Data Analyst
1 week ago
Job Purpose
This role is responsible for advancing research and development, enhancing client relationships, acquiring strategic datasets, and providing innovative solutions through product prototyping. The ideal candidate will focus on evaluating and acquiring new data assets and prototyping new products. This involves inventing and modifying advanced algorithms, applying them to large datasets to solve complex business problems. The role requires balancing and prioritizing multiple concurrent projects, anticipating obstacles, and delivering high-quality results on an aggressive schedule.
Key Responsibilities
Data Analysis
- Process, evaluate, and document large datasets
- Apply machine learning, data mining, and text mining techniques to uncover data value
- Design data structures and storage schemes for efficient data manipulation and information retrieval
- Develop data-driven models to quantify data value
- Validate model performance and conduct ROI analysis
- Document and present model processes and performance
- Apply analytical and industry knowledge to construct solutions for internal and external clients
- Makes independent decisions to develop new options and troubleshoot uncertainty
Problem Solving and Innovation
- Develop best practices for utilizing Experian and client data to produce new insights
- Develop business assumptions for developing relevant solutions
- Develop state-of-the-art topical material for Knowledge Share and Roundtable discussions
Project Management
- Work independently on assignments using knowledge and work management to address project team issues
- Gather input from colleagues and influence project and account teams
- Manage client and internal relationships
Teamwork and Knowledge Sharing
- Share expertise with others and continually improve department contributions
- Provide informal and formal mentoring within project teams
- Actively participate in the analytical community through conference presentations and white papers
Personal Development
- Stay connected with clients, competitors, and market groups to understand movements, trends, and opportunities
- Maintain and action personal development plans in consultation with line managers
- Seek feedback to improve skills, knowledge, and competencies
- Develop competency and knowledge of software and analytics
- Keep up-to-date with recent developments in Experian data assets, analytical methods, and software tools
- Show willingness to take on additional responsibility and more difficult project work
Requirements
- Advanced degree or equivalent in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Maths, or other quantitative fields
- Strong grasp of probability, statistical inference, optimization algorithms, linear algebra, and calculus
- Understanding of analytical approaches, including regression analysis, machine learning, AI, deep learning, and other advanced modeling approaches
- Ability to write near-production-level code in at least one general-purpose programming language
- Understanding of modern technologies for processing large datasets, including Apache family, latest database technologies, and natural language processing tools
- Good communication skills
- Thorough understanding of particular domain products and services and their use by clients
- Experience working in cross-functional teams
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