Ivan Brigida

Business Development Executive

Dublin, Ireland15 yrs 8 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Led analytical teams at Google impacting millions of users.
Expert in monetisation strategies and product analytics.
Passionate about bridging data and real-world impact.

Stackforce AI infers this person is a Data-Driven Product Analyst specializing in Tech and Online Advertising.

Contact

Skills

Core Skills

Data Analysis & VisualizationMachine Learning ApplicationsMonetisation StrategyProduct AnalyticsMarket AnalysisBusiness IntelligenceBusiness AnalysisData AnalysisOnline AdvertisingFinancial ModelingFinancial Analysis

Other Skills

Extract, Transform, Load (ETL)Team LeadershipBusiness Intelligence (BI)SQL / Python / R / BigQueryForecasting & EconometricsLeadership & Stakeholder ManagementProduct AnalysisColabConsultingCommunicationAnalytical SkillsData AnalyticsData MiningSQLSales

About

Tech Lead and Senior Business/Product Analyst with 10+ years of experience at the intersection of data, product, and strategy. I help global businesses turn complex datasets into actionable insights — from econometric modeling and machine learning to monetisation strategy and product analytics. At Google, I’ve led analytical teams, driven product decisions for AdSense and AdMob, and built scalable solutions impacting millions of users. Beyond work, I share insights on investing and Python programming at pythoninvest.com and write about sailing at realmistic.org. Passionate about building bridges between data, strategy, and real-world impact.

Experience

15 yrs 8 mos

Total Experience

7 yrs 10 mos

Average Tenure

11 yrs 8 mos

Current Experience

Google

5 roles

Analytical Team Lead and Snr. Business Analyst (Apps), Online Partnerships Group EMEA

Promoted

Nov 2022 – Present · 3 yrs 6 mos

Developed and deployed ML applications for vendorization of business operations, leveraging an innovative call-analysis approach with Gemini API — which improved pitch quality and win rate, delivered structured product feedback, and optimized the partner narrative (what to pitch and how to position it).
Led a team of 4 analysts delivering insights for apps, scaled acquisition, and marketing — supporting business growth across EMEA
Expanded business coverage areas, driving product adoption and improving monetisation strategies for top-tier apps.
Conducted deep-dive analyses (e.g., churn modeling, H5 games, unfilled inventory) that influenced product and engineering roadmaps.

Extract, Transform, Load (ETL)Team LeadershipBusiness Intelligence (BI)Data Analysis & VisualizationSQL / Python / R / BigQueryProduct Analytics+4

Product Analyst for Web monetisation (AdSense)

Promoted

Feb 2022 – Oct 2022 · 8 mos

AdSense product analyst:
helping PMs and Eng teams to work on the Product
strategic brainstorm and macro overview of the business
analytical deep-dives (Churn analysis, H5Games analysis, Unfilled inventory from Ad Logs)
market sizing of new ad format (sellside shopping)

Product AnalysisProduct AnalyticsMarket Analysis

Business Analyst (Apps), Online Partnerships Group EMEA

Nov 2018 – Oct 2022 · 3 yrs 11 mos

Business Intelligence for Apps partnerships monetisation with Google (Admob and Google Ad Manager)

Business IntelligenceBusiness AnalysisColab

Mobile UX/Speed Manager (Russia)

Jan 2017 – Oct 2018 · 1 yr 9 mos

Mission: improve mobile website experience for the priority clients of Google in Russia
Day-to-day activity:
perform analysis of the mobile websites, make recommendations to improve mobile speed, UX, conversion optimisation, A/B testing, using new web technologies as Accelerated Mobile Pages (AMP), Progressive Web Apps (PWA), Payments;
create external case study publications on mobile site transformation: https://www.thinkwithgoogle.com/intl/ru-ru/case-study/koeffitsient-konversii-kupivipru-na-mobilnykh-ustroistvakh-vyros-na-52-za-schet-snizheniia-vremeni-zagruzki-saita/
organise scaled events (conference and competition formats) on mobile web in Russia:
a) Mobile Speed Competition
b) Accelerated Mobile Pages Competition, Nov 2017
c) Progressive Web Apps Competition, Nov 2017

ConsultingCommunication

Senior Industry Analyst

Jul 2014 – Jan 2017 · 2 yrs 6 mos

The sales team and customers support in :
market structure and growth trends estimation (sectors and competitors analysis)
primary research, e.g. customer path to purchase
search behavior across different geos and industries
econometric models on multi-channel efficiency (ROI) and optimal split
Google ad products analytics (Search ads, Mobile ads,YouTube, GDN)

Data AnalysisAnalytical SkillsData AnalyticsData MiningSQLSales+1

Sberbank

Lead Economist (Department of Finance)

Jun 2010 – Jun 2014 · 4 yrs · Moscow

Doing Management Information System (MIS) for Sberbank.
Daily activities:
financial modelling (balance sheet, P&L sheet, profit center accounting);
creation and visualization of financial reports for top management;
business rules collection and approval, data consistency and data model description;
analytic requests from top management (e.g. factor analysis of commercial loan and deposit metrics);
communication with outer specialists on projects (consultants, software vendors, subsidiaries);
Achievements:
managed team for creation MIS reporting module for the Department of Troubled Assets in Sberbank;
built profit accounting models all for corporate deposits deals in the Moscow region, all microcredit (about
200K) deals in Russia, retail deposit portfolio, trade finance;
provided all data on profit KPIs (on businesses corresponding to models) for top management and
operational presentations during last 1 year;
developed visual reports in spheres of corporate loans (volume dynamics, growth factor analysis, non-performing loans and provision ratio...), problem assets, retail block (new deposit dynamics, new credits dynamics);
collected high-level functional business rules for MIS from major business divisions;
consulted on the data model and calculations methodology for a corporate liabilities project (Sberbank’s central DWH on Teradata);
developed model for forecast planning of volumes and profits for retail deposits (for business planning process);

DatabasesFinancial ModelingFinancial AnalysisCorporate Finance

Institute for system programming

Test and research engineer (Software Engineering)

Sep 2005 – Sep 2008 · 3 yrs · Moscow

participated in several testing campaigns: requirements verification in Tau Developer software tool
(produced by Telelogic, an IBM company);
offered and implemented a new algorithm in Compare and Merge module;
made a research diploma in a Computer Science field: Comparing attribute trees; UML 2.1 standard;