Data Analyst

Data AnalystImmediate need for a talented Data Analyst. This is a 06 months contract opportunity with long-term potential and is located in New York NY / Baltimore MD (Onsite). Key Responsibilities:Build, maintain and improve recurring and ad-hoc reporting supporting:Trade lifecycle, transaction status and reconciliationGenerating insights from sales, flows, activities and opportunitiesFundraising and management reportingAdvisor, firm and industry targeting/intelligenceProduct and platform readinessWrite SQL and Python for data extraction, transformation, reconciliation, validation and automation.Develop and support ETL workflows, pipelines and scheduled processes.Create clear, client dashboards and visualizations using Tableau, Power BI or similar tools.Automate manual reporting, data preparation, validation, notifications and exception-management processes.Monitor production workflows, investigate data issues and implement durable fixes.Improve the accuracy, timeliness and consistency of data products and business reporting.Gather and document requirements; support testing, releases and user adoption.Maintain process documentation, business rules, data definitions and operating procedures.Partner with Sales, Operations and enterprise data teams to deliver prioritized initiatives.Experience with agentic-AI development, best practices, context optimization and quality assurance techniques.Key Requirements and Technology Experience:Must have skills: Data AnalystPythonSQLSnowflakeBachelor's degree in analytics, computer science, information systems, engineering, finance, economics or a related field, or equivalent experience.Two or more years of relevant experience in data analytics, business intelligence, data operations or reporting.Strong SQL and Python skills.Experience with ETL, data transformation, data validation and relational or cloud-based data environments.Experience creating dashboards in Tableau, Power BI or a comparable visualization platform.Strong analytical and troubleshooting skills with close attention to data quality.Ability to explain technical findings clearly to business stakeholders.Demonstrated ownership, curiosity and ability to manage multiple priorities.Experience with Client, Databricks, Git, APIs or workflow-orchestration tools.Exposure to financial services, asset management or alternative investments.Familiarity with sales, CRM, transaction, flow, advisor or product data.Experience improving Excel or other manual reporting processes through scalable automation.Familiarity with approved AI-assisted development tools.