Protecmedia develops and provides cloud-based software and services for news and media companies, helping them manage newsroom operations, advertising, subscriptions, and audience analytics to support their digital transformation and profitability. Their solutions include digital asset management, multi-channel content creation, audience segmentation, and tools to boost revenue from both digital and traditional sources
Responsibilities & Functions:
- Outbound lead generation
- Campaign Governance & Design: Define the methodological and measurement framework for campaigns (objectives, hypotheses, A/B and multivariate experimental design), advise on mix and budget allocation; day-to-day tactical execution falls to the team/agencies.
- Research-led Content Frameworks: Develop content guidelines and standards based on audience/market research; coordinate perception and brand lift studies (no operational copywriting).
- SEO/SEM Strategy & Measurement: Establish strategy, taxonomy, tagging standards and attribution models for SEO/SEM; monitor KPIs and data quality; technical implementation is carried out by the team/suppliers.
- Analytics & Modelling: Build data-driven attribution models and marketing mix modelling (basic/intermediate level); perform forecasting and statistical segmentation; translate insights into executive decisions.
- Social Listening & Insights: Define measurement frameworks for social media (share of voice, sentiment, incrementality) and coordinate with teams to adopt findings (no daily community management).
Required Competencies:
- Scientific/Analytical Thinking: Study design, statistical inference, and rigorous experimentation.
- Stakeholder Management: Ability to align Management, Sales, Product and CS with data-driven narrative.
- Methodological Rigor & Ethics: Measurement governance, validity/reliability and GDPR compliance.
Soft Skills:
- Communication: Executive storytelling; translating models/insights into business decisions.
- Adaptability: Incorporating new methodologies and changes in the data ecosystem.
- Time Management: Planning studies and analytical sprints in parallel with cross-functional dependencies.
Hard Skills:
- Analytics & Data: GA4/Looker Studio, functional SQL (BigQuery desirable); Python/R for modelling is valued.
- Experimentation: Design and analysis of A/B and MVT tests (power, significance, I/II errors).
- Research: Survey design, sampling, cleaning and analysis; social listening and brand tracking.
- Attribution & MMM: Data-driven models and marketing mix modelling (basic/intermediate level).
- Bachelor's/Master's in Marketing, Communications, Business/Economics, Statistics or related field (hiring based on qualifications).
- Google Ads / GA4 Certifications; HubSpot/Marketo (analytics/automation).
- Training in applied statistics, attribution and MMM; SQL; Python/R is a plus.
Development and Career Progression:
- Specialisation in Marketing Analytics/Science; leadership of measurement practices and data governance.
- Progression to roles of Insights Lead / Marketing Science Lead / Head of Analytics.
- Advanced certifications (e.g., cloud/BI, experimentation, privacy certifications).
Please submit a copy of your CV in English.
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