Data Analyst

7 days ago


Glasgow, Glasgow City, United Kingdom Hymans Robertson Full time

About Hymans Robertson

Hymans Robertson is a leading actuarial and consulting firm that helps organizations navigate complex business challenges. As a Data Analyst, you will be part of our Data Journey team, working closely with our Third-Party Administration area to drive business growth and improvement.

The Role

We are seeking a highly skilled Data Analyst to join our team. As a key member of our Data Engineering team, you will be responsible for analyzing and developing robust data models and pipelines to support analytics, reporting, and visualizations from our Data Lakehouse.

Key Responsibilities

  • Identify, investigate, and resolve data issues, discrepancies, and risks within new or existing datasets to ensure the datasets are complete and consistent for downstream usage.
  • Develop reports and extracts for key stakeholders both in on-premise and cloud-hosted data stores.
  • Work closely with 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 and guidance to the wider business.

About You

To succeed in this role, you will be comfortable working as part of a team and have the initiative to explore solutions on your own. You will have the opportunity to build robust data and reporting solutions that can be accessed using technologies suited for the specified audience.

Requirements

  • Experience working with large volumes of data, including time series and numeric data.
  • Proficiency in SQL database technologies, including on-premise and cloud data platforms, scripting, extracting, creating, and modifying data.
  • Meticulous approach to data and reporting discrepancies from source data through to reporting.
  • Confident in engaging constructively in a multi-disciplined team environment.
  • Self-motivated with a drive to learn and share knowledge.
  • Effective communicator and team player.
  • Able to forge strong and professional relationships.

Desirable Skills

  • Domain knowledge of the pensions industry.
  • Experience or familiarity with coding in R, Python, or other data modeling/analysis technologies, PowerBI for reporting and visualizations, data modeling for downstream extraction or consumption, data lakes for data storage, and data cleansing, manipulation, and analysis of large datasets.
  • Familiarity with continuous integration, continuous delivery, agile methodologies, and Azure DevOps.

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