Perfect for those who aim to:
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Monitor the performance of recently implemented features by creating informative and interactive dashboards;
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Utilise data to comprehend the product and implement strategies for fostering growth and engagement;
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Analyse and identify patterns, formulate hypotheses and insights using ML & DS techniques;
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Advise various teams on A/B testing techniques, ensure measurability, and interpret the results;
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Contribute to the refinement of accuracy, reliability, and overall data quality;
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Collaborate with Data Engineers to deploy, maintain, and optimise the developed.
Experience you’ll need to bring:
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At least 2 years of experience in Product Analytics and/or Data Science;
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Advanced proficiency in SQL;
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Familiarity with BI tools (Tableau is preferred);
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Proficiency in Python libraries for complex data transformation and visualisation;
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Strong statistical knowledge and experience in using statistics to analyse intricate data;
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English - Intermediate level or higher (documentation and communication with team members).
It's a perfect match if you have those personal features:
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Strong communication and presentation skills;
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Attention to detail and a strong work ethic;
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Proactive and result-oriented mindset;
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Readiness to tackle challenging analytical tasks and focus on optimising business metrics.