Top Data & Analytics Jobs

As a Reference Data Operations Analyst, you will analyze data, improve processes, adopt changes, and enhance client experiences. You will document workflows, conduct root cause analysis, and propose automation initiatives while maintaining a strong control mindset to mitigate risks.

As a Quantitative Analytics Associate, you will analyze data, support multiple business lines, and resolve customer issues stemming from operational disruptions. Responsibilities include collaborating with stakeholders, querying databases, ensuring analytical accuracy, and automating processes using SAS or other tools. You will also mentor junior team members and deliver high-quality analytics for customer issue resolution.

The Quant Analytics Associate will support marketing and servicing campaigns across various lending sectors by analyzing data using SAS, SQL, and reporting tools. Responsibilities include gathering requirements, creating program specifications, and ensuring compliance with auditing standards. The role demands effective multitasking and strong analytical skills.

As a Digital Analytics Lead, you will lead mobile app analytics strategies, optimize performance, establish KPIs, collaborate with product teams, and ensure rigorous data governance to enhance user engagement and drive strategic product decisions.

The Quant Analytics Associate will drive analytical efforts for credit card pricing strategies, conducting hypothesis testing, A/B tests, and providing insights derived from advanced analytics. This role requires collaboration across teams to define metrics and analyze pricing strategies, aiming to optimize profitability in the Consumer & Community Banking space.

As an Analyst in the Cash Equities Operations team, you will be responsible for daily operational tasks including processing derivative products, verifying transactions, coordinating with various departments, and ensuring compliance with regulatory submissions.

Lead Data Engineer in Customer Success role with expertise in Splunk, Alteryx, Tableau, Pandas, Spark, Data Bricks, and AWS. Responsibilities include analyzing events, application flows, problem-solving, and collaborating with teams.