Realtor Agent-posted 7 days ago
Full-time • Mid Level
Onsite • Austin, TX
11-50 employees

We're looking for an experienced Data Analyst with a strong background in analytics and sales/revenue operations, as well as the ability to independently scope out and execute analytics projects, often in collaboration with cross-functional partners. As a trusted partner to the Revenue organization, you will be the vital link between complex data and pivotal business moves, striving to enable and empower data-driven decision making across all aspects of revenue operations including but not limited to sales strategy, sales tactics, sales staffing, customer targeting, retention, care/support, revenue recovery, etc. In this role, you will analyze large and complex data sets, define and track business KPIs, build automated reporting solutions, conduct robust analyses, generate actionable insights, and deliver clear recommendations that inform critical decisions and strategies across the entire "product-to-cash" lifecycle. The ideal candidate is a detail-oriented analytics expert, a self-starter comfortable with ambiguity, and a team player who excels in cross-functional collaborations, with the ability to work in a fast-paced environment and driven by a desire to make things better.

  • Partner closely with business stakeholders to understand/clarify needs and requirements, and translate them into analytical problems.
  • Independently conduct end-to-end data analytical work from data collection, analysis, to the delivery of insights and recommendations.
  • Own and run revenue/sales performance reporting, closely monitor performance KPIs, and carry out deep-dive analysis to explain changes and trends, and surface areas of opportunities.
  • Build and maintain automated reports and dashboards using tools such as Tableau and Google Sheet.
  • Build and grow adoption of self-service solutions that empower stakeholders to access data and insights, and hence accelerate data-driven decision making.
  • Collaborate with revenue stakeholders to develop sales strategies and tactics, measure their performance, and actively explore opportunities to optimize.
  • Regularly present findings and recommendations to stakeholders including senior leaders up to C-suit executives.
  • Influence decision making with robust data, analyses, and insights.
  • Foster a culture of excellence by documenting and implementing processes and best practices that drive operational excellence.
  • Identify and execute on opportunities to leverage AI to aid problem solving, augment productivity, increase efficiency, and scale innovation.
  • Bachelor's Degree in a quantitative field or Data/Business Analytics.
  • 8+ years of relevant experience as a Data Analyst, Sales Operations Analyst, Revenue Operations Analyst, or similar role.
  • SQL proficiency is a must, with 8+ years of experience.
  • Experience with data ETL, data pipelines, and developing analytics data layers.
  • Solid grasp of data governance principles, with proven experience establishing and enforcing standards and mechanisms to ensure data quality.
  • Strong capability to work with complex data sets and perform EDA, descriptive, diagnostic, and predictive analyses.
  • Significant experience creating and maintaining automated reporting using Tableau, Power BI, or similar tools.
  • Experience with cloud-based data environments such as Snowflake and AWS.
  • Experience with sales management or CRM systems such as Salesforce.
  • Excellent written and verbal communication skills, with experience presenting to diverse technical and business audiences at different levels.
  • Proven experience using data and analytics to drive revenue and other business KPIs, and doing so in a proactive manner by actively seeking to identify opportunities.
  • Strong bias towards action with proven track record rallying cross-functional partners to turn insights into actions that drive desired business outcomes.
  • Proven experience in building partnership with and managing stakeholders including senior leaders.
  • Experience managing multiple priorities, responding to urgent data requests, and adapting to changing business needs and priorities.
  • Strong attention to detail with a proven track record of analytical robustness and flawless execution of projects.
  • Master's degree in a quantitative field or Data/Business Analytics.
  • Significant experience supporting revenue/sales functions.
  • Proficiency with a scripting language such as Python or R.
  • Experience in the tech sector, especially marketplace or property tech.
  • Inclusive and Competitive medical, Rx, dental, and vision coverage
  • Family forming benefits
  • 13 Paid Holidays
  • Flexible Time Off
  • 8 hours of paid Volunteer Time off
  • Immediate eligibility into Company 401(k) plan with 3.5% company match
  • Tuition Reimbursement program for degreed and non-degreed programs
  • 1:1 personalized Financial Planning Sessions
  • Student Debt Retirement Savings Match program
  • Free snacks and refreshments in each office location
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