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# Data Analyst

- **Company:** Consula group ltd
- **Location:** London, United Kingdom
- **Salary:** £45,000 - £47,500
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Warehousing, Database Queries, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Looker Analytics, Data Pipelines
- **Published:** November 12, 2026
- **Apply:** https://www.reed.co.uk/jobs/data-analyst/57561551

## About the Role

* Proven experience in a data analyst or similar insight role.

 * Strong SQL skills and confidence working with large, messy datasets.

 * Experience with a modern BI tool such as Power BI, Tableau or Looker.

 * Advanced Excel skills; exposure to Python or R is advantageous but not essential.

 * Excellent attention to detail, working accurately to tight deadlines.

 * Confident communicator, comfortable presenting to non-technical audiences.

 * A proactive approach - someone who spots patterns early and brings recommendations, not just numbers.

 * London-based or able to commute to the City office regularly.

What You Can Expect

 * Hybrid working with genuine flexibility.

## Description

* Build and maintain dashboards and regular reporting used by senior leadership across the business.

 * Analyse customer, operational and financial data to identify trends, risks and opportunities.

 * Write efficient SQL queries to extract and manipulate data from the company data warehouse.

 * Partner with teams across the business to define KPIs and measure performance against them.

 * Present findings clearly to non-technical stakeholders, turning complex analysis into simple recommendations.

 * Support ad hoc deep-dives into business questions, from pricing to customer retention.

 * Help improve data quality and documentation, flagging issues and proposing fixes.

 * Contribute to the development of the wider analytics function, including tooling and best practice.

 * Mentor and support junior analysts as the team expands.

A Typical Day

You might start the morning checking the overnight data pipelines and reviewing the daily performance dashboard, before joining a stand-up with the insight team to agree priorities. Midday could involve a session with the marketing team to explore campaign performance, followed by an afternoon building a new report in the BI tool or writing SQL for a deep-dive into customer behaviour. Towards the end of the day you might present early findings to a department head or document a new metric definition. No two weeks look the same, and you will have genuine exposure to senior decision-makers.