Data Analytics Engineer

Summary:

We are seeking a Data Analytics Engineer to join our team who serves as a hybrid Database Administrator, Data Engineer, and Data Analyst, responsible for managing core data infrastructure, developing and maintaining ETL pipelines, and delivering high-quality analytics and visual insights to executive stakeholders. This role bridges technical execution with business intelligence, ensuring that data across Salesforce, financial, and operational systems is accurate, accessible, and strategically presented.

Essential Functions

• Database Administration: Oversee and maintain database servers, ensuring performance, reliability, and security. Manage user access, backups, and data recovery processes while optimizing queries and database operations.
• Data Engineering (ELT): Design, build, and maintain robust ELT pipelines (SQL/DBT or equivalent) to extract, transform, and load data across Salesforce, financial, and operational sources. Ensure data lineage, integrity, and governance throughout all workflows.
• Data Modeling & Governance: Design scalable data models and maintain a governed semantic layer and KPI catalog aligned with business objectives. Define data quality checks, SLAs, and lineage standards to reconcile analytics with finance source-of-truth systems.
• Analytics & Reporting: Develop and manage executive-facing Tableau dashboards and visualizations covering key lending and operational metrics — including pipeline conversion, production, credit quality, delinquency/charge-offs, DSCR, and LTV distributions.
• Presentation & Insights: Translate complex datasets into clear, compelling stories and presentations for leadership and cross-functional teams. Communicate findings through visual reports and executive summaries to drive strategic decisions.
• Collaboration & Integration: Partner with Finance, Capital Markets, and Operations to refine KPIs and perform ad-hoc analyses. Collaborate with Engineering to align analytical and operational data, manage integrations, and support system scalability.
• Enablement & Training: Conduct training sessions, create documentation, and host data office hours to promote data literacy and empower business users across the organization.

Competencies & Skills

• Advanced SQL proficiency with strong data modeling, query optimization, and database administration experience (PostgreSQL, MySQL, or equivalent).
• Hands-on experience managing and maintaining database servers and optimizing performance.
• Proficiency with ETL/ELT frameworks (DBT, Airflow, or similar) and cloud data stacks (AWS/Azure/GCP).
• Strong Tableau skills — parameters, LODs, row-level security, executive-level dashboard design, and storytelling through data.
• Experience with Salesforce data structures and ingestion methods.
• Proven ability to communicate and present technical data insights to executive and non-technical stakeholders.
• Solid understanding of lending/financial analytics (pipeline conversion, delinquency, DSCR, LTV).
• Working knowledge of Python for analytics tasks, cohort analysis, and variance reporting.
• Familiarity with version control (Git), CI/CD for analytics, and data governance frameworks.
• Excellent organizational, documentation, and communication skills with a strong sense of ownership and follow-through.

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Analytics, or a related field.
• 3 years of experience in data analytics, data engineering, or database administration roles.
• Experience supporting executive-level reporting and maintaining database infrastructure in a fast-paced environment.