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.






We build AI and Machine Learning models to solve complex business problems with predictive analytics and automated solutions. Our experience spans regression modeling for retention and demand forecasting, classification modeling and deep learning for churn and fraud predictions, cluster modeling for customer segmentation and LTV profiling, and Gen AI RAG Models for domain-specific agents. We specialize in detailed production prompt engineering and feature engineering while leveraging models for advanced insights.
We design, build, and optimize modern data pipelines that ensure reliable, scalable, and analysis-ready data. We help businesses implement stable ETL solutions from trusted partners to automate and streamline data collection. Our data engineering work spans Snowflake/AWS, Google BigQuery, dbt, and GitLab, supporting end-to-end workflows from ingestion to model deployment. Our data source integration experience includes Shopify, GA4, Amplitude, Klaviyo, CRM, ERP, Fulfillment Centers, and various paid ad platforms.
We build robust, scalable data models via advanced SQL to support business intelligence, forecast pacing, AI / ML models, and self-service analytics. We clean, transform, and join disparate data from dozens of sources, including Finance Team budget models, to create a semantic data layer flow and a strong, trusted data foundation. We partner with business stakeholders to document business rules and data definitions, driving KPI governance while integrating this business logic into our final "gold" semantic layer.
We design and build fully automated, self-service dashboards in Tableau, Power BI, Looker, and Sigma that replace manual reporting, improve visibility across the business, and scale analytics across teams. Our work includes the development of KPI scorecards, contribution by sku dashboards, customer retention and LTV waterfalls, customer funnel dashboards, merchandising & inventory reporting, marketing performance analytics, and university student-employer engagement and outcome dashboards.
With 15+ years of experience across analytics, merchandising, buying, and e-commerce, we specialize in identifying performance trends, uncovering opportunities, and presenting concise recommendations to executives and cross-functional teams. We conduct deep-dive analyses on customer behavior, marketing, LTV, retention, and profit performance, leveraging data visualization and storytelling to translate complex data into clear insights, strategic recommendations, and compelling narratives for executive audiences.
We have significant experience building data strategy roadmaps, managing high-performing data teams, overseeing analytics projects, and guiding stakeholders through new or changing data products. We lead data process optimization initiatives that eliminate manual work, improve data governance, and increase operational efficiency. We help businesses and universities define their analytics vision, prioritize and operationalize data projects, and launch scalable self-service data products.
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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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