Consultant - Data & Analytics

Nium, the Leader in Real-Time Global Payments

Nium, the leading global infrastructure for real-time cross-border payments, was founded on the mission to deliver the global payments infrastructure of tomorrow, today. With the onset of the global economy, its payments infrastructure is shaping how banks, fintechs, and businesses everywhere collect, convert, and disburse funds instantly across borders. Its payout network supports 100 currencies and spans 190+ countries, 100 of which in real-time. Funds can be disbursed to accounts, wallets, and cards and collected locally in 40 markets. Nium's growing card issuance business is already available in 34 countries. Nium holds regulatory licenses and authorizations in more than 40 countries, enabling seamless onboarding, rapid integration, and compliance – independent of geography. The company is co-headquartered in San Francisco and Singapore.

Key Responsibilities

Analyze and tell a story from large volumes of complex data using appropriate tools and data analysis techniques. Define, measure, and monitor KPIs, with a focus on experimentation and incremental improvements. Build dashboards and self-service analytical tools that enable non analysts to explore data independently . Develop new dashboards and maintain existing reporting suites to ensure quality, accuracy, and alignment with evolving business requirements. Support strategic planning by building analytical models to forecast different operational scenarios and assess business impact. Interface with cross-functional teams to gather requirements, prepare reports, and track performance metrics. Undertake strategic finance and analytics projects aimed at improving overall company performance. Support ad-hoc reporting, analysis, and data troubleshooting requests as required.

Requirements

2–4 years of experience in Data Analytics role with demonstrated ownership of end-to-end analytics initiatives. Strong proficiency in Python, SQL, and MS Excel; experience with MongoDB queries is a plus. Experience working with BI and visualization tools such as Metabase or Tableau. Strong analytical and quantitative skills, with the ability to identify trends, derive insights, and propose data-driven solutions. Experience in creating interactive dashboards and clear, intuitive data visualizations. Well-organized, with the ability to manage multiple projects and priorities simultaneously. Strong collaboration skills, with the ability to work effectively across teams and functions. Comfortable presenting insights and findings to diverse audiences, including senior management and non-technical stakeholders.