Data Operations & Implementation Specialist, VoC Research
Responsibilities
- Data Integrity & Management: Act as the subject matter expert (SME) for data taxonomy, independently developing mapping and validation rules to ensure the structural integrity and logical soundness of data across internal apps.
- Product Delivery & Reporting: Set up and manage deliverables, proactively enhancing ingestion processes and reporting using Python/VBA, SQL, and QlikView/NPrinting to maximize efficiency.
- Implementation & UAT: Directly facilitate decisions regarding data accuracy during User Acceptance Testing (UAT), finalizing the implementation of new data products.
- Process Improvement: Propose, own, and pilot automation projects to improve internal effectiveness in collaboration with IT.
- Support & Troubleshooting: Provide level 1 support, autonomously resolving data issues and advising internal stakeholders on product queries.
Required Experience & Skills
- Education: Bachelor’s degree in Computer Science, Engineering, or relevant quantitative field.
- Experience: Proven experience in data management, governance, or financial data operations.
- Technical Proficiencies: Strong SQL skills, proficient in Python or Excel VBA, and experience with reporting tools (e.g., QlikView, NPrinting).
- Soft Skills: Strong analytical capabilities, root cause analysis, strategic mindset, and ability to bridge technical and business requirements.
Note that the technical skills may be tested as part of the interview process.