
Data Analyst
1 day ago
As a Senior Data Analyst, you will play a key role in defining and obtaining source data required to deliver insights and use cases. You will determine the data mapping needed to join multiple datasets together across various sources.
Key Responsibilities:
- Define source data requirements for delivering insights and use cases.
- Determine data mapping for joining multiple datasets together.
- Create methods to highlight and report data inconsistencies.
- Propose suitable data migration sets to stakeholders.
- Assist teams with processing data migration sets as required.
- Coordinate the data migration team and assist with the migration run-book.
For this role, we are looking for candidates with strong analytical skills, commercial acumen, and at least 4+ years of experience with Python and Pyspark.
Candidates must also have:
- Excellent communication skills, both verbal and written.
- A strong self-starter mentality with the ability to manage multiple priorities.
- Business analysis skills, including defining and understanding requirements.
- Knowledge of data models and data dictionaries in a Banking and Financial Markets context.
- Ability to communicate effectively in a multi-programme environment across a range of stakeholders.
This role offers a unique opportunity to work with an ambitious team and contribute to the development of cutting-edge solutions. As a Senior Data Analyst, you will be responsible for managing small delivery-focussed data teams and proposing strategic or optimal solutions.
OthersIt is preferable to have knowledge and experience in Data Quality Governance, but not necessary. Additionally, it would be beneficial to have working experience using Scala or Java for Spark.
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