Data Analytics Engineer

This range is provided by Archwest Capital. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100,000.00 / yr - $125,000.00 / yr

Talent Acquisition Specialist | Human Resource Management | Business Partner | Recruitment Strategist

Essential Functions :

• Design scalable data models across Salesforce and financial / operational sources; maintain a governed semantic layer and lending KPI catalog.
• Develop robust ELT pipelines (SQL / DBT or equivalent) with testing, documentation, and version control.
• Create high-quality Tableau dashboards covering pipeline conversion, production, credit quality, delinquency / charge-offs, DSCR / LTV distributions, and risk scoring explainers.
• Implement data quality checks, SLAs, lineage, and access controls; reconcile analytics to finance source-of-truth.
• Partner with Finance, Capital Markets, and Operations on KPI refinement and ad-hoc analysis.
• Collaborate with engineering on eventing / integration to align analytical and operational data.
• Provide training, office hours, and documentation to improve data literacy across the firm.
• Expert SQL and data modeling; Tableau proficiency (parameters, LODs, row-level security).
• Experience with Salesforce data structures and ingestion methods.
• Strong stakeholder facilitation and documentation practices.
• Excellent problem-solving skills with the ability to think creatively and develop innovative solutions.
• Strong communication and interpersonal skills, with the ability to effectively interact with end-users and technical teams.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to prioritize tasks and manage time efficiently in a fast-paced environment.
• Strong attention to detail with the ability to stay organized and problem solve in a fast-paced environment.
• Capability to build trusting relationships internally and externally and elicit confidence by demonstrating reliability.
• Strong team player with the ability to work effectively in a cooperative and diverse environment.
• Capacity to analyze processes, support change, and think operationally and strategically to achieve business goals.
• Python for data tasks, cohort / variance analysis.
• Cloud data stack, Git workflows, CI / CD for analytics.
• Credit risk or portfolio analytics experience.

Education and Experience :

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