Data Analytics Team Lead: Create Impactful Visualizations

Broadchains Fintech; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Broadchains Fintech is seeking a senior data & analytics leader to oversee a multidisciplinary team focused on designing advanced visualisations and analytical models. You will collaborate with operations to prioritise the most impactful use cases and translate complex findings into simple visualisations and actionable recommendations.

The role involves analyzing PB-scale data, using a mix of proprietary tools and open source kits, in a fast-paced environment where time to market is critical.

Qualifications

• Degree in a quantitative discipline (Math, Statistics, Actuarial Sciences, CS, Engineering or Life Sciences).
• Minimum 8 years of industry experience applying advanced analytics.
• Experience guiding operational improvements and supervising analytics/engineering teams.
• Ability to think abstractly, solve problems and handle ambiguity.
• Leadership mindset to shape and develop the team.
• Strong communication, presentation, project management and time management skills.
• Proficiency in two or more tools/techniques (R/SAS; Visualization with Tableau/PowerBI; Relational/Graph DB; Programming in VBA, C++, Java, Python).

Responsibilities

• Overseeing data & analytics team members to design and build complex visualisations and models.
• Collaborate with operations to prioritise and deliver impactful analytical use cases.
• Analyze large volumes of data using proprietary and open source tools.
• Be part of a fast-paced environment where time to market is critical.

Skills

Analytics leadership

Communication

Project management

Problem solving

Education

Quantitative degree

Tools

R

SAS

Tableau

PowerBI

SQL

NoSQL

Neo4J

Python

Java

C++

Job description

Broadchains Fintech is seeking a senior data & analytics leader to oversee a multidisciplinary team focused on designing advanced visualisations and analytical models. You will collaborate with operations to prioritise the most impactful use cases and translate complex findings into simple visualisations and actionable recommendations.

The role involves analyzing PB-scale data, using a mix of proprietary tools and open source kits, in a fast-paced environment where time to market is critical.