Int. Data Analyst (Power BI/Python) - 55147

# Of positions: 2

Business Unit: Treasury Data Integration

Duration: 6 months

Extension possible: Yes

Interview Process: 1 round

Work Location: Hybrid

CANDIDATE PROFILE DETAILS:

Years of experience: 2-5 years

Reason for request/why opened: additional

% Interaction with Stakeholders: 50% with internal stakeholders

Team Size: 5

Project: single project which is ongoing - treasury business data product/solutions

Selling Point of the position: The team is Treasury business data owners with exposure to treasury functions and have interactions with other data stakeholders within the bank

How will performance be measured: measured against pre-defined roadmap

Best vs Average Candidate: knowledge with finance or banking products, data driven, experience with data product management

Key Responsibilities:

- Design and implement strategic data solutions to meet the complex and comprehensive data needs for the Treasury and Balance Sheet Management (TBSM) department.

- Collaborate with cross-functional teams to understand TBSM's strategic goals, gather business requirements, and build scalable and future-proofing solutions to facilitate efficient treasury reporting and decision-making.

- Conduct data gap analysis, develop detailed data mapping and requirements documentation, and work closely with technology teams to support solution design and delivery.

- Perform User Acceptance Testing (UAT) to validate data solutions, ensuring they meet business requirements and functions as intended.

- Continuously enhance and optimize data integration and delivery processes to improve efficiency and meet the evolving needs of the treasury function.

- Assist with troubleshooting and resolving data issues and discrepancies, ensuring minimal disruption to treasury mandates.

MUST HAVE:

2-5 years of experience in one of the following: banking products, treasury, data analytics, data modelling and data solutions

- High proficiency in MS Office (Excel, PowerPoint, Word, Visio), SQL, data visualization tools such as Tableau or Power BI.

NICE TO HAVE

- Strong understanding of treasury functions and data needs such as fund transfer pricing, asset-liability management, funding, capital, liquidity, cash management, investments, and risk management is a plus.

- Experience with cloud-based data solutions such as Azure Databricks.

- Proficient in Python, or similar programming languages for data manipulation and automation.

- Familiarity with Confluence, JIRA, and SharePoint.

- Working towards CPA or CFA is considered a strong asset.

EDUCATION - bachelor’s degree in finance, Business, Data Science, Computer Science, Engineering, or a related field.