Data Analyst

London Construction Jobs
Charing Cross, United Kingdom
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 49K

Job location

Charing Cross, United Kingdom

Tech stack

API
Data Auditing
Data Validation
Data Governance
Data Integrity
Data Streaming
Core Data
Performance Monitor
Api Management

Job description

As a Data Analyst within London CIV the role holder will conduct data reconciliation and validation activities, ensuring that inbound data flows from suppliers such as our Custodian, Partner Funds & Fund Managers are received in a timely manner and that the data integrity is to the required standard. The role holder will sit at the centre of Investment, Operations and Technology workflows, ensuring that high-quality data underpins portfolio management, reporting, NAV calculations and wider organisational decision-making.

Data Flow

  • Validate that time critical data feeds are received within the correct timeframe and that the data supplied meets the requirements of the Investment and Operations teams.
  • Monitor inbound data flows from the Custodian, Partner Funds and Fund Managers, identifying delays, data breaks, or anomalies and ensuring swift resolution.
  • Maintain oversight of data dependencies across the investment lifecycle, escalating risks or delays that may impact performance reporting, NAV calculations, or downstream processes.

Supplier Management

  • Engage with data suppliers to resolve any issues with the provision or quality of their feeds.
  • Build strong working relationships with internal Investment, Operations, and Technology teams to align data requirements, share insights, and proactively identify areas for data quality improvement.
  • Communicate data risks, trends, and rootcause issues clearly to stakeholders at varying levels of technical understanding.

Data Quality Assurance & Issue Resolution

  • Perform detailed data validation, integrity checks and exception investigation, ensuring discrepancies are analysed, documented, and resolved in a timely manner.
  • Take ownership of recurring data issues by driving rootcause analysis, working with service providers and internal teams to implement preventive solutions.
  • Support the development and embedding of data quality metrics, dashboards, and KPIs to provide visibility of data health across the organisation.

Support the Establishment of a New Data Function

  • Contribute to designing and shaping core data management processes as part of the organisation's new data capability, ensuring they are scalable, repeatable, and aligned with best practice.
  • Provide practical input into workflows, documentation, and controls that reduce operational burden for Investment and Operations teams.
  • Support the definition and evolution of a data quality framework, including opportunities to introduce tooling such as Microsoft Purview and Azure API Management.

CrossTeam Collaboration & Governance

  • Collaborate closely with Investment teams to ensure data processes support their analytical, reporting and portfolio management needs.
  • Bring a proactive, deliveryfocused mindset, working independently on daytoday responsibilities while seeking guidance where needed.

Requirements

  • Experience working in an investment manager environment, with a strong understanding of investment and operations data.
  • Hands-on experience with data quality checks, reconciliations, and investigation of data breaks.
  • Ability to own and resolve data issues with service providers and external data sources.
  • Clear understanding of how data quality impacts Performance/NAV, reporting, and investment outcomes.
  • Practical, delivery-focused mindset, able to reduce operational burden and help establish a new data function.

Desirable

  • Implementation of data quality frameworks using Microsoft Purview.
  • Understanding of data quality principles and governance.
  • Experience with Microsoft Purview, Azure API Management.
  • Monitor and report on data quality KPIs.
  • Develop APIs using Azure API Management.

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