Senior Data Analyst Capital Markets & GenA
We are currently seeking three highly skilled professionals to contribute to a major digital transformation initiative within the insurance sector. This is a compelling opportunity to help shape the implementation of impactful data projects that align with strategic business goals. The ideal candidates will bring a passion for data experience in financial services and an ability to collaborate effectively across crossfunctional teams.
What is in it for you:
Salaried: $7080 per hour.
Incorporated Business Rate: $8293 per hour.
6month contract with the potential for permanent employment.
Fulltime position: 37.50 hours per week.
Weekday schedule from 9 am to 5 pm.
Hybrid work: 3 office days from Tuesday to Thursday.
Opportunity to work in a dynamic and professional environment.
Join a passionate and inclusive team of professionals.
Responsibilities:
Lead sessions with business stakeholders to gather requirements and secure approvals.
Create and maintain business documentation such as BRDs and sourcetotarget mappings.
Conduct data analysis profiling and metadata collection to support delivery.
Ensure alignment across teams and successful delivery of businessready data assets.
Oversee user acceptance testing and obtain business signoffs.
Collaborate with crossfunctional teams to ensure data solutions align with enterprise strategy.
Provide leadership and support to ensure projects meet timelines and data quality standards.
What you will need to succeed:
Bachelor s degree in a relevant field.
5 10 years of experience as a Data Analyst in the Wealth Management domain (Retail Retirement Institutional or General Accounts).
Intermediate to seniorlevel experience as a business analyst working in data lake or data warehouse environments.
Experience with datacentric projects involving master data management data integration data warehousing and reporting in capital markets or investment banking contexts.
Strong handson experience with SQL including writing complex queries for data analysis and validation.
Proven ability to deliver comprehensive data documentation within enterprisescale projects and timelines.
2 3 years of experience as with Generative AI.
Handson experience with Adobe Journey Optimizer.
Indepth knowledge of data modeling data loading profiling and validation using SQL scripts.
Demonstrated experience integrating new data sources into data lake or data warehouse environments.
Familiarity with trading platforms and performance systems such as Bloomberg Polar Lake SimCorp Dimension Findur Apex Eagle Charles River Sylvan and Calypso.
Ability to communicate clearly and effectively with various teams and stakeholders both verbally and in writing.
Exposure to Azure (asset).
Experience with AWS Connect (asset).
Why Recruit Action
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