Manager (Data and Analytics)

Introduction

The candidate will work on delivering key data and analytics initiatives for various Finance stakeholders. The candidate will contribute to data governance projects as required. This would require working closely with Finance users and Subject Matter Experts (SMEs) to understand and design high quality data solutions and own the data initiatives end-to-end. The successful candidate would be a trusted consultant for the business for setting up efficient data flows, reporting and making data-related analysis and processes as accurate and automated as possible.

Overview of role

• Work closely with a diverse set of stakeholders in Finance and other parts of the organization
• Consult stakeholders to design and propose the best suited data solution
• To build end-to-end solutions including data workflows, dashboards, reports etc.
• To be familiar with financial data ecosystem in the organisation
• Assist the Finance Analytics team drive value for the Finance department and the organisation as a whole

Requirements

• Bachelor's degree in Information Systems, Information Technology or related field
• More than five (5) years of experience working with BI & analytics tools (SQL, Tableau, Metabase or similar technologies)
• Experience in ETL tools, data modelling and have proficient knowledge of SQL and Relational Databases with the ability to write, execute and interpret queries is essential
• Quick learner, problem-solving aptitude, effective prioritization, proactive and strong attention to detail
• High sense of ownership and growth mindset, ability to be self-directed
• Ability to understand business questions/requests and be able to suggest proper BI solutions which are measurable and scalable
• Excellent communication skills and ability to influence peers and build strong relationships within Finance and cross-functionally
• Advanced Excel modelling (OLAP cubes & VBA advantageous)

Advantageous

• Accounting/Financial knowledge and commercial acumen
• Solid technical/functional knowledge in statistics
• Familiarity with scrum/agile methodology
• Others - T-SQL, batch scripting, ODBC, data mining, Hadoop