![PRUDENTIAL SERVICES SINGAPORE PTE. LTD.](https://media.trabajo.org/img/noimg.jpg)
Director - Data & AI Analyst
1 week ago
ROLE PURPOSE:
Purpose is not a set of actions to appeal to advocacy groups and shareholders, or feel-good campaigns to engage conscious consumers. Purpose is a company's reason for existence; it encompasses the positive impact businesses make in the environment, in local communities, and in society at large, for the greater good, while monetising the value it delivers
About us:
We are a leading life insurance organisation with a global reach, dedicated to innovation and leveraging cutting-edge technology to drive business value. Our Global Technology Product Division is at the forefront of transforming how we use data and AI to enhance our products and services.
We are seeking a talented Data and AI Analyst to join our team. The successful candidate will be responsible for operationalizing data and AI products, extrapolating use cases, and aligning them with business value and broader strategic goals. This role will have a significant focus on process review for analytics optimization and will benefit from experience in gamification and retail user analytics.
ROLE DUTIES & RESPONSIBILITIES:The Data & AI Analyst will work closely with Group Technology senior management to:
- Operationalise data and AI products by integrating them into business processes and ensuring they deliver measurable value.
- Identify and extrapolate potential use cases for data and AI applications that align with our business strategy.
- Conduct comprehensive process reviews to optimize analytics workflows and enhance efficiency.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
- Analyse data to uncover insights, trends, and patterns that drive business decisions.
- Implement gamification strategies to improve user engagement and retention, particularly in retail environments.
- Provide expertise in retail user analytics to enhance customer experience and drive sales.
- Develop and maintain dashboards and reports to track key performance indicators (KPIs) and business metrics.
- Stay up-to-date with industry trends and advancements in data science, AI, and analytics.
- Advanced Machine Learning and AI Techniques, Experience with machine learning algorithms, natural language processing (NLP), and computer vision.
- Predictive Modelling, Expertise in building and validating predictive models to forecast trends and behaviors.
- Big Data Technologies, Proficiency in working with big data tools and platforms (e.g., Hadoop, Spark).
- Cloud Computing, Experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying data and AI solutions.
- Data Engineering, Skills in ETL (Extract, Transform, Load) processes, data warehousing, and data pipeline development.
- Customer Journey Analytics, Knowledge of tracking and analyzing customer journeys across multiple touchpoints.
- Gamification Design, understanding of game design principles and psychology to apply gamification in business contexts.
- Behavioural Analytics, Ability to analyse user behavior data to improve customer experiences and engagement.
- Must have a solid quantitative and analytical aptitude
- Must be comfortable organising unstructured information and forming reasonable linkages and hypotheses
- Possess the ability to broadly think across a range of strategic issues
- Has strong interpersonal skills; ability to interact congenially with global colleagues across different levels
- Has strong communication and public presentation skills
- Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. Master's degree preferred.
- Minimum of 10 – 15 years of experience in Data & AI or related fields
- Proven experience as a Data & AI Analyst.
- Strong proficiency in data analysis tools (e.g., SQL, Python, R) and AI frameworks (e.g., TensorFlow, PyTorch).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Demonstrated ability to operationalize data and AI products in a business context.
- Familiarity with gamification techniques and retail user analytics.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
- Ability to work independently and as part of a collaborative team.
TensorFlow
Psychology
Natural Language Processing
Hadoop
Game Design
ETL
Computer Vision
Data Engineering
PyTorch
Advocacy
Life Insurance
Google Cloud
Power BI
Data Warehousing
Data Visualization
Customer Journeys
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