Data analyst
Mia
Mia works closely with product and growth teams to transform raw data into clear, practical insights that improve customer outcomes.
Contact information
Education & foundation
2007 - 2011
University of California, Berkeley
B.S. in Statistics with a minor in Computer Science. Focused on predictive modeling, data visualization, and experimental design. Completed capstone research on customer retention modeling for SaaS products.
Professional experience
2013 - 2019
Microsoft
Worked as a Senior Data Analyst in the cloud productivity division. Built KPI frameworks used by product and leadership teams, and partnered with engineering to improve activation, retention, and time-to-value metrics across key features.
Current role
2020 - Present
Nexsas
Leads analytics strategy for automation and AI workflows. Owns the analytics lifecycle from event instrumentation to executive reporting, ensuring product decisions are grounded in reliable data and measurable outcomes.
Key responsibilities
- Define and maintain core product and growth KPIs
- Design and analyze A/B tests for onboarding and engagement flows
- Build self-serve dashboards for cross-functional teams
- Audit data quality across tracking, pipelines, and reporting layers
- Partner with product managers on roadmap prioritization using user behavior insights
Our core values
Collaboration
We work together across disciplines to build better products and support each other.
Integrity
We are transparent, accountable, and committed to doing the right thing for our users.
Innovation
We ship quickly, learn from real usage, and keep raising the bar on what automation can do.
Inclusion
We value diverse perspectives and create a place where everyone can contribute and grow.
