DATA OPERATIONS SPECIALIST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Published: October 4, 2024 - The Data Operations Specialist thrives in a fast-paced environment, effectively multitasking and coordinating with global teams with minimal supervision. Proficient in Excel, particularly with VLOOKUP, and familiar with operating systems like Windows and Linux, this role requires solid technical skills including basic coding in Python and familiarity with financial data sets from vendors like Refinitiv and Bloomberg. Excellent communication skills and a keen attention to detail are essential, along with a foundational understanding of financial instruments and industry terminology.
Essential Hard and Soft Skills for a Standout Data Operations Specialist Resume
- Data Analysis
- SQL
- ETL Processes
- Data Visualization
- Python
- Data Modeling
- Database Management
- Data Warehousing
- Cloud Computing
- Data Governance.
- Problem-Solving
- Communication
- Attention to Detail
- Time Management
- Adaptability
- Team Collaboration
- Critical Thinking
- Initiative
- Multitasking
- Stakeholder Management.
Summary of Data Operations Specialist Knowledge and Qualifications on Resume
1. BS in Data Science with 1 year of experience
- Passion for and commitment to the Make-A-Wish Mission
- Experience with database management
- Desire to work autonomously while collaborating regularly
- Ability to see and communicate trends
- A bias toward action; comfortable diving in and ‘figuring it out’ but also taking direction when appropriate
- Professional communication skills
- Excellent and demonstrated project management, time, and priority management
- Advanced Microsoft Excel experience.
- Data management: input, organization, analysis, configuration management.
- Interest in working with databases and data models
- Interest in data management or data analytics
2. BA in Business Analytics with 2 years of experience
- Ability and desire to operate in a fast-paced environment and the ability to multitask
- Comfortable working with developers and other technical staff
- Exceptional communication skills in both written and verbal English
- Work with little supervision and work with team members across global offices
- Solid Excel skills in particular VLOOKUP
- Experience with Windows and Linux (operating in the Linux shell: grep, ls, etc.)
- Experience operating with Jira (but we can teach the Jira ticketing system if needed)
- Experience working with data and financial data sets with vendors such as Refinitiv, Bloomberg, FactSet, Markit, etc.
- Basic knowledge of financial instruments and the financial industry's lexicon
- Basic coding skills with Python and web services
- Open-minded and with high attention to detail
3. BS in Information Systems with 3 years of experience
- Strong Excel experience, extra credit for knowledge of v-lookups or demonstrated use of other Excel functions
- Analytical mindset, bonus points for experience with BI or analytics tools such as Tableau or Looker
- Basic understanding of audience-building fundamentals and terminology (ie Boolean logic, etc.)
- Comfortable with manipulating data into different formats, with keen attention to detail
- Experience working in proprietary systems, familiar/experience navigating external vendor UIs
- Industry experience in an AdOps, media planning, or audience strategy
- Strong client-service mindset; excellent communication skills
- Ability to ensure multiple stakeholders are provided with timely updates on deliverables
- Ability to effectively prioritize requests in a time-sensitive and fast-paced environment
- Proven ability to form relationships and work effectively with cross-functional teams
- Fluent in English