Senior Data Analyst (Remote)

Reimagine access. Reimagine ownership. Build the future with Cinch.

Cinch is Southeast Asia's leading circular tech subscription company, redefining how people and businesses access technology. Instead of adding to the growing e-waste crisis, we enable affordable, sustainable access to devices through subscriptions that maximize reuse and extend their lifecycle.

We operate across B2C, B2B, and B2B2C channels, including major partnerships with global leaders like Samsung. Our model sits at the intersection of powerful mega trends—sustainability, embedded finance, and the shift from ownership to access—creating a massive opportunity to reshape the future of tech consumption.

At Cinch, we are builders with high standards, a bias for action, and a shared mission to create a generational company that outlasts us. Freshly funded by leading institutional investors and growing rapidly, we're creating an environment where ambitious people can do the best work of their careers—and where the work has real, lasting impact.

The Role

We are looking for a Senior Data Analyst to lead data-driven decision-making at Cinch. You will analyse complex datasets, identify trends, and turn them into strategic insights that improve business performance.

You will design and implement data models, build dashboards, and partner with cross-functional teams and leadership. The role involves advanced statistical analysis, predictive modelling, and data visualisation using SQL (Python is a strong plus), alongside extensive hands-on experience with BI tools. You should be an expert in dimensional modelling, including fact tables, dimension tables, and star schemas.

This is a team lead and individual contributor role. You will manage a team of data analysts, mentor and coach them, and review their work for correctness and integrity before it reaches the business.

You are also expected to be AI-literate and comfortable working with both Claude Desktop and Claude Code. We expect responsible AI usage, and the correctness of all work submitted remains the analyst's own responsibility.

Responsibilities

Analysis & Insights

• Understand business requirements and plan solutions to meet data needs
• Conduct advanced statistical analysis and predictive modelling to surface trends and opportunities
• Drill down into data and prepare reports with the highest level of accuracy
• Define new KPIs and measure them consistently across datasets
• Own and evolve the company-wide KPI framework across departments, ensuring metric definitions stay consistent and trusted
  
  

Data Modelling & Preparation

• Design and maintain dimensional data models (fact tables, dimension tables, star schemas)
• Collect data from multiple sources, then normalise, refine, and prepare it for analytics and visualisation
• Partner with IT and business teams to establish data-driven policies and strategies across the organisation
• Build and maintain data models in SQLMesh, including Jinja-templated SQL macros, following agreed modelling standards
  
  

Dashboards & Reporting

• Design, build, test, and publish dashboards and reports on our BI platform (Apache Superset, Looker), and schedule refreshes
• Create wireframes and beta dashboards with a focus on user experience, correctness, and visibility
• Monitor reports and dashboards, and make changes as needed
• Resolve data and performance issues in workbooks and data sources
• Maintain executive-level dashboards that consolidate key metrics across departments for leadership
• Automate recurring report delivery using workflow tools such as n8n
  
  

Platform & Governance

• Manage BI platform implementation, architecture, and administration
• Define access controls and implement security measures where required
• Actively manage platform performance and usability
• Improve processes across data management, data collection, dashboard design, and the wider product lifecycle
  
  

Team Leadership

• Lead, mentor, and coach a team of data analysts
• Review the team's work for correctness, accuracy, and integrity
• Set standards for analysis quality, documentation, and responsible AI usage
  
  

Qualifications

Must-haves

• Bachelor's or Master's degree in Data Analytics, Statistics, Computer Science, or a related discipline (or equivalent experience)
• 6–8 years of experience in data analytics, including at least 2 years leading or mentoring analysts
• Advanced SQL for data manipulation, statistical analysis, and predictive modelling
• Expert knowledge of dimensional modelling (fact tables, dimension tables, star schemas)
• Extensive experience building and managing dashboards and reports in BI tools such as Apache Superset, Looker, Tableau, Power BI, or Qlik
• Strong knowledge of data architecture, data mapping, data analysis, and data visualisation
• Ability to manipulate and blend data from multiple sources to design dashboards and visualisations
• Working proficiency with AI tools, including Claude Desktop and Claude Code, and sound judgement on responsible use
  
  

Nice-to-haves

• Experience in fintech, e-commerce, or subscription businesses
• Experience with cloud data warehouses and modern data stack tools
• Experience defining data access controls and governance in a BI environment
• Experience with SQLMesh, dbt, or similar data transformation tools
• Experience with workflow automation tools such as n8n
• Strong plus: Python for data manipulation, statistical analysis, predictive modelling, and automation