Deskripsi Pekerjaan
Join PT. 4net Prima Solusi as a Senior Data Analyst in our cutting-edge SAS Fraud Management Project. We're seeking a data-driven professional to transform raw data into actionable insights that protect business operations and drive strategic decisions. In this role, you'll leverage advanced analytical techniques to identify fraud patterns, develop predictive models, and create compelling visualizations for stakeholders. This position offers the opportunity to work with complex datasets, collaborate with cross-functional teams, and contribute to innovative fraud prevention solutions that impact millions of transactions.
As a key member of our data science team, you'll be instrumental in enhancing our fraud detection capabilities while maintaining data integrity and security. The ideal candidate thrives in fast-paced environments, possesses strong problem-solving skills, and is passionate about uncovering hidden data stories. If you're ready to apply your expertise to real-world challenges and make a tangible impact in fraud management, we encourage you to apply.
Tanggung Jawab
- Analyze transactional data to detect fraudulent patterns and anomalies using SAS and statistical methodologies
- Develop and implement predictive fraud detection models with high accuracy rates
- Create interactive dashboards and reports using visualization tools (e.g., Tableau, Power BI)
- Collaborate with business units to define analytical requirements and deliver actionable insights
- Document analytical processes and maintain comprehensive data dictionaries
- Stay updated on emerging fraud trends and recommend process improvements
- Present findings to technical and non-technical stakeholders through clear storytelling
Kualifikasi
- Bachelor's degree in Computer Science, Statistics, Mathematics, or related field
- Minimum 3 years of experience in data analysis or fraud detection roles
- Proficiency in SAS programming and statistical analysis techniques
- Strong SQL skills with experience in database querying and optimization
- Experience with data visualization tools (Tableau, Power BI, or similar)
- Knowledge of machine learning algorithms for predictive modeling
- Excellent problem-solving skills with attention to detail
- Strong communication skills with ability to translate complex concepts