Data Analyst supporting the operation of virtual power plants at DieEnergiekoppler GmbH. Analyze data, improve marketing potential, and support client operations in an agile environment.
About the role
- Senior Data Analyst at GeoComply focusing on anti-fraud analytics and machine learning techniques. Leading complex data initiatives to enhance geolocation compliance solutions while driving significant business impact.
Responsibilities
- Architect & Own Strategic Solutions: Design and lead end-to-end analytical initiatives for complex fraud detection challenges, from problem definition through implementation, monitoring, and continuous optimization.
- Drive Innovation & Rule Evolution: Lead strategic initiatives to combat emerging fraud patterns and geo-blocking bypass methodologies, developing novel detection approaches through sophisticated data analysis, A/B testing, and impact measurement.
- Build Advanced Analytics Infrastructure: Design production-grade data pipelines, automated workflows, and advanced analytical frameworks using statistical methods, machine learning techniques, and geospatial analysis.
- Lead Technical Investigations: Conduct deep-dive analyses into complex fraud operations (coordinated networks, device fingerprinting evasion, behavioral manipulation) and develop sophisticated behavioral analytics systems.
- Influence Cross-Functionally: Translate complex technical findings into clear, actionable recommendations for executive leadership, product teams, and engineering. Lead compliance analytics initiatives and define evaluation metrics for new features.
- Mentor & Build Culture: Provide technical guidance and code reviews to mid-level and junior analysts, establish best practices and documentation frameworks, and contribute to hiring world-class analytics capabilities.
Requirements
- Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, or related quantitative field; Master's degree strongly preferred
- 5-7+ years of progressive experience in data analysis and data science, with demonstrated expertise in fraud detection, risk management, cybersecurity, or related analytical domains
- Proven track record of driving measurable business impact through advanced analytics and strategic insights
- Expert-level SQL proficiency with deep understanding of query optimization, complex joins, window functions, and data warehousing concepts
- Advanced Python programming with production-quality code standards; extensive experience with data science stack (Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn)
- Strong foundation in statistical analysis, hypothesis testing, experimental design, and causal inference methods
- Hands-on experience building and deploying machine learning models (classification, clustering, anomaly detection, time series analysis)
- Proficiency with modern data visualization and BI tools (Looker, Tableau, Power BI) with ability to design executive-level dashboards
- Experience with version control (Git), collaborative development workflows, and analytical documentation
- Strong understanding of data architecture, ETL/ELT processes, and data modeling principles
- Databricks experience with Spark SQL and distributed computing optimization (Highly Desirable)
- Proficiency with terminal commands and SSH for remote server management (Highly Desirable)
- Experience with cloud-based data platforms (AWS, Azure, GCP) and big data technologies (Highly Desirable)
- Familiarity with geolocation technologies, device fingerprinting, or network analysis concepts (Highly Desirable)
- Demonstrated ability to formulate complex business problems into analytical frameworks and deliver actionable solutions (Analytical & Strategic Skills)
- Strong product sense with ability to balance competing priorities (user experience, business risk, operational efficiency) (Analytical & Strategic Skills)
- Experience designing metrics, KPIs, and measurement frameworks for detection or risk systems (Analytical & Strategic Skills)
- Proven ability to work autonomously on ambiguous, high-impact problems with minimal supervision (Analytical & Strategic Skills)
- Track record of influencing senior stakeholders and driving organizational change through data insights (Analytical & Strategic Skills)
- Exceptional written and verbal communication skills with ability to present complex technical concepts to diverse audiences (Communication & Leadership)
- Experience mentoring analysts and contributing to team capability development (Communication & Leadership)
- Strong collaboration skills across technical and business functions (Communication & Leadership)
- Comfortable challenging assumptions and advocating for data-driven approaches (Communication & Leadership)
Benefits
- Hybrid working mode & Modern office at a prime location in District 1
- Professional development budget to support your growth
- 20 annual leave days, 5 sick leave days
- Premium health insurance (Bao Viet or Liberty)
- Social, unemployment, and health insurance contributions based on full salary
- Competitive salary package, 100% salary during the probation period
- Attractive bonuses (13th month, business performance, equity plans)
- Annual salary performance review
- Free parking
- Annual company trip & Year-end party
- Quarterly team-building activities
- In-office snacks and drinks (snacks, coffee, juice, milk, etc.)
- International working environment
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Junior Data Analyst supporting financial franchise operations for Banco BMG. Focused on data management and creating reports to enhance performance.
Senior Data Analyst in insurance analytics supporting multi - market programs. Collaborating with stakeholders to analyze data trends and build analytical tools.
Performance & Analytics Manager leading data systems and analytics for renewable energy portfolio. Collaborating across Asset Management and Finance to optimize performance and forecasting.
Senior Data Analyst shaping strategic data - driven decisions in customer service for Just Eat Takeaway.com. Collaborating with teams to optimize processes and enhance customer experience through data insights.
Data Analyst Intern at NetApp, enabling data - driven decisions in post - sales organizations. Collaborating with teams to create data models and support analytics initiatives.
Data Analyst joining Data Squad at Stay22 to contribute to data insights for decision - making. Collaborating with cross - functional teams to enhance data pipelines and business intelligence.
Data Analyst responsible for creating reports and automating data analysis processes at Evertec. Collaborating with cross - functional teams to enhance data - driven decision - making.
Customer Success & Data Analyst responsible for operational management of survey projects and statistical analysis for clients. Collaborating with internal teams to enhance employee experiences in various organizations.
Data Analyst working at Ki to support analytics, data models, and drive strategic business goals. Collaboration in an agile team for data - driven product optimization.