Senior Data Analyst

Hybrid 3 days a week onsite

Onsite interviews preferred for 2nd rounds

Department: IM Technology

Job Location: New York

Position Overview

We are seeking a Senior Data Analyst to join our growing IM Technology team. In this role, you will leverage your strong analytical skills and expertise in data manipulation and visualization tools to support the development and implementation of data-driven solutions for Investment Management. You will work closely with business partners, data engineers, and software developers to identify data needs, develop data models, and create insightful reports and dashboards using Power BI.

Responsibilities

• Partner with business stakeholders to understand their data needs and translate them into actionable data models and queries.
• Respond to ad-hoc requests from business and technology stakeholders in a timely and accurate manner.
• Write complex SQL queries to extract, transform, and load (ETL) data from various sources.
• Develop and maintain data pipelines to ensure the timely and accurate delivery of data.
• Build interactive dashboards and reports using Power BI to visualize complex data sets and communicate insights to stakeholders.
• Perform data analysis to identify trends and patterns, and support investment decision-making.
• Stay up-to-date on the latest data analysis tools and technologies, including but not limited to Python and DataIKU (experience with DataIKU a plus).
• Document data models, queries, and reports to ensure clarity and maintainability.
• Collaborate effectively with team members across different disciplines and time-zones
  
  

Qualifications

• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, or a related field.
• 6-10 years of experience as a Data Analyst or similar role.
• Strong analytical skills with the ability to identify trends and patterns in data.
• Proven experience with SQL for data extraction, transformation, and loading.
• Expertise in Power BI for creating interactive dashboards and reports.
• Experience with Python and Spark for data analysis
• Experience with DataIKU (a plus).
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.