Intelligence Data Analyst

Strong knowledge of disinformation and other information security challenges. Excellent knowledge of SQL and data normalization skills. Experience in scraping and crawling operations with Python or Javascript using libraries such as Scrapy, Playwright, BeautifulSoup, Selenium, or similar. Solid understanding of the technical challenges and limitations related to scraping, including privacy regulations, bypassing WAFs, the use of proxies and IP rotation, and anti-tracking technologies. Experience with consuming APIs for data extraction and enrichment on third-party sources. Knowledge of basic NLP operations for data extraction, such as Named Entity Recognition, Topic Modeling, Sentiment Analysis, and similar, preferably within the Python environment. Professional fluency in English.

Create inventive technical methods to help the Intelligence Team complete its deliverables faster. Develop and document repeatable workflows, playbooks, and QA processes. Identify operational bottlenecks or data quality issues and propose scalable solutions. Support the evaluation of new tools, data sources, and methodologies. Develop ad-hoc automated intelligence collection solutions and other ad-hoc code. Own the full lifecycle of one or more Synexus intelligence products. Define and prioritize product goals, requirements, and success metrics. Drive adoption and growth of owned product(s). Act as the voice of the customer. Work closely with the Data Team to integrate client feedback, design and test new features, refine machine learning processes, and ensure accuracy and scalability. Liaise with Commercial teams to ensure clear communication of product value and delivery timelines. Maintain deep situational awareness of adversarial narratives, disinformation networks, and media manipulation tactics. Generate analytical reports, briefings, and insights. Provide ongoing intelligence input to support data model training, product refinement, and content classification systems.