Director, Business Analytics

Role Overview
DLRdmv is growing quickly and needs a leader who can connect data, systems, and operating metrics. Reporting to the CFO, the Director of Business Analytics will build the analytics foundation that powers planning, forecasting, reporting, and decision-making across the business. This role partners closely with senior leaders across functions to turn data into clear metrics, actionable insights, and scalable reporting. The ideal candidate combines strong technical depth, sound business judgment, and the ability to drive follow-through.

Why This Role

• Build the company's analytics foundation from the ground up

• Partner across Sales, Marketing, Customer Success, Finance, and Operations

• Focus on building and making a business impact, not people management

• Use the data and partnership with leaders to unearth key business questions that have not been asked

Major Responsibilities

Business Partnering

• Serve as a strategic partner to business leadership by translating business questions, priorities, and decisions into clear, actionable requirements for the data and analytics team

• Coordinate effectively between executive stakeholders, operational teams, and technical teams to align analytics initiatives with business goals

• Present insights, dashboards, business performance trends, and recommendations to senior leadership and board-level audiences

• Proactively identify trends, risks, opportunities, and operational gaps before they surface through standard reporting channels

• Drive adoption of BI dashboards, self-service analytics, and AI-enabled decision-making tools across the organization

• Help establish a data-driven culture by improving analytical fluency and decision-making processes company-wide

Data & Analytics Delivery

• Lead the design, development, and optimization of scalable analytics solutions and reporting infrastructure

• Write and optimize complex SQL queries within platforms like Snowflake to support high-quality analytics and operational reporting Build and own dashboards, reports, and self-service analytics capabilities for business stakeholders

• Partner with Data Engineering on data models, transformations and reporting structures

• Ensure data quality, consistency, governance, and documentation are maintained across all analytics assets

• Drive BI adoption through enablement, training, support and stakeholder engagement

Platform & Infrastructure Ownership

• Own the vision, architecture, and governance of the analytics layer, reporting views, and BI

• Identify gaps in reporting capabilities and lead initiatives to expand analytics maturity and scalability propose solutions, and deliver new data capabilities

• Establish best practices and standards for analytics development, testing, QA, and documentation

• Improve enterprise-wide data literacy and promote best practices for data-informed decision-making across the company

• Evaluate and implement modern analytics tools, AI capabilities, and reporting technologies that improve organizational effectiveness

Experience & Qualifications

Required

• 5+ years of experience in analytics, business intelligence, data strategy, or a related field, including experience leading cross-functional initiatives

• Advanced SQL expertise with experience developing and maintaining production-grade analytics solutions Hands-on experience with Snowflake or similar cloud data warehouse platforms

• Ability to partner with business leaders and translate strategic objectives into scalable data and analytics solutions

• Very strong experience building dashboards and reports in a modern BI and visualization tools

• Comfort working in a fast-paced, high-growth, or build-stage environment

• Strong communication skills with both technical and executive audiences

• Strong organizational and stakeholder management skills with the ability to influence across functions

Strongly Preferred

• Experience with BI tools such as Thought Spot, Sigma,

• Familiarity with dbt or similar analytics engineering and transformation tools

• Experience supporting Sales, Marketing, Customer Success, or Operations analytics

• Exposure to SaaS metrics such as ARR, NRR, CAC, LTV, and churn

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