Nick Valiotti
Fractional CDO | Helping Scaling Tech founders turn data into faster decisions | Founder @ Valiotti Analytics
About
Founders don’t lack data.
They lack confidence to make decisions with it.
I work as a Fractional Chief Data Officer for scaling tech companies, when analytics becomes business-critical — but hiring a full-time CDO is too early or too risky.
I’m the founder of Valiotti Analytics, a data consultancy trusted by 50+ teams globally. I work with companies across the US and Europe.
I have a PhD in data science, which helps when problems are complex — but my work is always grounded in business outcomes.
What I typically change:
• Data & analytics strategy aligned with business goals
• Clear metrics and decision frameworks
• Analytics org design (people, tools, processes)
• Systems that teams actually use, not just maintain
Before consulting, I was an in-house operator. I’ve lived through messy data, slow reports, and dashboards nobody trusts — and I know why “just build another report” never works.
Since 2019, I’ve helped marketing, sales, and product teams:
→ Scale revenue up to 25x
→ Eliminate manual reporting and data chaos
→ Turn analytics into a decision-making system, not a cost center
I usually work in a fractional format (3–12 months), directly with CEOs, CPOs, and CMOs — with optional execution support from my team.
Experience
Founder / Fractional CDO
Valiotti Analytics
Jan 2019 – Present(7 yrs 4 mos)
Fractional CDO for scaling tech companies when analytics becomes business-critical. I work with founders and exec teams to turn fragmented data into a decision-making system — not dashboards for reporting’s sake. What I typically own: • Data & analytics strategy tied to business goals • Metrics ownership and decision frameworks • Analytics org design (people, tools, processes) • Aligning product, marketing, and sales data into one narrative Impact across engagements: • Helped teams scale revenue up to 25x with decision-ready analytics • Replaced manual reporting with automated, trusted metrics • Reduced data debates by establishing clear source-of-truth ownership • Built analytics functions used daily by leadership, not just analysts Optional execution: Delivery via my team when needed (data engineering, BI, analytics).
Chief Data Officer
Airnow Media · United States
Nov 2016 – Jan 2019(2 yrs 3 mos)
Owned data and analytics at a fast-growing AdTech platform operating at scale. Worked closely with product, growth, and executive teams to turn data into commercial decisions. What I was responsible for: • Built and led a data team (data scientists, analysts) • Designed and evolved the BI & DWH architecture through multiple growth stages • Owned product and revenue analytics, including forecasting and experimentation • Established metrics and reporting trusted by leadership What changed as a result: • Replaced fragmented reporting with a single, trusted analytics layer • Enabled faster product and growth decisions with reliable metrics • Supported company growth through multiple scaling phases
Chief Data Officer / Head of Analytics
Tech, E-commerce, Telco products (multi-million users)
Jan 2011 – Nov 2016(5 yrs 11 mos)
Before consulting, I spent years as an in-house data leader. I was responsible for analytics in fast-growing products where decisions had real commercial impact. What I did in practice: • Built and scaled data teams (up to ~20 people) • Designed BI & DWH architectures supporting growth stages from zero-to-one to scale • Owned forecasting, retention, churn, and customer analytics • Worked directly with marketing, product, and exec teams on revenue-driven decisions
Education
Georgia Institute of Technology
Master of Science - MS, Analytics
Jan 2021 – Jun 2024
Saint Petersburg State University
Doctor of Philosophy (Ph.D.), Mathematical methods in economics
2010 – 2014
Saint Petersburg State University
Master's degree, Information systems in economics
2005 – 2010
Expertise
Specialties
