Senior Data Analyst

Job Description:

About the Role:

Under the supervision of the Senior Manager, Product Analytics, the Senior Data Analyst will analyze complex and large datasets to provide analytical support and generate customer and financial insights across multiple business areas. Telecommuting is available from anywhere in the United States based on manager approval.

You Will:

• Translate business requirements into instrumentation requirements, working alongside Product, Data Engineering, and other Stakeholders to deliver projects. 

• Work with Data Engineering to design and implement SQL pipelines end-to-end that efficiently create the output tables needed for analysis. 

• Create and optimize BI platforms, dashboards, and ad-hoc analysis, leading efforts to close gaps in data coverage and create new ways to visualize and understand datasets. 

• Provide leadership within the analytics team.

You Have:

• Position requires a Bachelor’s degree in Computer Science, Engineering, Statistics or a related field and 5 years of progressively responsible experience performing data analysis. 

• 1 year of experience with conducting strategic analysis, interpretation, and reporting of complex datasets; 

• 1 year of experience with leading teams of cross-functional members to implement end-to-end analytics solutions; 

• 1 year of experience with creating and optimizing BI platforms, dashboards, and ad-hoc analysis; 

• 1 year of experience with data visualization using Tableau and Python; 

• 1 year of experience with statistical experimentation methods using A/B testing, experimental design, power analysis, and non-parametric statistics; 

• 1 year of experience with defining and monitoring key performance indicators (KPIs), building self-service reporting frameworks, and creating dashboards for delivering insights into business and product health; 

• 1 year of experience with building scalable data pipelines, creating requirements for data acquisition and transformation, and developing robust data models to support analytics needs; and

• 1 year of experience with leveraging advanced statistical techniques, predictive analytics, and machine learning methods to address complex business problems and unlock new opportunities.

Compensation Details. The starting base salary range for this position is typically $161,138.00 - $192,000.00 per year. In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.

Our Benefits:

• Flexible paid time off

• Health, dental, and vision + 401k plan with company matching

• Paid parental, medical, military and family care leave

• Mental Health & Family Forming Benefits

• Employee Stock Purchase Plan (ESPP)

• Continuing education and travel 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 E-Verify Employer

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Senior Data Analyst

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