Digital Business Analyst

6 days ago

Singapore ABS CONNECT PTE. LTD. Full time

**Responsibilities**

1. Partner with the company's business teams to elicit citizen/business needs through human-centric, visual methods such as service journeys and develop the appropriate business case

3. Work with fellow colleagues and the company's project teams to develop user stories, functional/technical specifications and acceptance criteria

4. Adopt best practices in data governance, perform data cleansing, pre-processing, and feature engineering that facilitate meaningful analysis

5. Design interactive visualization dashboards for data exploration and provide insights to company's business teams

6. Evaluate and recommend suitable technology while aligning with the company's technology directions (such as cloud-based, enterprise architecture and modernization of legacy systems, adoption of SG Tech Stack)

7. Identify and adopt the appropriate development methodology (e.g. Agile or Waterfall) in an Outsourced, Co-Sourced or In-house development environment

8. Ensure system or product readiness for smooth deployment, adoption and operations

9. Analyse impact of requested changes and propose improvements to continuously address changing business needs, and work with the support team to understand and address technical problems (Operations & Maintenance phase)

10. Assist the CIO to identify new opportunities for the company's digital transformation

**Requirements**:
3. Participated in at least one full software or product development cycle, preferably using Agile Methodology

4. Strong analytical, conceptualization and problem-solving skills

5. Good communication skills with the ability to pitch ideas and influence

6. A driven and motivated personality with an inquisitive mind

7. Ability to learn and apply

**Preferred Skills**

1. Business Analysis certification, e.g. Certified Business Analysis Professional (CBAP)

2. Past development or consulting experience

3. Relevant experience in one or more of the following areas: Data manipulation using scripting languages like Python or using ETL tools Visual analytics technologies like Tableau, Power BI End-to-end analytics architecture, preferably with some working knowledge of big data stack

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