Senior Analyst – 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. About the Role: The Senior Analyst – Data & Analytics role involves overseeing the collection, analysis, and interpretation of data to support business decision-making. The role focuses on developing and implementing data models, identifying trends and patterns, and delivering actionable insights to improve operational efficiency and drive strategic initiatives. The Senior Analyst will collaborate closely with cross-functional teams to design and execute data-driven solutions, leveraging advanced analytical, statistical, and problem-solving techniques. The role also contributes to data governance initiatives, ensuring data quality, accuracy, and effective communication of insights to stakeholders. What we offer at Nium We Value Performance: Through competitive salaries, performance bonuses, sales commissions, equity for specific roles and recognition programs, we ensure that all our employees are well rewarded and incentivized for their hard work. We Care for Our Employees: The wellness of Nium’ers is our #1 priority. We offer medical coverage along with 24/7 employee assistance program, generous vacation programs including our year-end shut down. We also provide a flexible working hybrid working environment (3 days per week in the office). We Upskill Ourselves: We are curious, and always want to learn more with a focus on upskilling ourselves. We provide role-specific training, internal workshops, and a learning stipend. We Celebrate Together: We recognize that work is also about creating great relationships with each other. We celebrate together with company-wide social events, team bonding activities, happy hours, team offsites, and much more! We Thrive with Diversity: Nium is truly a global company, with more than 33 nationalities, based in 18+ countries and more than 10 office locations. As an equal opportunity employer, we are committed to providing a safe and welcoming environment for everyone. For more detailed region specific benefits : https://www.nium.com/careers#careers-perks For more information visit www.nium.com Depending on your location, certain laws may regulate the way Nium manages the data of candidates. By submitting your job application, you are agreeing and acknowledging that you have read and understand our Candidate Privacy Notice located at www.nium.com/privacy/candidate-privacy-notice. 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.