Senior Data Analyst for Prezi's Data Science & Analytics team, shaping strategy and KPIs through web, product, user behavioral, and financial data, working fully remote in the EU.
Stack
Responsibilities
- ▹Conduct end-to-end analyses from conception (requirements specification, data processing) all the way to the end result and presentation
- ▹Have a positive impact on user experience and key company metrics, quantifying and attributing that impact to enable continuous learning
- ▹Proactively partner with stakeholders to define key metrics, and deliver reports, analyses, insights, and data products
- ▹Foster self-service analytics throughout the company by training and mentoring others, and maintaining core datasets and dashboards
- ▹Experiment and adopt AI technologies in the data space
- ▹Team with data engineering to ensure comprehensive and trustworthy data
Requirements
- ▹5+ years of relevant experience in data/business analytics with large datasets (Internet, banking, telecommunication)
- ▹A degree in Computer Science, Economics, Statistics, Applied Math, Physics, Social Sciences, or related areas
- ▹Familiarity with comprehensive statistical analyses: funnel analysis, clustering, forecasting, recommender systems
- ▹Hands-on experience with building dashboards from scratch
- ▹Comfort understanding business problems of stakeholders and supporting them with relevant analyst deep dives
- ▹Proficiency in data transformation: mainly SQL, plus Python or another scripting language
- ▹Active user and early adopter of AI technologies, interest in prompt and context engineering
- ▹Effective written and verbal communication skills in English
- ▹A proactive team player mentality, comfort communicating and presenting to diverse teams, including engineers and product stakeholders
Nice to have
- ▹Experience using AI tools in the analytics space
- ▹Experience with customer profiling, personalization and recommendations
- ▹Familiarity with Amazon Web Services
- ▹Experience writing and maintaining ETL pipelines
- ▹Experience with SaaS product analytics
Soft skills
Proactive team player mentalityCommunication with diverse teamsBusiness problem understandingMentoring
About the company
Prezi is shaping the future of presentations and idea sharing. The Data Science & Analytics team enables data-driven decision-making for leadership and cross-functional teams.
Languages: Angol: Felsőfok
Education: Diploma számítástechnika, közgazdaságtan, statisztika, alkalmazott matematika, fizika, társadalomtudomány vagy kapcsolódó területen
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