Data Analytics Lead

Primeritus•Denver, CO

1d•Remote

About The Position

Primeritus Financial Services is a national provider of repossession management, remarketing, titled, and skip tracing services to the automotive finance industry in the United States and Puerto Rico. Primeritus provides clients with value-added, outsourced repossession management skip tracing investigations, and remarketing services by leveraging a national network of certified agents and unique investigative techniques to quickly and reliably secure customers’ collateral. Through effective leadership, service, and performance, Primeritus Financial Services offers the trifecta of repossession services: locate, recover, and remarket. The Data Analytics Lead shapes how Primeritus uses data. This person architects our BI and analytics platform, teaches business users to think more broadly about their data and find their own answers, and leads a small reporting/analyst team. Success is measured less by the volume of analysis this person personally produces, and more by how well-equipped the business becomes to use data on its own — alongside a scalable analytics architecture and a growing team. This position is remote and open to candidates located in the Denver, CO; Dallas, TX; Nashville, TN; and Raleigh, NC markets.

Requirements

8+ years of experience in BI development, data analysis, or analytics architecture.
Strong expertise in TSQL, Power BI, and DAX; SSIS/SSAS experience a plus.
Experience with Azure Data Services (ADF, Azure SQL Database, Synapse) or an equivalent cloud data platform.
Solid understanding of data warehouse and reporting architecture.
Experience resolving complex data quality and performance issues.
Experience using AI/LLM tools to accelerate analysis, reporting, or documentation (e.g., Copilot in Power BI, AI-assisted SQL or DAX generation).
Understanding of how natural-language/AI query interfaces work over structured data, sufficient to architect, evaluate, and govern them.
Comfort piloting and assessing emerging AI tooling for BI and self-service analytics, and separating real capability from hype.
Ability to analyze large, complex datasets and translate them into meaningful, decision-ready insights.
Strong reporting and visualization skills using Power BI, Power Apps, and Excel.
Excellent written and verbal communication skills; able to explain technical concepts to non-technical audiences.
Experience training, coaching, or upskilling business users on data literacy or analytical best practices.
Demonstrated ability to tell clear, compelling stories from data.
Bachelor's or Master's degree in Computer Science, Statistics, Data Analytics, or a related field (or equivalent experience).
5+ years of experience developing analytics, data platforms, or decision-support solutions.
Experience in financial services or another highly regulated industry.
Experience mentoring or providing technical direction to reporting/analyst staff.
Experience teaching or coaching non-technical business users on how to work with and interpret data.

Nice To Haves

Experience supporting product-led or platform-based organizations.
Familiarity with cloud-native analytics ecosystems.
Relevant cloud, data architecture, or analytics certifications.

Responsibilities

Teach and coach business users on data best practices — how to frame the right questions, interpret results correctly, and avoid common analytical pitfalls.
Help teams look more broadly at their data: encourage thinking beyond the immediate ask to underlying trends, context, and root causes.
Build reusable frameworks, documentation, and training materials that raise the analytical maturity of the organization over time.
Partner with product, analytics, and leadership teams to translate one-off questions into repeatable, self-service answers.
Step in personally on complex or ambiguous analysis when needed, modeling best practice for others to learn from.
Own the target-state vision for Primeritus's BI/analytics architecture and set the roadmap to get there.
Design and evolve data models, reporting structures, and integrations that support product platforms, analytics, and regulatory requirements.
Expand self-service analytics capabilities — including natural-language and AI-assisted query tools — so business users can access and explore their own data with less dependence on the BI team.
Evaluate and recommend BI/analytics tooling and platform improvements as the business and data needs grow.
Monitor, optimize, and troubleshoot reporting and data processing performance.
Lead a small team of reporting/analyst team members — providing direction, technical coaching, and career development.
Review the team's analysis and reporting work for accuracy, clarity, and business relevance.
Serve as the go-to technical authority on analytics and data-related decisions across product and technology teams.
Define and enforce data governance standards, including data quality, lineage, and metadata management.
Ensure architecture and reporting practices support financial-industry compliance, security, privacy, and auditability requirements.
Collaborate with security, risk, and compliance partners to embed controls into architecture and reporting.