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«Др. Реддис Лабороторис» Казахстан

Analytics Specialist

ОфисУровень не указанАлматы, Казахстан1 ч назад
СИГНАЛ JOBRADAR75/100Нормальный сигнал актуальности
ПАСПОРТ ВАКАНСИИ

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Балл строится только на фактах из источников: свежести подтверждения, возрасте записи и происхождении вакансии. Это не гарантия найма и не оценка работодателя.

Последнее подтверждение3 мин. назад
Впервые замечена1 ч назад
Активные источники1 источник
ПроисхождениеПубличный источник
О ВАКАНСИИ

Описание вакансии

Role Summary

The Analytics Specialist is responsible for advanced analytics, experimentation design, segmentation validation and attribution measurement to support GenAI-enabled omnichannel marketing (OCM 3.0). The role leverages data from Salesforce Marketing Cloud (SFMC), GBQ, CRM, RCPA, and sales systems to generate predictive insights, design statistically robust experiments (A/B, MVT), build HCP clustering models and quantify OCM-driven uplift using advanced statistical and machine learning techniques.

Key Responsibilities

  • Perform campaign and content performance analytics, tracking key KPIs across channels and journeys
  • Validate advanced HCP segmentation and clustering using machine learning and advanced analytics techniques
  • Design and support experimentation initiatives (A/B testing, multivariate testing), including hypothesis definition, sample sizing and statistical validation
  • Identify key dimensions and levels to be tested in experimentation (content, channel, cadence, CTA) and generate actionable insights from test results
  • Develop attribution models to quantify OCM impact (e.g., regression, matched-market design, causal inference methods)
  • Build, update, and maintain dashboards and reports using tools such as Power BI and Tableau
  • Retrieve and integrate data from GBQ, SFMC, Bynder (DAM) and other relevant data sources
  • Link analytics findings back into SFMC journeys, decisioning logic and content orchestration in partnership with orchestration teams
  • Translate analytical findings into clear, actionable insights and recommendations for Brand and OCM teams

Prior Experience Required:

  • 3–5 years of experience in advanced analytics, marketing analytics, digital analytics, or commercial analytics roles in Pharma, Life Sciences, Biotech, Medical Devices (Primary industries) , OR
  • Proficiency in Python or R for statistical analysis and modeling
  • Exposure to machine learning techniques for segmentation or targeting FMCG, Banking or…

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ИсточникHeadHunter / IT / KZ