Senior Data Analyst

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.
• Proficient in Python, Pyspark and SQL.

Good understanding of the control requirements surrounding data handling

• Experience of big data programmes preferable
• Strong verbal and written communication skills
• Strong self-starter with strong change delivery skills who enjoys the challenge of delivering change within tight deadlines
• Ability to manage multiple priorities
• Business analysis skills, defining and understanding requirements
• Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context
• Can write SQL queries and navigate data bases especially Hive, CMD, Putty, Note++
• Enthusiastic and energetic problem solver to join an ambitious team
• Good knowledge of SDLC and formal Agile processes, a bias towards TDD and a willingness to test products as part of the delivery cycle
• Ability to communicate effectively in a multi-programme environment across a range of stakeholders
• Attention to detail

Good to have:

• Preferable knowledge and experience in Data Quality & Governance
• For Spark Scala - should have working experience using scala (preferable) or java for spark
• For Senior DAs: proven track record of managing small delivery-focussed data teams