Sr. Data Analyst (Financial)

at  Techstra Solutions

Techstra is seeking an experienced Senior Data Analyst with Financial Banking experience and domain knowledge to bridge IT Engineering and the business needs for technical requirements, data correlation and data analysis.
From the day you join, you will hit the ground running surrounded by amazing people. Here is a look of some of the expectations and responsibilities for this position:
The Senior Data Analyst is a highly technical person with strong SQL skills to support analytics and exploratory analysis.

KEY QUALIFICATIONS

• Master’s Degree in Computer Science, Mathematics, Informatics or Management Information Systems
• Strong experience in Data Analysis and modeling preferably in a shared or enterprise data environment (Oracle database)
• Must have significant experience with Erwin and writing SQL statements to extract and analyze data
• Experience manipulating, processing and extracting value from datasets
• Experience in Data Analysis and Master Data Management (MDM)
• Banking domain experience with treasury, regulatory, risk, and global compliance
• Work experience with “Know your customer” (KYC) and “anti-money laundering” (AML)
• Familiar with NAICS, NACE and SIC codes for industry classification
• Inquisitive and resourceful– not afraid to network within the organizations to ask relevant questions
• Excellent verbal and written communication skills – ability to explain complex concepts to a wide variety of individuals with varying technical skills
• Experience in using business tools such as Jira and Confluence for task planning, tracking and documentation needs
• Team builder and facilitator of cross team discussions with proven ability to identify and remove roadblocks and resolve issues
• Ability to handle sensitive and confidential information appropriately

• Consult with business stakeholders to understand their objectives and data needs
• Write and run SQL queries for data analysis, inquiry and extraction
• Leverage Erwin data models to visualize data structure, physical and logical data models and complex source data
• Demonstrates ability to understand data attributes across complex systems
• Contribute to the continual improvement of the business’s data and analytic solutions, processes and data engineering capabilities.
• Interpret business needs and rapidly implements effective technical solutions
• Create technical design documents, test plans and supporting materials