Data Analytics Engineer

BillGO is building the next generation of payment and money movement infrastructure for small businesses. Data products and insights are core to how we scale reliability, reduce operational friction, and deliver better outcomes across payments, risk, and support.We are looking for an Analytics Engineer to join our growing data team and help transform payments data into reliable, scalable, and actionable insights. Sitting at the intersection of data engineering, analytics, and business, you will build clean data models, define key metrics, and enable stakeholders across product, finance, risk, and operations to make data-driven decisions.This role is ideal for someone who understands the complexity of payments ecosystems (transactions, settlements, fraud, reconciliation) and enjoys turning messy data into trusted, well-documented datasets.Why This Role MattersThis role matters because it transforms complex, fragmented payments data into a trusted foundation for decision-making across the business. As an Analytics Engineer, you enable teams to operate with clarity and confidence by building reliable data models, defining consistent metrics, and ensuring data integrity in a highly intricate financial ecosystem. In a space where accuracy, speed, and compliance are critical, your work directly impacts everything from revenue visibility and reconciliation to fraud detection and operational efficiency. By bridging the gap between raw data and business insight, this role not only improves day-to-day performance but also helps scale the company’s data infrastructure, empowering smarter decisions and driving long-term growth in a rapidly evolving fintech landscape.What You’ll DoDesign, build, and maintain scalable data models for customers, payments, transactions, settlements, and financial reportingTransform raw data into clean, reliable datasets and data models.+Using tools like Claude, Coalesce, and TableauUsing data warehouses like Snowflake, AWS RDS, AWS DynamoDBAlso incorporating other data sources from AWS S3, like csv, Json, and parquet files.Develop data dictionaries, semantic layers, and data catalogsPartner with Product, Finance, Risk, and Operations teams to define key metrics and enable insights and dashboards for decision-making and predictions.Ensure data quality and integrity through testing, monitoring, and documentationOptimize data pipelines for performance and cost efficiencyTranslate business requirements into data solutions that scale with company growthSupport regulatory and financial reporting needs (e.g., reconciliation, audit readiness)Contribute to data governance, definitions, and metric standardizationWhat You Bring3+ years of experience in an analytics engineering, data analytics, or data engineering roleStrong SQL skills, data analytics skills, ability to interrogate data and derive impactful insights.Experience with Coalesce or similar transformation frameworksExperience with data warehousing (Snowflake)Experience modeling complex datasets (fact/dimension modeling, star schemas)Experience building metrics layers or semantic modelsUnderstanding of ELT pipelines and data orchestration toolsExperience with Python for data processingExperience with version control using Github and Github actionsAbility to translate ambiguous business questions into structured data modelsStrong attention to detail and data accuracyExperience working with cross-functional stakeholdersPreferred QualificationsData Science and Machine Learning hands-on experience.Familiarity with event-driven architectures or streaming dataExperience working with payments dataFamiliarity with concepts like:Authorization & settlement flowsInterchange & feesChargebacks & disputesFraud detection signalsLedgering and reconciliationExposure to compliance or financial reporting requirementsCompensationWe offer a competitive compensation package, including:Base salary ($102,000-$146,900)Performance incentiveEquity opportunitiesComprehensive health, retirement, and lifestyle benefitsThis role is about more than compensation, it’s about the opportunity to transform how small businesses thrive in the digital economy. #J-18808-Ljbffr