Data Analyst - New York City, NY (Hybrid)
We are looking for a Data Analyst to support our Investment Banking (IB) Reporting team, primarily working on data migration and reconciliation projects.
Key Requirements
- Strong data understanding and analysis skills
- Experience in BI reporting and analytics (Power BI, Cognos, etc.)
- Hands-on experience in data migration and reconciliation
- Good knowledge of SQL and data validation
- Exposure to automation initiatives / process improvements
- Strong communication skills and a proactive approach
- Relevant experience in Investment Banking / Financial Services is reqd.
Role Highlights
- Work on migration from legacy reporting platforms to modern systems
- Perform data reconciliation and ensure data accuracy
- Support dashboarding and reporting needs
- Drive improvements through automation and efficiency initiatives
Required Skills and Experience - Stakeholder Engagement and Leadership
- Act as a trusted technical advisor to senior stakeholders on enterprise data strategy and platform capabilities.
- Lead and mentor a team of data engineers through architectural guidance, code reviews, and technical coaching.
- Partner with Enterprise Architecture and Infrastructure teams to ensure alignment with bank-wide technology standards.
- Produce clear technical documentation, architecture diagrams, and executive-level presentations for technical and non-technical audiences.
- 12+ Years experience as a Data Warehouse Architect or in a similar senior data engineering role.
- Hands-on experience with Azure Databricks, Python, and related Azure Data Services.
- Strong proficiency in SQL and data modeling techniques.
- Experience developing data pipelines, ETL/ELT workflows, and working with big data technologies such as Spark.
- Deep domain knowledge of the financial or capital markets industry, including financial instruments, trading, risk management, and regulatory compliance.
- Familiarity with data governance, security, and regulatory requirements.
- Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree preferred.
- Excellent communication skills with the ability to collaborate effectively across cross-functional teams and executive stakeholders.
Additional Preferred Experience
- Azure certifications such as Azure Data Engineer, Azure Data Scientist, or Azure Solutions Architect.
- Experience with additional programming languages such as Scala, Java, or C#.
- Knowledge of financial data standards and protocols.
- Familiarity with BI tools and reporting platforms.
