At Synexus, we're helping advertisers rethink how they show up in the news ecosystem. After a successful investment round, we are now in the process of launching a new brand and product to the Ad tech market.

Today, blunt keyword blocking causes brands to avoid entire news sites — even when the content is high-quality, balanced, and aligned with their values. It’s like tossing out a whole basket of fruit just because one apple has a bruise.

Our technology changes that. Instead of just scanning keywords, Synexus analyzes how topics are being discussed. This allows advertisers to safely reintroduce premium journalism into their media plans — driving better reach, performance, and efficiency without added risk.

At Synexus, you’ll be surrounded by people who want to improve everything and support everyone around them. Our team is passionate about our mission, are experts in their fields and are collaborative problem solvers.

We model the following behaviors across the organisation:

Positivity - We approach challenges with optimism, realism, and a focus on progress.

Respect - We create an environment where everyone feels heard, valued, and safe to contribute.

Accountability - We take responsibility, keep our commitments, and support each other in delivering results.

Outcomes Focus - We prioritise impact over process, keeping customers, employees, and shareholders at the heart of what we do.

Synexus is seeking an Intelligence Data Analyst to help our in-house Intelligence Team with the development, delivery, and continual improvement of our intelligence products - tools that help clients navigate risk and brand safety in the online ecosystem.

This role combines analytical rigor with product ownership - you’ll apply digital forensic skills to monitor and interpret media manipulation and adversarial narratives on the open web, while also shaping the evolution of Synexus’s proprietary intelligence products.

Key Responsibilities

Create inventive technical methods to help the Intelligence Team complete its deliverables faster
Develop and document repeatable workflows, playbooks, and QA processes to enhance product consistency and reliability. Identify operational bottlenecks or data quality issues and propose scalable solutions. Support the evaluation of new tools, data sources, and methodologies that can improve the efficiency or depth of Synexus intelligence products
Develop ad-hoc automated intelligence collection solutions and other ad-hoc code to help with intelligence collection issues
Own the full lifecycle of one or more Synexus intelligence products — from definition and development to delivery and iteration. Define and prioritize product goals, requirements, and success metrics aligned with company strategy and client needs.
Drive adoption and growth of owned product(s) to maximize client engagement and revenue impact. Act as the voice of the customer — translating feedback, market intelligence, and internal insights into actionable product improvements
Work closely with the Data Team to integrate client feedback, design and test new features, refine machine learning processes, and ensure accuracy and scalability of intelligence outputs. Liaise with Commercial teams to ensure clear communication of product value and delivery timelines to clients
Maintain deep situational awareness of adversarial narratives, disinformation networks, and media manipulation tactics across open web and social platforms. Generate analytical reports, briefings, and insights for internal stakeholders and external clients as needed. Provide ongoing intelligence input to support data model training, product refinement, and content classification systems

Essential Skills And Experience

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

Desirable Skills And Experience

Experience with writing complex Regexs
Knowledge of marketing standards, tools, and techniques for the web, e.g. programmatic advertising, SEO, Authorized Digital Sellers, website metrics
Knowledge of data intelligence tools for data exploration and presentation such as Looker, Power BI, Tableau
Experience with data labelling and data extraction using LLMs on small-to-mid text corpora
Deep understanding of media ecosystems, or online influence operations — ideally within an ad tech, analytics, or intelligence context
Ability to connect day-to-day intelligence work to long-term product strategy and business impact
Strong proficiency in performing digital forensic analysis, using open-source data, identifying market trends, and integrating customer feedback to inform product direction
Excellent written and verbal communication skills; comfortable translating technical or analytical insights for commercial and executive audiences
Ability to influence cross-functional teams without direct authority; proactive ownership mindset
Comfortable navigating ambiguity, shifting priorities, and fast-changing online environments
A desire to work as part of a remote/virtual team
Additional language skills
Past experience working as part of a remote/virtual team

Competitive salary and options.

Health, dental, and vision benefits (US-based team only).

Flexible working hours and remote options. Full-time, 1.0 FTE (37.5 hours per week).

As a global organization, some flexibility for cross-time zone communication to be available for limited virtual meetings outside of office hours is required.

Professional development opportunities.

A place to be your authentic self

We are virtual by design to access a rich diversity of skills, expertise, experiences, and perspectives. Our commitment to neutrality is unwavering – across all of our work around the globe. Our employees are central to our mission and to our impact and we know that having varied perspectives helps generate better ideas to solve the complex challenges. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Pay will be benchmarked to the candidates location but this should provide a guide range

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Intelligence Data Analyst