Senior Data Analyst
Indexed description
- Design, build, test and enhance visual analytics assets to ensure continued relevance and usage of the dashboards by business users for making informed decisions
- Adopt the best practices to design and build reliable data stores for reporting and analytics
- Maintain data models to ensure all data are up to date with data accuracy and data integrity
- Collaborate with business to align logics of key metrics, and to ensure code logics correctly reflect latest business definitions
- Work closely with business stakeholders and data engineers to communicate data requirements, collect data, and validate quality of data products
- Work with Data Engineering team to define the key pipelines of data required to support Business.
- Support the build of business data stores where necessary to advance the scalability and reusability of GE’s visual analytics assets
- Support ad-hoc data analysis requests as and when required
- Ensure all analytics project undertaking comply with both internal and external policies, guidelines and regulations
- Possesses strong communication skills with the ability to bridge technical and business domains, and proactive problem-solving.
- Takes accountability in considering business and regulatory compliance risks and takes appropriate steps to mitigate the risks.
- Maintains awareness of industry trends on regulatory compliance, emerging threats and technologies in order to understand the risk and better safeguard the company.
- Highlights any potential concerns /risks and proactively shares best risk management practices
- Bachelor of Science degree in Business Analytics, Statistics, Economics, Actuarial Science, Data Science, Computer Science, Mathematics or equivalent disciplines that focuses on extensive use of data for analysis
- A minimum 3 years of experience participating in business intelligence and analytics projects as an individual contributor required
- A minimum 3 years of experience in data visualization tools (Tableau / PowerBI / Qlikview) is required
- A minimum 3 years of experience in SQL programming and standard MS Office applications is required
- Ability to analyze, identify, visualize and describe key trends within large datasets
- Hands-on experience with large volumes of data using SQL, Spark, Hadoop, and cloud data services (e.g., AWS, Azure, GCP) is preferred
- Good at requirements gathering, multitasking and work prioritization and being able to deliver work timely under pressure
- Understanding of banking, insurance and financial services is preferred
- Curiosity & a real passion for understanding “why?”
- Creativity to see possibilities within the data & translate into compelling stories, decision and actions for non-technical business users
- Strong communication skills and ability to influence the business to take action using data
- Knowledge of Python, especially in the field of text mining, is a plus
- Champion and embody our Core Values in everyday tasks and interactions.
- Demonstrate high level of integrity and accountability.
- Take initiative to drive improvements and embrace change.
- Take accountability of business and regulatory compliance risks, implementing measures to mitigate them effectively.
- Keep abreast with industry trends, regulatory compliance, and emerging threats and technologies to understand and highlight potential concerns/ risks to safeguard our company proactively.
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Work Locations
SG-GE Centre
Job
Data and AI
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