Principal Data Analyst

About CYBERA Scamsdrained$450 billionfrom consumers last year, up 19% in two years, and the number keeps growing as scammer armies use AI at scale. Every bank, insurer, fintech, and crypto exchange is increasingly on the hook to cover losses as new regulations to protect consumers are enacted. Every fraud tool on the market today fails at this usecase, whenvictims legitimately authorize payments. To the bank, transactions look normal,controlsnever fire, and just like that the money is gone. CYBERA goes upstream to disrupt thescameconomy. Our agenticscamdefense platform engages scammers at scale,turnthem into informants, andcapturethe mule accounts they plan to use before anyone loses money. Banks, insurers, and payment companies use CYBERA to know their bad accounts before money moves in and freeze payments to bad accounts before money heads out. When scammers are successful, CYBERA's agentic response engine traces, freezes, and helps recover funds, dramatically improving consumer outcomes. Leading banks, insurers, and crypto exchanges use CYBERA to cut fraud losses, speed up victim recovery, and turn everyscamattempt into intelligence that protects the next customer. Every Cyberian is a disruptor, using AI for good to stop financial crime at scale. If taking on this$450 billionproblem sounds like your kind of work,we'dlike to meet you. Learn more at. Our Values At CYBERA, how we work matters as much as what we achieve. We Deliver the Outcome by staying curious, thinking things through, and focusing on real customer value. We Do It as a Team through collaboration, empathy, and respectful candor. And we Adapt and Own It, adapting quickly and staying focused when priorities change, as they often do in a growing company. About the role As a Principal Data Analyst, you’ll turn massive volumes of messy scam, money mule, and internet signals across a multitude of channels into meaningful insights that guide investigations, improve systems and inform product decisions. You will work closely with engineering, product and operations to strengthen how CYBERA understands, measures, and scales its fraud and mule intelligence capabilities. The focus is on transforming complex, high-volume data into clear insights, durable metrics, and decision-ready analytics that support both day-to-day execution and longer-term product strategy. What you'll do - Deeply understand complex data sets and the systems that process them - Explore, clean, and analyze large and messy internet-derived datasets to identify patterns and anomalies - Build analytics tools that scale analysis and operations - Build dashboards and reports that make signals understandable to stakeholders - Translate analytical findings into recommendations for our product, operations, and partner banks - Collaborate with engineering team to design data-driven features and metrics - Create outstanding documentation that helps CYBERA scale - Own the full analytics lifecycle from initial signal to enriched, customer-accessible data Qualifications - Experience managing messy internet-derived data including URLs, email and social media sites at scale - Entrepreneurial mindset energized to overcome novel challenges - Attention to detail that drives the extraction of signal from challenging datasets - Strong SQL and data visualization skills (Metabase, Power BI, or similar) - Experience with Python or R for analysis and automation - A sharp eye for patterns and outliers in data - Clear, structured communication. You’ll be the bridge between data and decision-making It's a plus if you have: - Experience with data pipelines ordata-pipelinetooling (e.g.,dbt, Airflow,Dagster) - Understanding ofbasic machine-learning workflows or model evaluation - Familiarity with fraud, risk, or AML data - Familiarity with cloud data environments (Azure, GCP, or similar) Originally posted on Himalayas