Description
Wallgold is building the future of gold-powered finance — transforming gold from a passive store of value into a dynamic, intelligent financial ecosystem. We are looking for a Senior Data Analyst to join our core Data & Insights team, with a strong focus on finance, risk, and operations.
In this role, you will play a key part in strategic and operational decision-making by delivering deep financial and risk-driven insights, supporting supply, trading, and broader operational functions across the organization.
Key Responsibilities
- Design and maintain dashboards and monitoring systems focused on supply-side performance, enabling informed decision-making and optimization of supply-related processes.
- Collaborate closely with Business and Operations teams to clarify, measure, and continuously monitor profit and loss (P&L), cost structures, margins, and operational efficiency.
- Conduct in-depth analysis of risk, financial flows, liquidity, and exposure, identifying vulnerabilities and improvement opportunities across supply and trading activities.
- Develop analytical frameworks with the ultimate goal of increasing transparency, reducing uncertainty, and empowering the Supply team’s operational and strategic decisions.
- Work with the Data Engineering team to support analytics workflows and ensure reliable, timely, and accurate access to data.
- Monitor and analyze performance within the Operations domain, with a strong focus on Supply and Trading as its core subdomains; the Supply function is responsible for managing the organization’s supply-side operations.
- Act as a highly versatile analytical partner, bridging pure technical analytics, financial considerations, and operational realities, and handling complex problems that span across these domains.
Requirements
- 3+ years of experience as a data analyst or in a closely related analytical role.
- Strong proficiency in SQL and Python.
- Hands-on experience with BI tools such as Metabase, PowerBI, or Tableau.
- Flexibility in learning and applying new tools, technologies, and analytical approaches based on evolving business needs.
- Solid understanding of data warehousing principles, data cleaning techniques, and data management best practices.
- Deep expertise in financial analytics, including profit and loss (P&L), cash flows, risk analysis, margins, cost structures, and financial exposure.
- Heavy emphasis on technical depth, including data modeling, writing optimized queries, understanding database structures, and working closely with data engineering teams.
- Strong familiarity with the fintech ecosystem is a mandatory requirement.
- Curiosity, initiative, and an ownership mindset — this is not just an execution role.