Data Quality Analyst

Loop Recruitment

Manchester

Hybrid

GBP 42,000 - 64,000

Full time

7 hours ago
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Job summary

Loop Recruitment is seeking a Data Gov Analyst to join a six-person data team in Manchester on a hybrid basis. You will help shape how data governance is applied day to day, growing your expertise while contributing to a brand-new Manchester office.

You'll trace data lineage, build shared definitions, and partner with senior stakeholders to embed best practices. Strong Excel/SQL, with Python/Databricks/Power BI exposure, is highly valued.

Qualifications

  • A genuinely detail-orientated, analytical mindset.
  • Confidence with Excel and SQL as standard; exposure to Python, Databricks, or Power BI is a strong plus.
  • Strong communication and stakeholder skills — you'll be a business partner from day one, across the organization.
  • Background in financial services or insurance is preferred, but openness to sector is noted.

Responsibilities

  • Trace data back to its source and document lineage, closing gaps where missing.
  • Help build and maintain a central set of business definitions for a single data understanding.
  • Partner with senior managers and department heads to embed good data practices.
  • Hands-on data analysis using Excel, SQL, Python; use Databricks and Power BI; learn quickly.
  • Prioritize and manage workload within a large organization, triaging tasks effectively.

Skills

Detail-oriented
Analytical mindset
Stakeholder communication

Tools

Excel
SQL
Databricks
Power BI
Python

Job description

Data Gov Analyst | Insurance | Manchester (Hybrid)

Tech: SQL | Excel | Data Quality Tools | Power BI | Databricks | Insurance Data

We're helping a well-established financial services organisation build out a brand-new Manchester office, and we're looking for a Data Gov Analyst to join a close-knit, six-person data team right at the ground floor of that growth.

This isn't a role where you'll be handed a finished data governance strategy and told to run it — the framework already exists, but there's genuine scope to shape how it's applied day to day, and to build your own expertise in data governance as you go. If you're detail-orientated, driven, and want to grow into a career in data governance rather than arrive as a finished expert, this one's designed for you.

What you'll be doing

  • Tracing data back to its source — understanding where it comes from, how (or whether) it's documented, and closing the gaps where it isn't
  • Helping build and maintain a central set of business definitions, so the wider organisation is working from one shared understanding of its data
  • Partnering closely with stakeholders across the business — including senior managers and heads of department — to embed good data practices into everyday ways of working
  • Getting hands-on with data analysis (Excel, SQL, Python) and modern data tooling (Databricks, Power BI) — you don't need to be an expert in these on day one, but you do need to be comfortable learning fast
  • Prioritising and managing your own workload within a large organisation, where there's naturally more good work to do than time to do it — being able to triage and focus matters here

What we're looking for

  • A genuinely detail-orientated, analytical mindset
  • Confidence with Excel and SQL as standard; exposure to Python, Databricks, or Power BI is a strong plus, though we care more about your appetite to pick up new tools than what you already know
  • Strong communication and stakeholder skills — you'll be a business partner from day one, working across the organisation rather than sitting behind a screen
  • A background in financial services or insurance is preferred, but we're open-minded on the specific sector

The team & the opportunity

You'll join a six-person data team as part of an exciting build-out of the organisation's Manchester office, reporting in ultimately to a Group Chief Data Officer who is investing seriously in this function. There's real room here to grow — both the role and your own career — as the team and the office scale.

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