Company Description
As the world's largest healthcare platform, each month, we connect 24 million patients with 280k doctors across 13 countries (through brands like ZnanyLekarz, Doctoralia, MioDottore, DoktorTakvimi, and jameda). At scale, yet agile – 3,000+ employees, but still fast, adaptable, and hands-on.
Marketing Data Analyst will be responsible to develop world-class marketing analytics that power the marketing team to make informed, insight driven decisions. They will partner with our data engineers, product data and business intelligence teams to create the foundational data structure that allows marketing data to flow and integrate with business data in our systems and BI tools. Their objective is to equip our analyst and marketing teams to focus on analysis that leads to insight and impactful action and not be bogged down with data gathering and organization. They are also responsible to build and champion the framework and methodology for efficient marketing data analysis.
Understand common challenges in data structures and strategies to build data products that are stable, scalable, and performant
Lead data quality issue analysis and resolution action plans and governance




Work collaboratively and develop relationships with Marketing stakeholder groups to understand business objectives and build data solutions that meet these needs
Provides thought leadership for complex problems requiring a data science approach
Build scalable dashboards for key marketing KPIs, budget and ROI analysis
Receive and conduct ad-hoc data analysis and reporting requests that require data blending from multiple data sources
Structure and present analyses to executives and other key stakeholders
Degree in statistics, data science, business analytics, marketing analytics, or related field
Minimum 5-7 years of experience in marketing and/or sales analytics.
Track record of delivering increased marketing effectiveness with measurable return on investment (ROI) and sales conversion and revenue improvements.
Advanced analytics capabilities using statistical and business intelligence tools (SQL, Tableau/Power BI/Qlik Sense, Excel all required)
Experience with data pipeline and warehouse tools - DBT experience required
Experience translating technical terms and explaining complex analysis to business stakeholders

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