Nick Valiotti

Co-Founder

New York City, New York, United States15 yrs 3 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Transformed data chaos into decision-making systems.
  • Scaled revenue for clients by up to 25x.
  • Built trusted analytics functions for leadership.
Stackforce AI infers this person is a Data Strategy Expert in SaaS and AdTech industries.

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Skills

Core Skills

Data StrategyAnalytics Organization DesignData AnalyticsBusiness IntelligenceAnalytics Leadership

Other Skills

Data EngineeringMetrics OwnershipDigital StrategyForecastingData StrategiesData ScienceData WarehousingData ModelingData MiningStatistical ModelingEconomic ModelingSegmentationBusiness AnalysisCustomer RelationsSQL

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

Valiotti analytics

Founder / Fractional CDO

Jan 2019Present · 7 yrs 2 mos · Remote

  • 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).
Data AnalyticsData EngineeringData StrategyAnalytics Organization Design

Airnow media

Chief Data Officer

Nov 2016Jan 2019 · 2 yrs 2 mos · United States · Hybrid

  • 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
Digital StrategyForecastingData AnalyticsBusiness Intelligence

Tech, e-commerce, telco products (multi-million users)

Chief Data Officer / Head of Analytics

Jan 2011Nov 2016 · 5 yrs 10 mos · On-site

  • 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
Data AnalyticsData StrategiesAnalytics LeadershipData Strategy

Education

Georgia Institute of Technology

Master of Science - MS — Analytics

Jan 2021Jun 2024

Saint Petersburg State University

Doctor of Philosophy (Ph.D.) — Mathematical methods in economics

Jan 2010Jan 2014

Saint Petersburg State University

Master's degree — Information systems in economics

Jan 2005Jan 2010

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