Manager, Product Analytics
Manager, Product Analytics
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Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Apply data mining techniques and conduct statistical analysis to large structured and unstructured data sets to understand and analyse phenomena. Model complex business problems discovering insights and opportunities through statistical algorithmic machine learning and visualisation techniques working closely with clients data and technology teams to turn data into critical information used to make sound business decisions. Execute intelligent automation and predictive modelling.
Qualifications :
Type of Qualification:
- Degree in Information Studies/Information Technology
Experience Required:
Data Monetisation
- Data & Analytics
- 57 years Experience in working with unstructured data (e.g. Streams images) Understanding of data flows data architecture ETL and processing of structured and unstructured data. Using data mining to discover new patterns from large datasets. Implement standard and proprietary algorithms for handling and processing data. Experience with common data science toolkits such as SAS R SPSS etc. Experience with data visualisation tools such as Power BI Tableau etc.
- 57 years Proven development experience in software and software engineering. Understanding of financial services data processes systems and products. Experience in technical business intelligence. Knowledge of IT infrastructure and data principles. Project management experience. Exposure to governance and regulatory matters as it relates to data. Experience in building models (credit scoring propensity models churn etc.).
Additional Information :
Behavioural Competencies:
- Adopting Practical Approaches
- Articulating Information
- Challenging Ideas
- Checking Things
- Examining Information
- Exploring Possibilities
- Interacting with People
- Interpreting Data
- Meeting Timescales
- Producing Output
- Providing Insights
- Team Working
Technical Competencies:
- Data Analysis
- Database Administration
- Data Integrity
- Knowledge Classification
- Research & Information Gathering
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
