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.