Social Insight Strategist

OLIVER Latin America

Ciudad de México

Hybrid

MXN 420.000 - 640.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

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Qualifikationen

  • Proficiency in English is mandatory.
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Kenntnisse

English proficiency
Social metrics
Data storytelling
Analytical thinking
Stakeholder communication
Gen AI tools
Cross-functional collaboration

Tools

Brandwatch
Meltwater
Talkwalker
Sprinklr
Dash
Platform analytics

Jobbeschreibung

Modelo: Hybrid
THE OPPORTUNITY

This is an opportunity to join OLIVER's LATAM studio in Mexico City, embedded with a global leader in household consumer goods, working across a portfolio of everyday brands that reach millions of Mexican families.

Data sits at the heart of how this studio makes decisions, from understanding what content resonates with Mexican consumers to optimising campaigns across every channel. As a Data Analyst, you'll mine and blend data from social and marketing channels, turning complex datasets into clear, actionable insight that helps creative, strategy, and client teams move smarter and faster. Based in Mexico City with a hybrid/onsite arrangement, you'll bridge the gap between raw data and real business impact.

We support flexible working and are open to different arrangements. We offer reasonable adjustments throughout the process.

THE ROLE

You'll be the analytical engine behind the studio's data capability in Mexico, translating raw data into insight that improves content performance, informs campaign strategy, and deepens understanding of the consumers these brands serve.

This isn't about producing reports for their own sake. It's about using data creatively and strategically: decoding consumer behaviour, identifying trends, and helping the team act on what the numbers are actually saying. Success looks like insight that is clear, used, and genuinely improves the work.

WHAT YOU'LL DO
  • Interpret and integrate data from organic, paid, influencer, and social listening sources to build a cohesive view of social performance and audience engagement.
  • Develop audience segments, content pillar analyses, and format effectiveness frameworks that inform what experiences and content are served to target audiences.
  • Use social listening tools to track brand reputation, audience behaviour, and emerging cultural trends - including early identification of risks and opportunities.
  • Conduct channel audits and performance analyses to surface platform, content, and audience insights with clear, prioritised recommendations.
  • Build and maintain measurement frameworks, benchmarking tools, and regular reporting cadences that inform social strategy and future planning.
  • Identify and develop innovative measurement approaches - including custom metrics and AI-driven or agentic automated reporting solutions.
  • Champion insight tools across the studio; manage relationships with key technology and data suppliers to maximise platform value and usage.
  • Drive data literacy across the team through training, learning sessions, and proactive sharing of industry developments - embedding best-practice measurement at the heart of studio output.
  • Present findings and recommendations confidently to senior client and internal stakeholders.
WHAT YOU BRING
  • Proficiency in english is mandatory!
  • Expert knowledge of social metrics across organic, paid, and influencer activations.
  • Proficiency with social management and listening platforms such as Brandwatch, Meltwater, Talkwalker, Dash, and Sprinklr, as well as native platform analytics tools.
  • Strong ability to build analytical solutions that aggregate and mine data from multiple sources to generate richer, layered insight.
  • Excellent data storytelling skills - able to distil complex analysis into clear, compelling narratives for/of non-technical audiences.
  • A strategic, boundary-pushing approach to measurement, with confidence identifying client needs and building tailored solutions proactively.
  • Organised and confident presenting to senior stakeholders, both internally and client-side.
  • Comfortable working at pace in a changing environment; collaborative and open-minded by default.
  • Proficiency with Gen AI tools to enhance analytical workflows, with the ability to critically evaluate outputs and apply sound human judgement.
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