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Data QA Manager

  • Source: LinkedIn
  • Cornwallis Elt
  • On-site
  • London
  • Full-Time
  • Senior

Job Description

Data QA Manager – Audit, Python, SQL, Tableau, Data Assurance, Analytics, Risk Management, Planning – Financial Services – Permanent – Up to £67,000 Base + Bonus

My client, a leading Financial Services consultancy, is seeking an experienced Data QA Manager to join its London-based office on a permanent basis.

As a Data QA Manager, You will lead data quality assurance engagements across a diverse portfolio of Audit & Assurance clients, managing small, high-performing teams to understand and assess clients’ data environments, execute data quality testing using established assurance frameworks, and deliver actionable insights. You will also develop clear and compelling Tableau dashboards and visualisations that communicate findings, business risks, and opportunities to stakeholders.

In addition, you will take ownership of engagement delivery, including scoping, planning, budgeting, resource management, risk management, and ensuring projects are delivered on time and within budget. You will build trusted relationships with clients by leading meetings, presenting findings, and managing senior stakeholders throughout the engagement lifecycle. The successful candidate will also have hands-on experience in Data Assurance, leveraging Python and SQL to automate testing and enhance analytics capabilities.

Skills required:

  • A bachelor’s degree (or equivalent) in a quantitative discipline such as Mathematics, Statistics, Computer Science, Physics, Engineering, Accounting, or Finance.
  • Proven experience working within an analytics, data assurance, modelling, or audit technology function in the Financial Services sector, either within a professional services firm or a FTSE 350 organisation.
  • Demonstrable experience leading Data Assurance, analytics, or audit technology engagements, managing multiple projects and teams while working to demanding reporting deadlines.
  • Advanced Python skills, including experience developing automated data quality tests, reviewing code, and communicating technical findings to both technical and non-technical audiences.
  • Hands-on experience designing Tableau dashboards and visualisations to communicate data quality findings, business risks, and analytical insights.
  • Working knowledge of SQL and experience querying large and complex datasets.

This is an exciting opportunity to lead innovative data assurance engagements for a portfolio of high-profile Audit & Assurance clients, helping organisations build confidence in the quality, integrity, and reliability of their critical data.

Skills

  • Python
  • Tableau

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