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Data Acquisition Specialist
2 weeks ago
At Informa TechTarget, we are committed to delivering exceptional value to our clients through our cutting-edge research and data analysis services.
About the RoleWe are seeking a highly skilled Associate Research Analyst to join our team. As a key member of our research department, you will play a critical role in identifying, collecting, and managing large sets of data to support the research needs of the business.
Your primary responsibility will be to ensure accurate, timely, and efficient data gathering from various sources, including paid sources, online platforms, and internal databases. This requires proficiency in data management tools and a strong understanding of data integrity and quality assurance practices.
You will work closely with key stakeholders within the Intelligence & Advisory (I&A) division, particularly in I&A Operations & Commercial Analysts, to build strong and productive relationships that drive success in this position.
The ideal candidate will have a minimum of 1-2 years of experience in data acquisition, sourcing, or related roles, along with a good understanding of data management and metadata, and intermediate proficiency in programming languages such as SQL & Python.
Responsibilities:
- Gather and cleanse data from various sources to ensure high quality and accuracy, while validating incoming data to meet established standards and criteria.
- Conduct data profiling to identify and resolve data integrity issues, and maintain thorough documentation of data sources, extraction processes, and flow diagrams.
- Utilize ETL-based tools for data acquisition, processing, and ingestion.
- Schedule and manage data acquisition to ensure timely data availability.
- Utilize web scraping tools for automated data collection from external sources.
- Leverage AI tools to be more efficient in data acquisition.
- Troubleshoot and correct data inconsistencies and discrepancies.
- Effectively manage issue escalations, adopting appropriate escalation pathways with minimum supervision.
