Job scopes:

The Business Analyst will partner with the finance and fund management team to transform the GLP Group reporting process. The primary responsibility of this position is to work closely with the finance and fund management team to understand business requirements for a technology solution, work with vendors to design the reporting process, and create various financial and operational reports and dashboards based on the business needs. This role may also support Training, project management, project administration, and documentation tasks.

Key Responsibilities:

• Work alongside the business or the management team to establish business needs and document the business requirements.
• Build data flow for acquisition, aggregation, and modeling using batch and streaming paradigms.
• Create business glossary/data dictionary based on predefined templates.
• Design and build Reports and Dashboards using Power BI, Anaplan and Workiva Tool.
• Understand and communicate data requirements related to future infrastructure needs, working with other IT architects (in-house, partners, and vendors) to develop an approach that fits the current and planned needs of the organization.
• Collaborate with Training to develop instructional materials and assist with end-user Training.

Mandatory Skill(s)

-        Bachelor's degree / Diploma preferably in a field of Information Technology or Computer Science;

-        2-3 years working experience in Real Estate, Investment, Fund Management with hands-on financial reporting development experience.

-        Foundational knowledge of Financial Accounting, Financial Reporting Standards, financial/regulatory reporting process, and submission frequency.  

-        Strong experience designing and deploying full stack data analytics platforms including the use of data warehouse technologies (Azure Data Lake) and data visualization tools such as PowerBI, Anaplan, Workiva or Tableau.

-        Comprehensive knowledge of and experience with IT operations and QA processes use DevOps continuous deployment environment.

-        Expertise building ETL and data pipelines on Databricks using data engineering languages Python and SQL on Azure

-        Advanced knowledge and experience working with Python & SQL;

-        Understanding of Data Lake based architectures is a plus.

-        Experience with agile projects and UML modeling is a plus.

-        Excellent written & verbal communication skills to coordinate effectively with different stakeholders & vendors.