Data Solutions Analyst

Company Overview
GrapheneAI was founded with a simple vision: to build decision tools which transform the way senior leaders make easy and robust data based decisions. It was also born with a vision to provide passionate individuals a nurturing ecosystem to create works of excellence that would become their legacy.

If you want to get the adrenaline rush of the startup world, why not experience the very best in Singapore?

Graphene’s innovative healthcare solutions, which combine technology, analytics and smart devices has made it the fastest growing healthcare startup in Asia. Led by a team of ex-Microsoft and P&G leaders, what makes Graphene a success story is its people. And we are here to recruit the best, who are passionate about impact, startups and healthcare.

Our Culture

Our folks will tell you that, on the journey with Graphene, they have experienced a very different work environment.  Everybody on the team is required to challenge the status quo, empowered to make decisions to drive customer delight and trusted to work flexible hours and locations.  With a high level of coaching and direct interaction with senior leadership in client organizations, we aren’t just building the world-class team of today, we are enabling the careers of tomorrow.

"We are not looking for employees, we are not looking for interns, we are looking for people to join our community"

A community…that believes that delighting our clients is the only way to success. A community that demonstrates thought and people leadership. A community which believes in collaboration, mutual respect and in almost no hierarchy.

Growing with us

We are expanding and are looking for talent who can quickly grow to global roles with large responsibility in almost no time.

Job Summary

The Data Solutions Analyst at GrapheneAI will lead the translation of stakeholder requirements into actionable KPIs, ensuring data accuracy and quality throughout solution implementation. You will drive end-to-end project delivery by validating data, designing automation, and delivering insightful reports that support strategic decision-making.

Responsibilities

• Lead the implementation of new data solutions and manage ongoing project execution to meet timelines and deliverables
• Analyze project requirements and translate business needs into precise technical specifications
• Collaborate with Solutions and Delivery teams to define and implement business and technical features aligned with project goals
• Develop and maintain clear, comprehensive documentation accessible to both business and technical stakeholders
• Identify and resolve technical and non-technical issues by proposing effective, mutually beneficial solutions
• Define and apply data validation criteria and transformation logic to ensure dataset integrity across projects
• Design and enhance automation processes to increase operational efficiency and scalability
• Produce accurate, insightful reports and dashboards that support project objectives and stakeholder decision-making
• Manage communication and expectations across multiple stakeholders to ensure alignment and transparency
• Recruit and oversee analysts as needed to support project delivery

Required competencies and certifications

• Proven experience working with large datasets and resolving data quality challenges
• Proficiency in Python and SQL for data manipulation and analysis
• Strong analytical and critical thinking skills demonstrated by solving complex data problems
• Skilled in creating and maintaining clear, comprehensive documentation for diverse audiences
• Proficient in Microsoft Excel and PowerPoint for data presentation and reporting
• Excellent written and verbal communication skills to facilitate effective collaboration
• Strong time management skills with a continuous improvement mindset
• Ability to adapt and thrive in a fast-paced, evolving environment
• Self-motivated, proactive, and collaborative team player

Preferred competencies and qualifications

• Bachelor’s degree in Computer Science, Information Systems, or Technology with specialization in Data/Business Analytics
• Experience as a Data Analyst, Data Quality Assurance (QC), or related IT role with at least 2 years of relevant work experience
• Experience with data visualization tools such as Tableau, Power BI, or QlikView