Junior Public Relations Intelligence Analyst (Social Listening & Data Analysis)

The Junior Public Relations Intelligence Analyst (Social Listening and Data Analysis) position provides high-quality, hands‑on data analysis and social listening support across Global Intelligence Lab projects within FINN Partners. The Junior Analyst acts as a core data engine for the Lab, focusing on data retrieval, cleaning, tagging, analysis and synthesis, with a strong emphasis on social listening platforms such as Meltwater, Talkwalker, Brandwatch and Sprinklr.

This role is primarily executional and analytical, extracting, structuring, and interpreting large volumes of data via social listening, media intelligence and data analysis, crafting compelling narratives, writing copy, and creating analytical insight briefs. This role supports flagship offerings such as always‑on monitoring (Pulse), competitive intelligence (Compete) and trend analysis. This position is not client‑facing, so presentation experience and client‑facing experience are not required for this role.

Because this role reports to the department’s senior leadership, such close collaboration provides the Jr. Analyst with visibility and learning opportunities beyond that of a typical junior analyst level role. The Jr. Analyst will work closely with our Global Intelligence colleagues and, periodically with our account teams. We are looking for a hands‑on, analytically curious data Jr. Analyst who enjoys working deeply with social listening and intelligence platforms and wants the freedom to focus on what they do best: finding patterns, building robust datasets and turning noise into insight.

This job opportunity will permit you to join a small, evolving intelligence team where your work genuinely shapes outputs, and where you will have exposure to a wide range of FINN Partners’ global clients, business sectors, and issues, and where you have opportunity to improve, challenge and redesign frameworks, dashboards, and methodologies, while working within our team culture that actively encourages suggestions, experimentation and new ways of working. You will be trusted with responsibility, encouraged to challenge how things are done, and given space to grow your technical expertise in a supportive, senior‑led environment.

Responsibilities

• Increase the scale, speed and consistency of Global Intelligence outputs.
• Strengthen FINN’s always‑on monitoring, Pulse and Compete offerings.
• Enable senior team members to focus on interpretation, storytelling and client engagement.
• Execute day‑to‑day data analysis across social listening, media monitoring and digital intelligence projects.
• Build, maintain and optimise complex Boolean queries across multiple platforms.
• Pull, clean and structure datasets for use in Pulse dashboards, Compete reports and ad‑hoc analysis.
• Conduct volume, sentiment, share‑of‑voice and thematic analysis across brands, competitors and issues.
• Identify emerging narratives, anomalies, spikes and risks in large datasets.
• Support trend analysis, audience exploration and message pull‑through analysis.
• Quality‑check data outputs to ensure accuracy, consistency and methodological rigour.
• Document methodologies, assumptions and limitations clearly, for internal use.
• Support internal teams with rapid data requests and intelligence “quick turns”.

Requirements

• Bachelor’s degree or equivalent experience in a quantitative, analytical or communications‑related field.
• 1–3 years’ experience in data analysis, media intelligence or social listening.
• Analytically and technically strong applicants who are former employees or are power users of platforms such as Meltwater, Talkwalker, Brandwatch, or Sprinklr are highly desired.
• Inside knowledge from platform-side experience is highly desired.
• Advanced proficiency in at least one major social listening / media intelligence platform.
• Strong Boolean logic and query‑building capability.
• Advanced Excel / Google Sheets skills (pivot tables, formulas, data cleaning).
• A self‑starter who works effectively independently and is someone who has comfort working with large, messy datasets.
• Curious, detail‑oriented and motivated by problem‑solving.
• Highly proficient in written English, with the ability to clearly annotate findings and insights.
• Ability to work independently, manage time zones, and deliver to deadlines.
• High attention to detail and methodological discipline.

To Apply

Please upload your resume and cover letter detailing your prior work experience. While we appreciate the interest of all candidates, we will only respond to those with whom we have a greater interest.