Senior Specialist, Business Intelligence

Singapore - Valdimir Office

FWD Insurance

We’re FWD. A different kind of insurer with a vision to change the way people feel about insurance. Discover our story.

View company page

About FWD Group

FWD Group is a pan-Asian life insurance business with more than 11 million customers across 10 markets, including some of the fastest-growing insurance markets in the world. FWD reached its 10-year anniversary in 2023. The company is focused on making the insurance journey simpler, faster and smoother, with innovative propositions and easy-to-understand products, supported by digital technology. Through this customer-led approach, FWD is committed to changing the way people feel about insurance. Visit https://www.fwd.com.hk/

PURPOSE

  • You will be a team player who can work independently, responsible for planning, managing, designing, developing, delivering and monitoring the data models for FWD countries across the Asia Pacific region.

KEY ACCOUNTABILITIES

  • Collect and analyze data from multiple sources to identify patterns, trends, and key insights relevant to business objectives.

  • Use statistical techniques and data mining methods to uncover valuable information from complex datasets.

  • Collaborate with data engineers to ensure data accuracy and consistency.

  • Design and develop interactive dashboards and reports using BI tools (e.g., Tableau, Power BI, QlikView) to present data-driven insights to stakeholders.

  • Customize visualizations to meet specific business needs, ensuring clarity and usability.

  • Work with data engineers to define data requirements and specifications for ETL processes.

  • Validate and transform data to facilitate efficient analysis and reporting.

  • Address data integration issues and contribute to data infrastructure enhancements.

  • Engage with business stakeholders to understand their data needs and objectives.

  • Translate business requirements into technical specifications and data models.

  • Implement data governance best practices to ensure data accuracy, consistency, and security.

  • Conduct regular data quality checks and take corrective actions as necessary.

  • Create compelling visualizations and data-driven stories to communicate complex insights effectively to non-technical stakeholders.

  • Ensure visualizations adhere to best practices in data storytelling.

  • Provide training and support to business users on BI tools, enabling self-service analytics capabilities.

  • Troubleshoot and resolve BI tool-related issues as needed.

  • Propose and implement enhancements to existing BI processes and solutions.

QUALIFICATION/EXPERIENCE

  • Bachelor in IT, Computer Science, Information Systems or a related field.

  • More than 3 years proven experience as a Business Intelligence Specialist, showcasing expertise in data analysis and BI tools

  • Proficiency in BI tools such as Tableau, Power BI, QlikView, or similar.

  • Strong SQL skills and experience with relational databases.

  • Familiarity with data warehousing concepts and ETL processes.

  • Solid understanding of data visualization best practices and design principles.

  • Excellent analytical and problem-solving abilities.

  • Strong communication and interpersonal skills to collaborate effectively with diverse teams and stakeholders.

  • Ability to manage multiple projects, prioritize tasks, and work independently.

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Business Intelligence Computer Science Data analysis Data governance Data Mining Data quality Data visualization Data Warehousing ETL Power BI QlikView RDBMS Security SQL Statistics Tableau

Region: Asia/Pacific
Country: Singapore
Job stats:  1  0  0
Category: Big Data Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.