Data Analyst at Surfshark focusing on data - driven insights and analytics solutions for marketing. Building robust ETLs and reporting layers to empower team decision - making and continuous improvement.
About the role
- Data Scientist & Senior Data Analyst in Data Analytics & AI at BearingPoint, delivering advanced analytics initiatives and AI-driven solutions for diverse clients. Collaborating with cross-functional teams to translate data into actionable insights.
Responsibilities
- Design, develop, and implement advanced analytics and AI use cases end-to-end, tailored to client needs.
- Perform in-depth data analyses (descriptive, diagnostic, predictive) on large datasets and support clients with clear, impactful insights and recommendations.
- Build, train, and validate machine learning models and AI solutions using state-of-the-art tools and frameworks.
- Interpret and visualize analytical results. Present complex findings clearly to both technical and non-technical client stakeholders.
- Work closely with clients to understand their business challenges and data landscape. Advise on analytics strategy, data management best practices, and opportunities to leverage emerging technologies.
- Coordinate project tasks among team members, ensuring timely delivery of high-quality results and mentoring junior analysts.
Requirements
- Master’s degree (or equivalent) in Data Science, Computer Science, Mathematics, Engineering, Statistics, or a related field (A Bachelor’s degree combined with strong relevant experience will also be considered).
- Proven ability to extract, prepare, and analyze data from diverse sources (structured and unstructured).
- Strong proficiency in SQL and data querying; familiarity with data modeling and database concepts (NoSQL knowledge is a plus).
- Proficiency in analytics programming, especially Python (and/or R). Hands-on experience with data science libraries and frameworks (e.g., pandas, scikit-learn, TensorFlow, Keras, PyTorch, Spark MLlib) and data visualization tools (e.g., Power BI, Tableau).
- Solid foundation in statistics and mathematics to develop, validate, and interpret complex analytical models.
- Experience building machine learning models (supervised and unsupervised) and knowledge of the end-to-end model lifecycle from development to deployment.
- Excellent communication and presentation skills. Ability to convey technical concepts and insights in a clear, compelling way to business stakeholders.
- Experience in a client-facing role or consulting environment, demonstrating a client-focused approach and the ability to adapt solutions to different business contexts.
- Several years (typically 3–5+ years) of hands-on experience in data analytics, data science, or a related field.
- EU citizenship or Czech Permanent Residency and already living in the Czech Republic.
Benefits
- Attractive compensation package: fixed salary with yearly evaluation and performance-related bonus, seniority, referral bonus, and peer-to-peer recognition.
- Multisport card
- Private medical subscription at Canadian Medical
- Prague transportation benefit (Lítačka)
- Pension insurance contribution
- Sick days
- Hybrid working model
- Seniority vacation days
- Continuous Learning & Growth: learning-oriented culture with customized training paths, support for professional certifications.
- Inclusive Team Culture: collaborative, inclusive environment that values diversity, knowledge-sharing, and entrepreneurial spirit.
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