Transform Your Data Into Insights & Actions
Expert analytics to drive data-driven decisions for long-term success.
Transform Your Data Into Insights & Actions
Expert analytics to drive data-driven decisions for long-term success.
Expert analytics to drive data-driven decisions for long-term success.
Expert analytics to drive data-driven decisions for long-term success.
Our mission is to empower organizations to own and leverage their data for strategic decision-making. We are dedicated to partnering with you, not just to build effective, intuitive systems but to equip your team with the knowledge and skills needed to leverage these tools for actionable insights and long-term success. Our goal is to ensure that you not only have access to your data but also the confidence and expertise to use it to its fullest potential.
At Soave Analytics, we believe in integrity, excellence, and collaboration. We are problem solvers and critical thinkers; we go above and beyond simple task execution. We consider ourselves an extension of your data team and partner closely with your internal stakeholders to gain trust, understand your business landscape, ensure data definition alignment, and maintain strong communication. We prioritize data quality and leverage a three-step data validation process to ensure accuracy.

Soave Analytics is led by Rebecca Soave, an analytics professional with over 15 years of corporate and consulting experience, including six years in leadership roles. Holding a master’s degree in business analytics, Rebecca specializes in transforming complex data into clear, actionable insights that drive business success. As a data storyteller and cross-functional team collaborator, she empowers non-technical stakeholders to make informed, data-driven decisions with confidence.






I design, build, and optimize modern data pipelines that ensure reliable, scalable, and analysis-ready data. I help businesses implement stable ETL solutions and build custom Python procedures as needed to automate and streamline data collection. My data engineering work spans Snowflake/AWS, dbt, Google BigQuery, and GitLab—supporting end-to-end workflows from ingestion to model deployment. I have architected bronze/silver/gold data layers, automated reporting pipelines, and streamlined data integration flows for dozens of clients.
I build robust, scalable data models via advanced SQL to support business intelligence, forecasting, and self-service analytics. I clean, transform, and join disparate data from dozens of sources to support advanced data analysis and efficient, accurate BI dashboards. I design data flow diagrams to build and optimize data infrastructures. I partner with stakeholders to understand business goals and specialize in modeling approaches that balance technical accuracy with business usability—ensuring stakeholders always have trustworthy, well-structured data at their fingertips.
I develop intuitive, high-impact BI dashboards in Tableau, Looker, Sigma and more that help leaders quickly understand performance, diagnose problems, and take action. I create fully automated, self-service dashboards that replace manual reporting, improve visibility across the business, and scale analytics across teams. My work includes the development of business KPI scorecards, customer retention and LTV dashboards, merchandising & inventory reporting, marketing performance analytics, and university student-employer engagement and outcome dashboards.
With 15+ years of experience across analytics, merchandising, and digital commerce, I specialize in identifying performance trends, uncovering opportunities, and presenting concise recommendations to executives and cross-functional teams. I conduct deep-dive analyses on customer behavior, marketing, retention, and profit performance, leveraging data visualization and storytelling to translate complex data into clear insights and compelling narratives for executive audiences.
I apply statistical modeling and predictive analytics to solve complex business problems. My experience includes customer segmentation, churn prediction, retention forecasting, regression modeling, optimization models, and advanced SQL/Python/R analyses. I deliver insights through clear visualizations and executive-ready presentations that drive measurable business outcomes—such as improved conversion rates, AOV, retention, and profit.
I have significant experience owning data roadmaps, managing data teams & projects, overseeing analytics programs, and guiding stakeholders through technical decisions. I lead data process optimization initiatives that eliminate manual work, improve data governance, and increase operational efficiency. I help businesses and universities define their analytics vision, prioritize projects, and build scalable analytics capabilities within a single-source of truth.
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Fully insured, including Business Owner’s Insurance, Workers’ Compensation, and Tech E&O with Cyber Liability coverage.
Austin, TX
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