Senior Data Analyst

We are looking for a Senior Data Analyst to deliver enterprise-wide visual analytics, create effective and impactful dashboards, and generate actionable insights to drive business performance. This role requires independent work, stakeholder collaboration, and strong technical expertise to support data-driven strategies. 

• 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