Associate Research Analyst

**Company Description**
Do you want to develop your career and make an impact in the fast-growth, fast-moving B2B technology space?

We’re a vibrant community of world-class practitioners - over 2000 colleagues strong - with offices in 19 locations around the world. We’re traded on Nasdaq and also part of Informa PLC, a global leader in business-to-business events, digital services, and academic research in the FTSE 100.

**About Informa TechTarget**

**Informa TechTarget (Nasdaq: TTGT) informs, influences and connects the world’s technology buyers and sellers, to accelerate growth from R&D to ROI.**

With an unparalleled reach of over 220 highly targeted technology-specific websites and more than 50 million permissioned first-party audience members, Informa TechTarget has a unique understanding of and insight into technology markets.

Underpinned by those audiences and their data, we offer expert-led, data-driven, and digitally enabled services that deliver significant impact and measurable outcomes to our clients. We provide our customers with:

- Trusted information that shapes the industry and informs investment
- Intelligence and advice that guides and influences strategy
- Advertising that grows reputation and establishes thought leadership
- Custom content that engages and prompts action
- Intent and demand generation that more precisely targets and converts

**Job Description** This role is based in our Menara Skymind office.**

We’re now looking for an **Associate** **Research Analyst** to join our **Research Operations** team

**Purpose of role**:
An Associate Research Analyst is responsible for identifying, collecting, and managing large sets of data to support the research needs of the business in developing and maintaining research products. They play a critical role in the data lifecycle by ensuring accurate, timely, and efficient data gathering from various sources, including paid sources, online platforms, and internal databases. This position requires proficiency in data management tools and a strong understanding of data integrity and quality assurance practices.

Building strong and productive relationships with key stakeholders within the Intelligence & Advisory (I&A) division, particularly in I&A Operations & Commercial Analysts, is essential for success in this position.

**Key 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.
- Anticipation, early detection, prevention, and management of risks and issues impacting deliverables and research process.
- Stay updated on emerging technologies and methodologies in data acquisition and analysis.

**Ethics & Transparency**:

- Compliance with global regulations (like GDPR) to protect consumer data.
- Clear communication of research methods and processes ensures clients understand how data was collected and analyzed.
- Take ownership of assigned project tasks and proactively engage with all stakeholders to ensure effective communication.
- Understanding and commitment to Research & Analytics goals, objectives, and values in action, together with relevant policies and guidelines.

**Qualifications**
- Minimum of 1-2 years of experience in data acquisition, research, sourcing, or related roles.
- Ability to manage multiple projects simultaneously and meet deadlines.
- Attention to detail and commitment to data accuracy.
- Experienced and knowledgeable in the relevant tech industry is preferred.
- Good understanding of data management and metadata.
- Experience with data profiling and data quality assessment.
- Knowledge of data privacy and security principles.
- Excellent problem-solving skills, excellent communication, and collaboration skills.
- Familiar with ETL tools and techniques such as Alteryx, Azure, AWS, MySQL, MS SQL, SQLite, and Postman.
- Familiarity with AI tools and their capabilities.
- Familiarity with APIs and web scraping tools for data collection.
- Basic knowledge in programming languages such as SQL & Python.
- Knowledge of cloud-based data storage solutions (e.g., AWS, Azure) is advantageous.
- Continuous learning mindset to stay updated with new technologies and industry trends.

**Additional Information**
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