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Sr. Analytics Engineer

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: American Banknote Corp.
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    Data Science Manager, Data Security
Salary/Wage Range or Industry Benchmark: 110000 - 140000 USD Yearly USD 110000.00 140000.00 YEAR
Job Description & How to Apply Below

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Technical Boston, MA, US

29 days ago Requisition

Salary Range: $ To $ Annually

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.

Learn more about ABCorp's story, products and team at

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.

The ideal candidate will bring an intense focus on data quality and reliability, an ability to influence cross‑functional stakeholders, strong product intuition paired with analytical rigor, and a passion for building scalable data models and self‑service analytics capabilities. As a key partner to our Product and Engineering teams, you will help shape products that reach millions of people in their everyday lives across fintech, commercial, healthcare, and government industries worldwide.

This is an in‑person role with our team based in Boston, MA.

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…
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