Amount provides a unified digital origination and decisioning platform that helps financial institutions meet the moment. Designed to scale with banks and credit unions at any stage of their digital journey, Amount delivers a seamless, digital-first experience—streamlining everything from loan origination to deposit account opening. With built-in fraud orchestration and risk management, Amount enables financial institutions to control risk across any product while optimizing performance and enhancing security. Our flexible, modular platform is backed by enterprise-grade infrastructure and compliance, allowing institutions to launch new offerings in months, not years. Amount’s clients include financial institutions collectively managing over $3.1T in assets and serving more than 50 million U.S. consumers. Learn more at www.amount.com.
Inclusion, diversity, and belonging are core to Amount's values, and we believe they are more than words, they are actions. We support our commitment to these ideas by empowering intrepid engagement and learning, increasing diverse representation, and fostering a culture where everyone can bring their full self to work without regard to differences. We look for people who embrace this culture.
A DAY IN THE LIFE:
As a Senior Manager of Customer Analytics at Amount, your day will be dynamic and fast-paced. You'll start by collaborating with the Customer Success team to understand their data needs and priorities for the day. Your tasks may include analyzing customer performance and usage data, identifying trends or patterns, and generating insights to improve customer satisfaction and retention. You'll also work closely with the Revenue Operations team to ensure data accuracy and availability for analysis. You'll communicate your findings and recommendations to internal stakeholders, including Customer Success Managers and Leadership, as well as senior client stakeholders, to drive informed decision-making.
Team: Will join a team of ~40 across the Revenue Organization that includes Marketing, Sales, Sales Engineering, Solutions, Customer Success, and Operations.
Base Salary: $146,250 - $170,625
Bonus: Amount employees are eligible for annual performance bonuses as part of our commitment to shared success!
Benefits & Perks: Check them out HERE!
WHAT WE’LL TRUST YOU TO DELIVER:
- Strategic Analysis & Forecasting: Analyze current customer data and business strategies across product, marketing, and credit to identify actionable insights. You will be responsible for explaining performance variances, recommending remedial actions to senior leadership.
- Drive Strategic Initiatives: Lead data-driven initiatives to enhance partner growth and profitability. You will convert analytical insights into specific recommendations for fraud detection and authentication, credit optimization, and work with the Customer Success and Marketing teams to define project deliverables and timelines. You will enhance and maintain dashboards and reports to track customer health, usage patterns, and performance metrics.
- Stakeholder Engagement & Communication: Collaborate with cross-functional teams, including Customer Success, Revenue Operations, Finance and Product, to gather requirements and implement data-driven solutions. You will be responsible for developing and presenting key recommendations and findings to senior leadership at Amount and its customers. You will support Customer Success Managers with creating executive business review reports that create compelling data narratives. Furthermore, you will proactively identify opportunities to optimize customer workflows and improve the overall customer experience.
WHAT YOU LIKELY BRING TO THE TABLE:
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
- 7+ years proven experience working in data analysis, preferably in a customer-facing role within the fintech industry.
- Proficiency in SQL for data querying and manipulation.
- Strong analytical skills with the ability to interpret complex data sets and generate actionable insights.
- Excellent communication skills, with the ability to present findings and recommendations to both technical and non-technical stakeholders.
- A strong executive presence, familiarity and fluency when interacting with senior clients in credit risk.
- Experience with data visualization tools such as Tableau, Power BI, or Looker.
- Detail-oriented mindset with a focus on data accuracy and quality.
- Ability to thrive in a fast-paced, collaborative environment and manage multiple priorities effectively.
Social Media: LinkedIn, Builtin, Twitter, Amount Blog
Tech Stack: Greenhouse, LinkedIn Recruiter, Lattice, G Suite, Atlassian, AWS, Python, Java, Ruby, GO, node.js, Temporal, Scala, Apache NiFi, Talend, Informatica, Hadoop, Hive, Spark, Pandas, Looker, Argo, Airflow Luigi, Kubernetes, C#, JavaScript (for advanced concepts), ASP.NET MVC, .NET Core, Microsoft SQL Server, Entity Framework (ORM for database interaction)
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