Product Analyst

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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

We are looking for a Product Analyst, to work with product/ business teams, to help drive the Nium through its next phase of growth. This is an exciting opportunity to make impactful contributions that shape the future of cross-border payments industry. Join us, in this journey towards building meaningful outcomes.

Key Responsibilities
Collaborate with various stakeholders in the organization to define various data requirements to drive business insights
Work with Business, Product and Data/Engineering teams for continuous improvement of data accuracy/ quality, instrumentation and completeness
Analyze large, complex data sets to solve business problems, apply advanced analytical methods as needed
Develop dashboards and data sets for daily, weekly and monthly consumption across the board
Perform root cause analysis along with different teams to solve for underlying problems
Evangelise data literacy across the company, organise and hold workshops

Requirements
1-3 years in a data/product analyst role
Data visualization tools such as Metabase, Tableau, Power BI, or similar
Knowledge of statistical analysis and machine learning techniques
Proficiency in programming languages such as Python or R
Bachelor’s or master’s degree in a related field such as Engineering, Data Science, Statistics, Economics
Understanding of data warehousing concepts and tools (e.g., AWS Redshift, Google BigQuery)
Experience of data modelling and unstructured data

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 .

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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