Senior Data Analyst
Senior Data Analyst at insurer Great Eastern in Singapore, partnering with business stakeholders to turn enterprise data into actionable insights — deep-dive analyses, dashboards and data storytelling built on SQL and BI tools (Tableau/PowerBI/QlikView), with Python a plus.
- Compensation
- Not disclosed
- Location
- Singapore River, Central Region
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data analytics
- Posted
Skills
Must have
- Bachelor's degree in Business Analytics, Statistics, Economics, Actuarial Science, Data Science, Computer Science, Mathematics or equivalent data-focused discipline
- Minimum 5 years of experience in business intelligence and analytics projects as an individual contributor
- Minimum 5 years of experience with data visualization tools (Tableau / PowerBI / QlikView)
- Minimum 5 years of SQL programming experience
- Ability to analyse, identify, visualise and describe key trends within large datasets
- Good at requirements gathering, multitasking, work prioritization and delivering timely under pressure
- Curiosity and passion for understanding 'why'
- Creativity to see possibilities within data and translate into compelling stories for non-technical business users
- Strong communication skills and ability to influence the business to take action using data
- High integrity, accountability and good teamwork attitude
- Initiative to improve current state and adaptability to embrace change
Nice to have
- Understanding of banking, insurance and financial services
- Knowledge of Python
Full description
The Senior Data Analyst is responsible to work closely with business stakeholders to transform enterprise data into actionable insights. This role is critical in enabling business performance through strong analytical thinking, sound business acumen, and the ability to communicate insights via compelling data storytelling. The role entails conducting deep dive analyses and developing best practice data visualisations and dashboards using appropriately aggregated data sources. The Senior Data Analyst is expected to work independently to deliver analytics projects, collaborate closely with key stakeholders, and apply the necessary technical expertise to implement analytics solutions that position data as a strategic asset.
- Collaborate with business stakeholders to understand requirements and translate data into meaningful actionable insights
- Perform deep‑dive analyses to identify trends, risks, and opportunities that support strategic decision‑making
- Design, build and enhance visual analytics assets to ensure continued relevance and usage of the dashboards by business users for making informed decisions
- 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, and validate quality of data products
- Work with data engineers to define the key data pipelines required to support Business
- Ensure all analytics project undertaking comply with both internal and external policies, guidelines and regulations
- 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 5 years of experience participating in business intelligence and analytics projects as an individual contributor required
- A minimum 5 years of experience in data visualization tools (Tableau / PowerBI / Qlikview) is required
- A minimum 5 years of experience in SQL programming is required
- Ability to analyse, identify, visualise and describe key trends within large datasets