delivery partners and resolve any issues quickly.

Ensure secure handling of all source data, including appropriate anonymisation.

Act as the organisation's expert on all analytical data, maintaining detailed knowledge of data attributes and product structures.

Define and run robust technical data-quality checks, and train analysts to apply them consistently.

Reconcile financial data with finance records and improve automated quality checks.

Validate and standardise investment data from internal and external sources and prepare templates for warehouse uploads.

Populate and refresh enterprise data warehouse datasets to agreed schedules.

Identify and diagnose data-quality issues, recommending solutions.

Define new data requirements for new partners, product types, and initiatives, aligning them with existing data structures.

Test, document, and improve data-cleansing and transformation processes.

Specify analytical datasets to support strategic, regulatory, and business-critical reporting.

Contribute to BI architecture development and adoption of new tools.

Agree data-provision processes with new partners and initiatives.

Experience needed

Essential to have excellent experience of reporting and data manipulation via Power BI, PowerQuery and DAX.

A sound technical understanding of database design, including conceptual, logical, and physical data models.

Constructing queries and data sets under a controlled development methodology

Monitoring and measurement of data quality

Handling and validating financial data with precision

Understanding of data visualisation best practice with evidence of implementation

Experience of the Microsoft Analytics & Power technology stack including Microsoft Fabric and Azure

Basic understanding of data science principles such as machine learning, cluster analysis etc. as well as generative AI, NLP etc.

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