Sr. Data Analyst

Define and obtain source data required to deliver insights and use cases. ● Determine data mapping and join multiple data sets across various sources. ● Develop methods to highlight and report data inconsistencies for user review. ● Propose and assist with suitable data migration sets for stakeholders. ● Support teams in processing data migration sets and coordinating migration activities. ● Plan, track, and coordinate the data migration team and migration run-book. ● Collaborate with stakeholders to avoid negative customer and business impacts. ● Ensure robust communication and escalation mechanisms across project portfolios. ● Implement strategic solutions and avoid short-term workarounds. ● Maintain strong control and compliance standards in data handling. Required Skills ● Minimum 7+ years of experience as a Data Analyst, preferably in financial services. ● Strong expertise in Pyspark, Python, and SQL. ● Experience with big data programs and data models in banking or financial markets. ● Ability to write SQL queries and navigate databases such as Hive, CMD, Putty, and Note++. ● Excellent analytical skills and commercial acumen. ● Strong verbal and written communication skills. ● Proven ability to manage multiple priorities and deliver within tight deadlines. ● Business analysis skills, including defining and understanding requirements. ● Familiarity with SDLC, Agile processes, and a bias towards TDD. ● Attention to detail and a proactive, problem-solving mindset. Nice to Have ● Knowledge and experience in Data Quality & Governance. ● Working experience with Spark Scala or Java for Spark. ● Proven track record of managing small, delivery-focused data teams (for senior roles). ● Experience with market data vendors and domains such as Party/Client, Trade, Settlements, Payments, Instrument and Pricing, Market and/or Credit Risk. Skills:- PySpark