DATA SUPPORT ANALYST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Published: October 9, 2024 - The Data Support Analyst understands major security asset classes like equities, bonds, futures, and OTC instruments, along with their key data attributes. This role requires proficiency in leading market data platforms and advanced skills in the Microsoft Office Suite, particularly Excel, with knowledge of Visual Basic for Applications (VBA). The analyst thrives on intellectual curiosity and data-driven decision-making, requiring strong communication and problem-solving skills while fostering a proactive team environment and suggesting innovative solutions.
Essential Hard and Soft Skills for a Standout Data Support Analyst Resume
- Data Analysis
- SQL Proficiency
- Data Visualization
- Data Management
- Excel Expertise
- ETL Processes
- Statistical Analysis
- Database Design
- Reporting Tools
- Python or R Programming
- Problem-solving
- Communication Skills
- Attention to Detail
- Time Management
- Team Collaboration
- Adaptability
- Critical Thinking
- Customer Service Orientation
- Project Management
- Analytical Thinking
Summary of Data Support Analyst Knowledge and Qualifications on Resume
1. BS in Applied Mathematics with 4 years of Experience
- Experience working with databases and data collection systems (MS SQL)
- Good understanding of database principles with the ability to write and understand complex Transact-SQL queries
- Enjoy investigating data scenarios that do not initially have a clear answer
- Consider automated testing an important discipline while writing software
- Good at communicating ideas as well as hearing others
- Familiarity with development in a .NET environment using C#
- Working with ETL processes that handle data from multiple parties
- Working with data in both on-premise and cloud-based systems (Azure)
- Ability to work with co-workers, callers, and administrators respectfully and cooperatively regardless of differences in values or opinions.
- Strong written and verbal communication skills.
2. BS in Statistics with 2 years of Experience
- Experience using data visualization and reporting tools, particularly experience with Power BI
- Confident using large data sets from different data sources and creating visual representations of the data
- Proficient user of Excel and Power BI preferably alongside experience using relational databases
- Strong sense of accountability and responsibility to deliver projects on time
- Eye for detail and excellent accuracy when capturing, transposing, or manipulating data
- The ability to form and upload documentation to the online portal and manage user access
- The ability to collaborate across different functions and time zones on any of the MI team outputs
- Strong English communication skills (written and oral) with an ability to take concepts and express them concisely and effectively
- Strive for continuous improvement
- Must be a collaborative team player
3. BS in Computer Science with 3 years of Experience
- An understanding of major security asset classes (equities, bonds, futures and OTC instruments) and key data attributes associated with them
- Working knowledge of leading market data platforms (e.g. Bloomberg)
- Knowledge of Visual Basic for Applications (VBA)
- A high level of proficiency with the MS Office Suite, including Excel functions.
- Intellectually curious, accountable and data-driven
- Must have strong communication skills
- Excellent problem-solving skills with detail-oriented
- Be a self-starter with the ability to work with minimal supervision
- An individual who possesses a positive, action-oriented attitude and understands the importance of taking initiative within a team environment
- The ability to challenge the status quo and suggest viable and actionable alternative approaches