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Senior Data Analyst
2 weeks ago
The position requires an individual with advanced analytical skills to make a significant impact on the company’s strategic objectives.
This role focuses on data exploration and research to inform requirements for Visa’s Identity Graph, collaborating with a globally distributed team. The successful candidate will work closely with engineering, data science, and other teams to understand data sources, both internal and external.
- Develop data-driven analyses to support product vision and strategy
- Create data cleansing and standardization algorithms
- Build identity resolution and assurance levels using advanced graph algorithms
- Perform exploratory data analysis on new data sources
- Establish metrics to monitor product health
- Conduct analytical research on how the Identity Graph adds value and simulate outcomes
- Collaborate with colleagues to develop business cases and revenue forecasts
The ideal candidate will have at least 6 years of relevant experience in machine learning and artificial intelligence. A bachelor's degree in computer science or mathematics is required. Proficiency in SQL and/or Python is necessary, along with knowledge of data preprocessing, feature engineering, large-scale datasets, real-time AI applications, and RESTful API design.
Excellent communication skills are essential, as well as strong analytical and problem-solving skills. Ability to work independently, manage time effectively, and handle multiple deliverables is also required. Good judgment, decision-making skills, and ability to perform under pressure are crucial.
Benefits:This is a hybrid position; in-office days will be confirmed by your hiring manager. The role offers opportunities for professional growth and development, working with a diverse and talented team.
Others:Job tags: machine learning, artificial intelligence, Python