All mentors

Nick Valiotti

Fractional Chief Data Officer helping founders make data-driven decisions

Paphos, Cyprus (+02:00 UTC) English, Russian, Greekfrom Paphos, Cyprus
Usually responds in 18 hours
Free
Price per hour
15 min30 min60 min
Time Blocks Available
5.00
8 reviews / 12 sessions
Fri
16
Next availability

Bio

I’m a Fractional Chief Data Officer with 15+ years in analytics, working with founders and leadership teams at SaaS and digital companies. I usually come in when data exists, dashboards are built, but decisions still feel unclear. My focus is not tools or reports. It’s helping teams agree on what matters, how it’s measured, and how data supports real business decisions. Typical things I help with: • Defining the right metrics and decision framework • Data and analytics strategy for the next 6–12 months • Aligning product, marketing, and finance around the same numbers • Designing analytics teams, roles, and priorities I often start with a short strategy or assessment phase, and then continue as a Fractional CDO — staying close to leadership while execution is handled by internal teams or partners. Background: PhD in Analytics (Georgia Tech), founder of Valiotti Analytics. Worked across SaaS, FinTech, EdTech, eCommerce, and product-driven businesses.

Expertise

  • Artificial intelligence

    With a PhD in Neural Networks, I specialize in applying AI to solve complex business challenges. I’ve developed chatbots and AI agents to automate routine data analytics tasks, improving efficiency and enabling teams to focus on strategic decisions. From natural language processing to machine learning models, I leverage AI to enhance workflows, driving smarter insights and automating repetitive processes to save time and resources.

  • Data science

    I’m a data consultant with 15+ years of experience in building end-to-end data systems—warehouses, ETL pipelines, BI dashboards, and predictive models. With a PhD in Neural Networks and deep expertise in Python, SQL, and tools like Tableau & Metabase, I help teams unlock growth through smarter analytics. From startups to enterprise, I’ve led projects that drive real impact across FinTech, EdTech, SaaS, Mobile Apps, and beyond.

  • Product analytics

    I specialize in product analytics, helping teams track key metrics like DAU, MAU, and retention in real-time. It is vital to build dashboards that surface user behavior and guide product decisions. From funnel analysis to cohort retention and A/B testing, product data should lead to actionable insights. I’ve worked with cross-functional teams to improve features, boost engagement, and drive growth through a data-informed product development process.

  • Remote work

    I’ve been working remotely for several years, collaborating with global teams across different time zones and cultures. I’m experienced in managing projects, ensuring clear communication, and driving results while working independently or in cross-functional teams. Remote work allows me to bring flexible, high-quality data solutions to clients, no matter where they are.

Toolkit

  • Looker Studio (Google Data Studio) logo

    Looker Studio (Google Data Studio)

    I specialize in Looker Data Studio, building scalable, insightful dashboards tailored to business needs. I've delivered 50+ reports for teams across SaaS, FinTech, and EdTech, helping them track KPIs, uncover trends, and make faster decisions. I focus on clean, intuitive design, efficient data modeling, and seamless integration with BigQuery and other sources. I also guide analysts in mastering Looker for self-serve BI and smarter reporting.

  • MySQL logo

    MySQL

    have advanced expertise in MySQL, using it to design, optimize, and maintain high-performance databases. I specialize in writing complex queries, creating efficient data models, and ensuring data integrity across large-scale systems. I’ve worked extensively with indexing, joins, and query optimization to speed up data retrieval and improve application performance. My experience includes handling complex data transformations and integrating MySQL with BI tools for deeper insights.

  • Python logo

    Python

    Python has been at the core of my work in data engineering, analytics, and science. I use it to build ETL pipelines, automate workflows, develop statistical models, and create custom analytics tools. From data cleaning to ML prototyping, Python enables me to deliver scalable, production-ready solutions. I’ve also led teams and mentored analysts in writing clean, efficient code for real business impact.

  • Tableau logo

    Tableau

    I’m a certified Tableau expert (since 2020) and an official Tableau Partner as of 2024. I’ve built over 100 dashboards for companies across various industries, turning raw data into actionable insights. My work spans everything from executive BI reports to in-depth product and marketing analytics. Beyond building, I mentor data analysts, sharing best practices in dashboard design, data storytelling, and performance optimization in Tableau.

Experience

  • Valiotti Data

    Founder / Fractional CDO

    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).

  • Airnow Media

    Chief Data Officer

    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

  • Tech, E-commerce, Telco products (multi-million users)

    Chief Data Officer / Head of Analytics

    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

My best written content

Made within Glyfada