Sr. Analytics Engineer

ABCorp Senior Analytics Engineer

From our nation's earliest days, ABCorp has been a trusted force in security and innovation. In 1795, the federally chartered Bank of the United States entrusted American Bank Note Company with the critical mission of producing counterfeit-resistant currency for the young Republic. This early history established our company, now known as ABCorp, as a pioneer in secure printing, with innovations that served not only American banks but also international clients, a legacy that shaped our evolution into a global leader in secure manufacturing.

What began with protecting America's financial foundation now drives cutting-edge solutions that safeguard organizations worldwide. Today, ABCorp sits at the intersection where authentication, payments, and secure access embrace next-gen (including additive 3D) manufacturing to meet the demands of a digitally driven world. We have built 230 years of expertise – no one knows secure manufacturing and authentication better, and no one has done it longer.

We maintain global reach and compliance with eight locations around the world, and we've been trusted by fintechs, financial institutions, healthcare companies, governments, and brands across 120+ countries. We deliver end-to-end innovation through high-security, state-of-the-art facilities that are incubators for advancements in payments, secure access, and additive manufacturing.

The Team At ABCorp, we know that our legacy and decades of achievement are powered by an exceptional team that embodies a true startup mindset. The Analytics Engineering Team at ABCorp partners closely with Product Management, Engineering, Sales, and Customer Success to build the data foundations that drive product strategy and business decisions. Analytics Engineers serve as trusted advisors to stakeholders across the organization, translating complex data into actionable insights that shape our secure payment products, enterprise SaaS platforms, and digital consumer experiences.

Our team owns everything from data modeling and instrumentation to metrics definition, experimentation frameworks, and self-service analytics that empower teams to make data-driven decisions at scale.

The Role ABCorp is seeking a highly skilled Senior Analytics Engineer to own the data and analytics strategy for our secure payment card solutions and enterprise SaaS products. This role will serve as a hybrid Data Analyst and Data Engineer, understanding the business problems to solve and building scalable data infrastructure to achieve business goals. The ideal candidate will possess strong analytical and technical skills, excellent communication abilities, and a proven track record of partnering with product and business teams to drive measurable impact through data.

How You'll Make a Difference:
Partner closely with Product Management, Sales, and Customer Success teams to understand their data and reporting needs, translating business questions into structured analysis, metrics, and data-driven insights. Build and maintain data warehouse models that serve as the source of truth for product usage, customer engagement, manufacturing efficiency, and business performance metrics. Design, implement, and own key performance indicators (KPIs) and metrics frameworks that measure product success, user adoption, feature utilization, and business outcomes across our payment card manufacturing, enterprise SaaS, and digital issuance products.

Create dashboards, reports, and self-service analytics tools that enable stakeholders across Product, Sales, Customer Success, and Operations to access and act on data independently. Model and integrate data from multiple sources including CRM systems, product usage events, manufacturing operations, billing systems, and customer feedback to power automation, enrichment, and operational workflows. Collaborate with Product and Engineering teams on event instrumentation, schema design, and data collection best practices to ensure clean, reliable data capture.

Conduct deep-dive analyses on customer behavior, feature adoption, conversion funnels, retention patterns, and operational efficiency to…