«Др. Реддис Лабороторис» Казахстан

Analytics Specialist (Marketing Analytics)

In short

This role analyzes marketing campaign and content performance, validates HCP segmentation models, and designs A/B and multivariate experiments to measure omnichannel marketing impact, for a pharmaceutical and life sciences company. It involves building attribution models, maintaining Power BI and Tableau dashboards, and integrating data from sources like GBQ, Salesforce Marketing Cloud, and CRM systems. The role demands 3-5 years of advanced/marketing analytics experience, proficiency in Python or R, SQL, statistical modeling, and machine learning techniques, plus strong communication skills for non-technical stakeholders. Work is full-time and onsite in Almaty, Kazakhstan.

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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