DATA SUPPORT ANALYST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Updated: Mai 20, 2025 - 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
Professional Skills FAQs
What are professional skills?
Professional skills are abilities that help individuals perform tasks effectively in a workplace environment. These skills include both technical competencies required for specific roles and soft skills such as communication, teamwork, and problem solving.
What is the difference between hard skills and soft skills?
Hard skills are technical abilities learned through education or training, such as programming, data analysis, or laboratory testing. Soft skills refer to interpersonal abilities like communication, leadership, adaptability, and teamwork.
Why are professional skills important for careers and resumes?
Professional skills help employers evaluate whether a candidate can perform job responsibilities effectively. Listing relevant skills on a resume demonstrates qualifications and helps applications pass Applicant Tracking Systems used in modern hiring processes.
What professional skills do employers look for?
Employers usually value a combination of technical expertise and transferable workplace skills. Common examples include analytical thinking, communication, teamwork, leadership, time management, adaptability, and digital literacy.
How can professionals develop professional skills?
Professionals can develop skills through continuous learning, training programs, certifications, mentorship, and practical work experience. Staying updated with industry trends also helps individuals maintain relevant and competitive skills.
Editorial Process
Lamwork content is developed through structured review of publicly available job postings and documented hiring trends.
Editorial operations are managed by Thanh Huyen, Managing Editor, with research direction and final oversight by Lam Nguyen, Founder & Editorial Lead. Content is periodically reviewed to reflect observable labor market changes.