Sr Analyst- Data and Workflow Automation Developer

Job highlights

• University Degree and minimum 5 years of prior relevant experience,or equivalent experience . About You / Requirements

Job Summary

You ll build the data and pipelines that sit behind TIDE. Your work will help cyber and exposure data move in a clean and reliable way from source to product. This role is about making data easy to use for others. You ll work on ingestion, matching, validation, automation and support for the back end of analytics tools that help the business and its clients. You ll work closely with the Technical Solutions Manager, the Product App Developer and domain specialists. Together, you ll make sure the data is clear, well checked and ready for use in reports, apps and other tools.

How You ll Make an Impact You ll build and maintain data pipelines that bring in structured and semi structured data from files, databases and third party APIs. You ll turn raw data into trusted data by applying clear rules for transformation, matching, validation and enrichment. You ll also help design data structures and interfaces that work well for downstream analytics and applications. You ll look at current ways of working before you automate them. Then you ll choose the right point to automate, add scheduling and alerts, and build in retry and exception handling. You ll also measure whether the automation has reduced manual effort, and you ll say so honestly when it hasn t.

Responsibilities

• Your responsibilities will include: building reliable ETL and ELT pipelines in Python and SQL using pandas or Polars to process and shape data

• working with Snowflake and Dataiku, or similar tools, to support data movement and orchestration

• writing automated tests and data checks that catch problems early

• documenting sources, rules, dependencies and how to run the work

• fixing the root cause when something fails, rather than relying on manual workarounds

• working with the Product App Developer and domain specialists so the data does what the product needs

• You ll also make data lineage, quality checks and failure handling visible to the rest of the team. That helps others understand what the data means, what it can and cannot do, and what it means for a client deliverable.

  Qualifications

• University Degree and minimum 5 years of prior relevant experience, or equivalent experience

  About You / Requirements

• You ve built production data pipelines in Python and SQL.

• You ve used pandas or Polars to work with tabular data.

• You ve designed ETL or ELT flows and connected third party APIs.

• You understand data modelling, validation, lineage and quality checks.

• You ve used version control, automated tests and deployment steps in your work.

• You can turn an operational process into clear and maintainable workflow logic.

• You write documentation as part of delivery, not as an extra task.

• You ve used AI coding tools such as GitHub Copilot, Claude or ChatGPT, and you can talk through the prompts, context and checks you use.

• You ve worked with imperfect data and set out clear validation rules.

• You ve used Dataiku or a similar analytics or orchestration tool.

• You ve worked with insurance, cyber security, entity resolution or exposure data.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.