Назад

Analytics Specialist (Marketing Analytics)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Kazakhstan
hhВакансия с HeadHunter. Контакт ведёт на hh.ru

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TL;DR
Analytics Specialist (Marketing Analytics): Developing advanced analytics, experimentation, segmentation validation, and attribution measurement for GenAI-enabled omnichannel marketing with an accent on statistical modeling, machine learning, and multi-source marketing data. Focus on designing A/B and multivariate experiments, building HCP clustering and attribution models, and translating campaign insights into SFMC journeys and actionable recommendations.

Location: Onsite in Almaty, Kazakhstan, at the employer's location.

Company

Dr. Reddy's Laboratories operates in the pharmaceutical and life sciences sector.

What you will do

  • Analyze campaign and content performance across channels and customer journeys, tracking key performance indicators.
  • Validate HCP segmentation and clustering models using machine learning and advanced analytics techniques.
  • Design and support A/B and multivariate experiments, including hypothesis definition, sample sizing, statistical validation, and identification of test dimensions such as content, channel, cadence, and CTA.
  • Develop attribution models using regression, matched-market design, causal inference, and related methods to quantify omnichannel marketing impact.
  • Build, update, and maintain dashboards and reports in Power BI and Tableau.
  • Retrieve and integrate data from GBQ, Salesforce Marketing Cloud, Bynder, CRM, RCPA, sales systems, and other relevant sources; connect findings to SFMC journeys, decisioning logic, and content orchestration.

Requirements

  • 3–5 years of experience in advanced analytics, marketing analytics, digital analytics, or commercial analytics in Pharma, Life Sciences, Biotech, or Medical Devices; alternatively, experience in FMCG, Banking, or similar industries with segmentation or targeting analytics.
  • Proficiency in Python or R for statistical analysis and modeling.
  • Exposure to machine learning techniques for segmentation or targeting.
  • Exposure to A/B testing, multivariate testing, and performance measurement frameworks.
  • Experience handling data from web analytics platforms such as MixPanel and Google Analytics.
  • Bachelor’s degree in Statistics, Data Science, Engineering, Business, or a related field.
  • Strong proficiency in statistical modeling, machine learning techniques, SQL, and Python or R for data manipulation and modeling.
  • Ability to design and interpret multivariate experiments with statistical rigor and work with large, multi-source datasets across marketing platforms.
  • Proficiency in Power BI and Tableau, understanding of digital engagement metrics, and strong communication skills for presenting insights to non-technical stakeholders.
  • Comfort working in fast-paced, high-volume campaign environments.

Nice to have

  • Experience with marketing platforms such as Salesforce Marketing Cloud and digital asset management systems such as Bynder.
  • Experience with campaign and content performance analysis in digital or omnichannel environments.

Culture & Benefits

  • Full-time, onsite work at the employer’s location in Almaty.
  • Work in fast-paced, high-volume campaign environments.
  • Collaboration with Brand, omnichannel marketing, orchestration, and non-technical stakeholder teams.

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