Synergyassure Inc

Senior Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst with 10+ years of experience in Asset & Wealth Management, based in Chicago, IL. It offers a long-term contract and requires strong SQL skills, data analysis expertise, and familiarity with tools like FactSet.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 5, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#Data Quality #Agile #Datasets #Data Mapping #Scala #Data Pipeline #"ETL (Extract #Transform #Load)" #FactSet #SQL (Structured Query Language) #Data Analysis #Leadership #Stories
Role description
Hello Professionals, Role: Data Analyst - with Asset & Wealth Management. 13+ Needed Location: Chicago, IL(Onsite Locals only) Duration: Long Term No GC The ideal candidate will focus on analyzing data across a broad range of asset classes and contribute to building scalable data solutions using diverse data sources. Key Responsibilities Data Analysis and Management • Analyze and interpret complex data sets related to asset management. • Develop and maintain comprehensive data mapping and validation documents. • Collaborate with stakeholders to gather requirements and define data analysis needs. • Provide actionable insights and subject matter expertise based on data analysis. • Ensure data quality, accuracy, and integrity across all datasets. Domain Expertise • Provide thought leadership within the financial services data space, focusing on multiple asset classes. • Collaborate with team members to design and implement data solutions supporting business goals and outcomes. • Contribute to the creation of user stories and acceptance criteria. • Develop and execute effective testing strategies and plans. Qualifications • 10+ years of experience as a Data Analyst within Asset Management (required). • Experience with distribution data (preferred). • Strong understanding of data across various asset classes. • Hands-on SQL skills with solid knowledge of data pipelines and transformations. • Familiarity with tools such as Aladdin, Bloomberg, FactSet, or similar systems. • Excellent communication and stakeholder management skills. • Experience working in an agile development environment.