> Markdown version of [/jobs/ext/3947054-data-analyst](https://www.wearedevelopers.com/jobs/ext/3947054-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** Morson Group - **Location:** London, UK - **Salary:** £50,000.0 - £52,000.0 - **Contract:** Permanent contract - **Skills:** JIRA, DevOps, Github, Apache Hive - **Published:** October 27, 2026 - **Apply:** https://www.morson.com/jobs/41848/apply ## About the Role Extensive experience in data analysis using python, especially using libraries such as Pandas and NumPy Relevant experience with Power BI or similar tools such as Tableau or Qlik for data storytelling, data visualisation and reporting Strong programming skills in SQL or Spark SQL Strong numeracy and statistical modelling expertise Familiarity with DevOps, JIRA and GitHub tools ## Description Data Analyst - Permanent role - £50-£52000 + Benefits - London Core Duties of the role: Using a variety of analytical techniques, turn data into clear, strategic recommendations for the organisation and leadership * Create automated dashboards (Power BI, AI/BI (Databricks)) that enable stakeholders to reliably monitor KPIs * Produce root Cause Analysis, identifying the _why_ behind business performance fluctuations * Design and evaluate A/B tests or pilots and quantify impact of new initiatives, service changes, or communications * Create a backlog of analytics improvements and prioritise work with organisational teams based on impact and effort * Create automated reports by developing scripts or workflows that reduce manual reporting time * Support the Data and Governance team with data Quality Assurance tasks and initiatives, identifying, fixing, and monitoring data errors to maintain a _single source of truth_ * Create and deploy predictive models and forecasts by using data to forecast future trends or member behaviour * Support the successful delivery of data products to teams across the organisation alongside product teams * Support The organisation with the use of data, data products, and interpreting insights to support data literacy across the organisation.