Asset Management Analytics BA — Power BI & SQL

Argyll Scott

Singapore

On-site

SGD 120,000 - 180,000

Full time

9 days ago

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Job summary

Argyll Scott is seeking a Business Analyst with extensive experience in data, analytics and reporting within asset management. You will partner with business stakeholders, translate requirements into specs, and collaborate with data engineers to deliver scalable reporting solutions.

The role focuses on data modelling, data governance and creating dashboards to support investment and operational processes. Strong SQL and Power BI skills are essential for success.

Qualifications

  • 5+ years of experience as a Business Analyst or in a similar data-facing role.
  • Experience in the asset management space is preferred.
  • Strong requirements gathering and documentation capabilities.

Responsibilities

  • Partner with business stakeholders to understand requirements, challenges and opportunities across investment and operational processes.
  • Gather, document and translate business requirements into functional specifications, user stories, process flows and data/reporting requirements.
  • Work closely with Data Architects and Data Engineers on data design, integration and scalable reporting solutions.
  • Support data modelling, mapping, business rules and data lineage activities.
  • Develop and recommend reporting and visualisation solutions.
  • Analyse complex datasets to support business and reporting requirements.
  • Identify opportunities to improve processes, streamline workflows and reduce manual effort.
  • Support UAT, defect triage and business sign-off for new solutions and enhancements.

Skills

SQL
Power BI
Stakeholder management
Data analysis

Job description

Argyll Scott is seeking a Business Analyst with extensive experience in data, analytics and reporting within asset management. You will partner with business stakeholders, translate requirements into specs, and collaborate with data engineers to deliver scalable reporting solutions.

The role focuses on data modelling, data governance and creating dashboards to support investment and operational processes. Strong SQL and Power BI skills are essential for success.

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