Senior Data & Intelligence Analyst, Luxury & Technology

ABOUT PARAQON

PARAQON Group is a Hong Kong-based luxury goods and technology platform operating at the intersection of deep market expertise and proprietary data. We focus on fine jewelry, colored stones, jade, and watches across Asia and beyond. Our objective is to bring structure, transparency, and intelligence to a fragmented market.

We are in an active phase of building our internal data and technology capability. This hire is a foundational part of that build.

THE ROLE

We are hiring a Senior Data Analyst to take primary responsibility for building and shaping our data and analytics capability. This is our first dedicated data role.

You will work with fragmented datasets from multiple internal and external sources and turn them into a structured, reliable, and usable foundation. From there, you will enable clear visibility into the business and support decision-making through pipelines, queries, and insights.

This is a hands-on, execution-focused role. You are expected to move quickly, work with imperfect inputs, and iterate towards clarity. You will work directly with senior leadership and our technology team, with a clear path to building and managing a small data team as the function grows.

WHAT YOU WILL BE RESPONSIBLE FOR

Data Ownership & Infrastructure

– Take full ownership of existing datasets across multiple internal and external sources

– Clean, standardise, and structure raw data into a reliable, queryable foundation

– Design, build, and document data pipelines that are maintainable and scalable as the business grows

– Identify inconsistencies and gaps, and impose logical structure across datasets

– Establish and enforce data quality standards — accuracy and integrity are your responsibility

– Define a clear data architecture that the broader technology team can integrate with and build on

Data Access & Usability

– Enable efficient querying and data extraction using SQL

– Design datasets that allow fast and flexible analysis

– Support ad hoc data requests from leadership with speed and clarity

Dashboards & Reporting

– Build and maintain internal dashboards to provide visibility into business performance

– Ensure outputs are clear, accurate, and useful — prioritising function over unnecessary complexity

– Iterate on dashboards based on evolving business needs

– Contribute to longer-term development of client-facing data outputs

Market Intelligence & Analysis

– Analyse transaction, pricing, and market data to identify trends, category movements, and demand signals

– Produce regular internal intelligence outputs — category deep-dives, market summaries, performance reviews, and pricing benchmarks

– Translate data into clear, actionable outputs for non-technical stakeholders

– Build repeatable analytical frameworks that make intelligence faster and more systematic to produce over time

Collaboration & Communication

– Work directly with leadership to understand priorities and translate them into data outputs

– Communicate progress, findings, and issues clearly and regularly

– Collaborate with the technology team to ensure data outputs integrate correctly into broader platform systems

– Define and document data output specifications for the development team — you own the data layer, not the frontend

Forward Development

– Contribute structured thinking on how AI and machine learning tools — valuation models, market intelligence automation, image recognition, and natural language processing — could be developed or adopted over time

– Help leadership understand what is possible, what it would take, and what to prioritise

– Focus on building a strong data foundation before pursuing advanced techniques — this is not an immediate requirement, but we want someone who can think rigorously in this direction

WHAT WE ARE LOOKING FOR

Required

– 3–5 years of hands-on experience in a senior data analyst, analytics engineering, or similar role

– Strong SQL — able to work across complex, multi-table datasets confidently

– Strong Python — data cleaning, transformation, pipeline development, and automation

– Experience working with messy, real-world data from multiple sources and making it usable

– Experience building datasets and dashboards for non-technical business stakeholders

– Experience defining data output specifications for software or development teams

– Self-directed — comfortable setting your own priorities and communicating upward to non-technical leadership

– Able to move quickly and iterate — n