Masons Avenue, United Kingdom | Posted on 07/22/2026 We're seeking a Data Analyst to join our small datafunction as we continue our adoption of modern data tools across thebusiness. Following our own acquisition by Anderson Globaland merger with another of their recent acquisitions, we've beenfocusing on systems integration and the migration from legacysystems and manual processes to a modern data toolset. We'reimplementing the pipeline, warehouse and BI tools to introducehigher levels of automation, quality control, governance, andself-service reporting across the business. We're looking to expandthe team to help maintain the pace of those developments. This is an opportunity to work across theimplementation of an entire analytics stack, working closely withteams across the business: with the Engineering team developing ourin-house platform, automating regulatory submissions for Compliance,and improving the efficiency of our Operations teams by providing BItools to automate, and provide insight into, their processes. This would be a great role for someone ready tostep up from a junior position, or for someone from a larger, siloedteam looking to broaden their experience across end-to-end datapipeline tools.
The Role & Responsibilities:
- Handling datarequests: Respond to inbound request tickets from teammembers to help answer questions and maintain dataintegrity.
- dbt contributions: Make contributions to themodels, tests and documentation within the developing dbtproject which manages our data pipeline.
- Business Intelligence development: Developtools and dashboards for teams and managers within our BIplatform (Hex) to provide impactful insight and automatedreporting.
- Regulatory reporting: Support in the generationand automation of required reports for regulatory bodies.
- Operating the data stack tools: Support theimplementation administration of the data team tools: usermanagement, governance, optimisation, adoption of best practicesand new features.
- Ad-hoc investigations and projects: Undertakeinvestigations or projects such as client data migrations, dataquality initiatives, or management reporting.
- Migration from legacy tools and spreadsheets:Support the migration from our legacy systems, and theintegration with other group systems as required.
- Data governance and security: Support indeveloping and maintaining high levels of quality control, datagovernance and business confidence in our data.
Other Expectations
- Cultivate and maintain a client/customercentric culture through the way you work and the service youprovide
- Embrace change and continuously improve thework we do and the way we do it
- Assume ownership of the tasks andresponsibilities you are assigned
- Work closely with and support your colleaguesto collectively achieve success
- Capacity to adjust to changing requirements andpriorities
Requirements The Right Person:
- Solid experience with SQL, Excel.
- Experience with tools and tech used in ourstack: dbt (Cloud), BigQuery, Hex, Fivetran, Postgres, git. (orequivalent)
- Experience delivering impactful dashboards anddata-tools.
- Able to work autonomously, with goodcommunication and stakeholder management skills.
- Strong attention to detail & curiosity.They'll instinctively build strong understandings of systems andproblems, following leads and pulling on threads ininvestigations to appreciate the underlying issues anddata.
- Team-player with a friendly, supportive,positive, can-do attitude
Nice-to-haves:
- Experience of productive use of AI agents:leveraging them to improve your reach and productivity, withoutdiminishing your understanding.
- Experience working in a regulatedindustry.
- Experience working with, developing,or defining data models, schema, metrics and semanticlayers.
- Appreciation of good practices acrossdata protection, security, data privacy.
- Solid experience with SQL, Excel.
- Experience with tools and tech used in ourstack: dbt (Cloud), BigQuery, Hex, Fivetran, Postgres, git. (orequivalent)
- Experience delivering impactful dashboards anddata-tools.
- Able to work autonomously, with goodcommunication and stakeholder management skills.
- Strong attention to detail & curiosity.They'll instinctively build strong understandings of systems andproblems, following leads and pulling on threads ininvestigations to appreciate the underlying issues anddata.
- Team-player with a friendly, supportive,positive, can-do attitude, Experience of productive use of AI agents:leveraging them to improve your reach and productivity, withoutdiminishing your understanding.
- Experience working in a regulatedindustry.
- Experience working with, developing,or defining data models, schema, metrics and semanticlayers.
- Appreciation of good practices acrossdata protection, security, data privacy.