Business Analyst, Marketing Analytics

A Business Analyst in Marketing Analytics at Remitly is responsible for creating a top-notch valuations capability, collaborating with various business units to gather requirements, and working with teams to implement model use in current cases. In addition, the analyst identifies further applications of valuations capabilities to drive business value and develops best practices for the model's use.

For the Business Analyst, Marketing Analytics role at Remitly, candidates should have a minimum of three years of experience in business or data analytics, proficiency in SQL and visualization tools like Power BI or Tableau, and experience in developing and managing valuations models. Familiarity with Python is a plus, and prior experience in financial services is preferred.

As a Business Analyst in Marketing Analytics at Remitly, familiarity with SQL, Tableau, and visualization tools like Power BI is essential. Additionally, having experience with Python will be beneficial, especially when collaborating with data scientists to analyze model performance.

At Remitly, a Business Analyst can expect a collaborative environment that values cross-functional team engagement. You'll work closely with data analysts, business analysts, data scientists, and stakeholders to drive the adoption of valuation capabilities across the organization.

Remitly offers numerous growth opportunities for a Business Analyst in Marketing Analytics, including the chance to create best-in-class valuations tools and work on significant projects across departments. The role also provides visibility to senior leadership, enabling career advancement within the firm.

When answering this question, highlight specific projects where you've successfully developed valuation models, the methodologies you used, and how they positively impacted your organization. Discuss challenges you faced and how you overcame them, showcasing your analytical skills and problem-solving abilities.

Your response should explain your approach to time management and prioritization. Share how you assess project urgency and impact, along with any tools or techniques that help you stay organized. Emphasize the importance of communication with stakeholders to align priorities accordingly.

Discuss your experience working with various teams, such as data scientists and product managers. Highlight specific examples where collaboration led to successful outcomes and how you ensure that your contributions align with the broader goals of the projects.

Mention any relevant tools such as Tableau or Power BI, describing how you've used them to create compelling visual stories from data. Talk about the importance of data visualization in communicating insights effectively to stakeholders and how it aids decision-making.

Share a specific instance where you successfully implemented an analytical model. Detail the process, including how you engaged stakeholders, addressed concerns, and the results achieved by adopting the model across departments.

Discuss your approach to establishing best practices in your analytics work. Explain how you stay updated with industry standards and how you communicate these practices to ensure team adherence.

Be prepared to discuss specific challenges, such as data quality issues or resistance from teams. Explain the steps you took to resolve these challenges and what you learned from the experience.

Talk about your proficiency in SQL and specific examples of how you've used it to manipulate and analyze data. Highlight the relevance of SQL in your previous roles and how it contributes to your analytical capabilities.

Articulate the importance of clear and concise communication when addressing senior leadership. Share strategies for presenting complex data insights and metrics in an understandable manner that facilitates decision-making.

Express your passion for using data to drive marketing decisions and how this aligns with Remitly's mission to transform lives through financial services. Show enthusiasm for contributing to a meaningful cause while leveraging your analytical skills.