Job Title: Senior Data Analyst
Location: Chicago, IL or Dallas, TX
Overview: Are you a seasoned Data Analyst with a robust background in Data Warehousing and Enterprise Data Management? Do you excel in both technical and functional aspects of data analysis? Our client, a leader in financial services, is seeking a highly skilled Senior Data Analyst to join their team. This role is crucial for their ongoing Data Warehouse integration project and offers the opportunity to work with cutting-edge technologies and top-tier professionals in the industry.
Key Responsibilities
- Data Architecture Design: Utilize your deep understanding of data architecture to design and validate technical components, ensuring they support business solutions.
- Business Solution Focus: Translate data into functional business solutions with an emphasis on investor and potential investor reporting.
- Financial Services Expertise: Apply your knowledge of commercial lending, asset management, or financial services to provide insightful and relevant data analysis.
- Technical Proficiency: Work extensively with SQL Server 2019 (on-prem) and, if possible, leverage your experience with Azure for the Dallas office.
- Seamless Integration: Contribute to the Data Warehouse integration into the shared services unit, focusing on providing customizable data sets with minimal manual validation effort.
Qualifications
- Experience: Proven track record in Data Warehousing, Enterprise Data Management, and as a Business Analyst.
- Technical Skills: Expertise in SQL Server 2019 (on-prem) is essential; experience with Azure is a plus.
- Financial Background: Strong understanding of commercial lending and/or asset management. Familiarity with industry terminology and regulatory environment is highly desirable.
- Location: Must be local to Chicago or Dallas, with a preference for Chicago-based candidates. Occasional meetings at the client’s office may be required.
- Professional Attributes: Ability to hit the ground running, with a focus on delivering business solutions over technical/processing solutions.
Skills: data,data architecture,integration,azure,data engineering