Responsibilities
Define and obtain source data required to successfully deliver insights and use cases
Determine the data mapping required to join multiple data sets together across multiple sources
Create methods to highlight and report data inconsistencies, allowing users to review and provide feedback on
Propose suitable data migration sets to the relevant stakeholders
Assist teams with processing the data migration sets as required
Assist with the planning, tracking and coordination of the data migration team and with the migration run-book and the scope for each customer
Role Requirements
- Strong Data Analyst with Financial Services experience,
- Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context
- 'Knowledge of one or more of the following domains (including market data vendors) :
- Party / Client
- Trade
- Settlements
- Payments
- Instrument and pricing
- Market and / or Credit Risk'
- Demonstrate a continual desire to implement strategic or optimal solutions and where possible, avoid workarounds or short term tactical solutions
- Working with stakeholders to ensure that negative customer and business impacts are avoided
- Manage stakeholder expectations and ensure that robust communication and escalation mechanisms are in place across the project portfolio
- Good understanding of the control requirement surrounding data handling
Experience / Skillset
Must have -
Excellent analytical skills and commercial acumen, Minimum 4+ years of experience with Python and Pyspark.Good understanding of the control requirements surrounding data handlingExperience of big data programmes preferableStrong verbal and written communication skillsStrong self-starter with strong change delivery skills who enjoys the challenge of delivering change within tight deadlinesAbility to manage multiple prioritiesBusiness analysis skills, defining and understanding requirementsKnowledge of and experience using data models and data dictionaries in a Banking and Financial Markets contextCan write SQL queries and navigate data bases especially Hive, CMD, Putty, Note++Enthusiastic and energetic problem solver to join an ambitious teamGood knowledge of SDLC and formal Agile processes, a bias towards TDD and a willingness to test products as part of the delivery cycleAbility to communicate effectively in a multi-programme environment across a range of stakeholdersAttention to detailGood to have -Preferable knowledge and experience in Data Quality GovernanceFor Spark Scala - should have working experience using scala (preferable) or java for sparkFor Senior DAs : proven track record of managing small delivery-focussed data teamsSkills Required
Management Consulting, Business Analysis