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Senior Data Analyst, Complaints and Errors

Remitly

Remitly

IT, Data Science
Cork, Ireland
Posted on Friday, January 5, 2024

Job Description:

Remitly is on a mission to transform the lives of immigrants and their families by providing the most trusted financial products and services on the planet. Since 2011, we have been tirelessly delivering on our promises to immigrants sending their hard earned money home. Today, we are reimagining international payments at scale and building new products to create deeper relationships with our customers and their loved ones across the globe. Join over 2,700 employees across 10 offices who are growing their careers while having a positive impact on people globally.

Remitly is registered as a Money Services Business in the U.S., Canada, EU, United Kingdom, Singapore and Australia. Each of these jurisdictions require, among other items, that Remitly maintain a comprehensive Risk and Compliance Program.

About the Role:

As the Senior Data Analyst, Complaints and Errors you will report to the Analytics Manager, Customer Success. Your time will be spent working with structured and unstructured data, building analytical frameworks to detect the poorest customer experiences, and performing root cause analyses. You will collaborate with programme and product managers to prevent poor experiences and minimise their impact when they occur. Your work will directly influence customer experiences, and improve Remitly's regulatory compliance stance globally.

This role is based in Cork, Ireland or Ireland remote

You Will:

  • Focus on the small number of customers who have the poorest experiences
  • Effectively communicate metrics, analyses, commentary, and recommendations to multiple levels of stakeholders including regular exposure to senior leadership
  • Simultaneously and independently manage multiple projects while ensuring deadlines are met and the desired business impact is achieved
  • Use appropriate statistical tools and techniques to address ambiguous problems; identifying complaints and errors, classifying root cause, and modeling impact
  • Partner with Compliance Officers to support regulatory reporting related to complaints and errors

You Have:

  • Degree in Statistics, Mathematics, Computer Science, Operations Research, Engineering, Economics, or related fields.
  • An obsession with customer experiences
  • Minimum of 6 years of relevant experience in an analytics role
  • Minimum of 2 years experience classification modeling
  • Experience modelling complicated scenarios with data then estimating their relative size and impact
  • Experience in SQL, statistical modeling platforms (Python, R), data modeling
  • Experience with regulatory reporting and natural language processing are beneficial but not required

Our Benefits

  • 34 days of vacation (including public holidays)
  • Group private medical insurance with Irish Life & Health
  • Group pension (6% contributed) and group income protection
  • Employee Stock Purchase Plan (ESPP) available for eligible employees
  • Learning and development benefits.

We are committed to nondiscrimination across our global organization and in all of our business operations. Employment is determined based upon personal capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including a woman's potential to get pregnant, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability (including the use of a trained dog guide or service animal), HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law.

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.