We are looking for a Business Analyst who is passionate about using data to transform businesses by deducing meaningful insights and providing recommendations for change. You will play a critical part in identifying business issues, building proposals, and presenting the solutions to leading clients.
Responsibilities:
- Research
- Understand context of client, industry, and/or technical requirements for pitching presentations
- Stay updated on the latest Tech/AI/IT advancements, applications, and use cases
- Problem and Approach Framing
- Evaluate business cases, anticipate requirements, dissect problem statements, form hypotheses
- Collect and outline requirement specifications; and turn them into business conceptualization and rationalization (fit & gap analysis); and proposed solutions, functional design, and phases of implementation
- Worked with Graphic Designer to deliver high-quality work outputs, such as presentation slides, solution plan, functional design & specification documents, test reports, training materials
- Work closely with Chief Business Officer and Sales team to drive AI Project pipeline, or others as assigned
- Client Management
- Keep smooth and timely communication with clients
- Collect input, organize meetings, workshops
- Manage relationship with clients (C Level, Senior Executives)
- Work with teams to manage project pitching pipeline
- Internal Communication
- Work closely with cross functional stakeholders, such as CEO, CBO, CTO, Chief Data Science, Sales, and Tech teams
- Drive meetings with various stakeholders and produce clear summary, findings and next steps
- Help oversee resources to ensure high-quality and timely pitching presentations to avoid lost opportunities
- Monitor deliverables and ensure timely completion
Requirements
- A Bachelor’s or Master’s degree in Business, Computer Science, Computer Engineer, or related fields
- Previous experience in Consulting, AI/ML, or Sales a huge plus
- A minimum of 3 years experience as a business analyst, or related field
- Ability to logically frame large chunk of quantitative and qualitative data into structured visualization, report, presentation (Analytical, Logical, Conceptual thinking skills)
- Ability to present, influence, and communicate with C Level executives
- Have a customer-centric and service mindset
- Highly motivated, accountable, drive to excel and on the lookout for new challenges
- Ability to multitask (management and planning of multiple tasks, timeline, and resources)
- Advanced English and Thai competencies both written and oral
- High competency in Microsoft applications (Word, Excel, PowerPoint, Outlook)
Benefits
- Competitive salary
- Flexible working hour
- Telephone & sim card
- Group health insurance
- Mental Wellness Service
- Annual health checkup
- You pick your equipment (Mac / Windows)
- Free snacks & drinks (at office)
- Monthly GrabTransportation credit
- Education allowance
- Massage (at office)
- Performance bonus
- Vacation leaves
Top Skills
What We Do
Data Wow is an expert in data processing and a leader in AI development. With vigorous computer visions and best-in-class solutions supported by our strong Japanese partner, we offer end-to-end tailored solutions across all data stages – data labeling, management, and deployment. We are well-equipped with the capabilities to deploy web/app development, data pipeline and warehouse, data analytics, data security, Artificial Intelligence (AI), and Machine Learning (ML).
Examples of our solutions and technologies are full-service data labelling and tools, data engineering, predictive analytics, big data, and tech/AI consultation and training.
We leverage our knowledge in an extremely specific domain to address and tackle novel business problems via data-driven systems. We are industry agnostic, and we solve pressing issues for companies of all sizes – from startups to large enterprises. Through our holistic approach, we combine the latest technology with in-depth business understanding to deliver actionable, impactful and measurable values.
Interested to learn more or work with us, please visit us via our website https://datawow.io/careers
