Data Analyst

4 weeks ago


Edinburgh, Edinburgh, United Kingdom Hymans Robertson Full time
About the Role

We are seeking a talented Data Analyst to join our Data Journey team within our Third-Party Administration area. As a key member of our team, you will play a crucial role in building a modern data platform, serving our current customer needs, and driving business growth.

Key Responsibilities
  • Identify, investigate, and resolve data issues, discrepancies, and risks within new or existing datasets to ensure data completeness and consistency.
  • Develop reports and extracts for key stakeholders in on-premise and cloud-hosted data stores.
  • Collaborate with the Data Engineering team to analyse and develop robust data models and pipelines to support analytics, reporting, and visualisations from our Data Lakehouse.
  • Work alongside technical and non-technical teams to understand user requirements and bridge the gap between stakeholders.
  • Stay up-to-date with the latest developments in data tooling and promote best practices to the wider business.
About You

We are looking for a self-motivated individual with a drive to learn and share knowledge. You will be comfortable working as part of a team and have the initiative to explore solutions on your own. In our growing data team, you will have the opportunity to build robust data and reporting solutions that can be accessed using technologies suited for the specified audience.

To succeed in this role, you will have experience working with large volumes of data, both time series and numeric data, and be familiar with SQL database technologies, scripting, and data manipulation. You will also be an effective communicator and team player, able to forge strong and professional relationships.

Desirable Skills
  • Domain knowledge of the pensions industry would be beneficial, but most importantly, a passion to learn.
  • Experience or familiarity with coding in R, Python, or other data modelling/analysis technologies, PowerBI for reporting and visualisations, data modelling for downstream extraction or consumption, and data lakes for data storage.
  • Familiarity with continuous integration, continuous delivery, agile methodologies, and Azure DevOps.

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