Director, Sales Reporting & Analytics

RealPage, Inc.•Richardson, TX

About The Position

The Director of Sales Reporting & Analytics is a strategic leader with substantial direct contribution to the evolution of the company’s sales analytics function. This role combines strong people leadership with hands-on ownership of advanced analytics, AI-driven modeling, and performance insight generation. The successful candidate will demonstrate the ability to transform advanced analytics and AI-enabled outputs into a clear, compelling business narrative—delivering actionable recommendations that inform executive decisions, refine sales strategy, and accelerate revenue growth. The successful leader will: Elevate team capability while maintaining substantial personal ownership of high-impact analytics Transform analytics into a strategic advisory function that shapes sales strategy Improve forecast accuracy, territory effectiveness, and sales productivity Reduce manual reporting and ensure data reliability through AI-powered QA and automation Deliver insights through compelling storytelling that drive executive decisions and measurable business outcomes

Requirements

8–12+ years of experience in sales analytics, business intelligence, or revenue operations.
3–5+ years of people management experience.
Demonstrated hands-on expertise in predictive modeling, advanced analytics, and BI tools.
Proficiency with Salesforce, Power BI visualization platform, SQL
Proven ability to deliver executive-level insights and data-driven narratives that influence strategic decisions.
Experience applying AI, machine learning, or automation to analytics and reporting processes.
Understanding of sales KPIs for SDR’s, inside sales, and field sales organizations.
Ability to translate advanced analytics and AI outputs into actionable business insights
Strong executive presence and communication skills
Hypothesis-driven structured thinking with commercial acumen
Leadership in both coaching and substantial individual contribution

Nice To Haves

Experience transforming analytics functions in high-growth or technology-driven organizations.
Familiarity with generative AI applications in business intelligence workflows.
Experience leading reporting or CRM modernization initiatives.

Responsibilities

Lead, mentor, and scale sales analytics team, overseeing resource allocation, project delivery, and stakeholder engagement, with a focus on efficiency, automation, and data accuracy.
Foster a culture that prioritizes insight generation over report production.
Provide technical direction on advanced analytics, AI use cases, and automation strategies.
Balance strategic oversight with substantial personal ownership of critical analytical initiatives.
Own end-to-end reporting deliverables from monthly rep scorecards to manager dashboard to executive and board level reporting.
Serve as architect of scalable analytics frameworks and KPI standardization.
Leverage AI and machine learning to QA and validate sales reporting, ensuring accuracy, consistency, and reliability of data used for decision-making.
Personally design, implement, and scale sales reporting and analytics focused on sales activity, pipeline health, forecasting, deal scoring, and risk identification.
Own the development of executive-ready dashboards and visualizations, with the ability to translate into concise executive-level messaging with defined business implications.
Drive AI‑enabled predictive analytics and recommendation engines to guide sales planning, territory optimization, and coverage.
Conduct deep-dive analyses on sales productivity, segmentation, whitespace opportunities, and performance trends.
Translate complex analytics into clear, compelling narratives that drive strategic action.
Synthesize quantitative findings into concise executive-level messaging with defined business implications.
Present insights to senior leadership in a way that connects data to revenue impact, risk mitigation, and growth strategy.
Move beyond dashboards to articulate the “so what,” “why it matters,” and “what we should do next.”
Ensure every analysis concludes with prioritized, actionable recommendations.
Identify and implement AI and machine learning solutions to reduce manual reporting and elevate insight quality.
Leverage automation and generative AI tools to streamline recurring analysis and reporting workflows.
Build scalable, automated analytics solutions that enable self-service capabilities while maintaining governance and data integrity.
Own and enhance the sales forecasting process using predictive indicators and scenario modeling.
Partner cross-functionally on quota design, territory planning, and capacity modeling.
Improve forecast accuracy and executive confidence through data-backed insights and transparent assumptions.