

Nikita Goncharenko
Data Analyst
Nikita Goncharenko is a Belgium-based digital delivery professional who connects analytics, execution, websites, and AI-assisted workflows. As a Data Analyst, he turns messy reporting into trusted KPI views, budget signals, retention analysis, and decision support that teams can act on.
Data
Operational reports that drive profitable choices








Content from Nikita Goncharenko

Building a Data-Driven Mindset

Reporting Marketing Mix: From Dirty Excel to Decision-Ready Insights

Weekly Reporting Routines That Turn Data Into Budget Decisions

Marketing Budget Reporting for Digital Businesses

You’re Missing Half Your Data. Here’s Why That’s Fine.

You’re Scaling the Wrong Customers (Until You Measure Retention)

Retention Marketing Reporting: How to Actually Measure Customer Value

Reactivation Looks Good Until You See Who Came Back

Reporting engagement — are you paying attention?
Big Achievements
Business outcomes with clear numbers
100K EUR+
Cost savings in 2024-2025
Removed non-essential costs and prioritized initiatives with clear commercial impact.
3
Data and platform migrations
Delivered three complex migrations in 2025 while protecting continuity and operational speed.
150+
Technical tickets completed in 2025
Completed 150+ tickets using Odoo Project and JIRA with structured documentation of delivery history.
Credentials
Relevant learning for Data Analyst
Power BI
Professional certificate
SQL
Professional certificate
Python
Professional certificate
Advanced Excel
Professional certificate
Google Data Analytics Certificate
Professional certificate
Google Business Intelligence Certificate
Professional certificate
Google Analytics 4
Professional certificate
Google Tag Manager
Professional certificate
FAQ
Quick answers for Data Analyst
Focused answers for this role page. Open only what you need.
What kind of reporting work do you focus on?
I focus on KPI systems, budget reporting, retention views, cohort logic, and reporting routines that help teams decide what to change next.
Which tools do you use for analytics?
My practical stack includes Excel, Power BI, SQL, Python, GA4, GTM, Looker Studio, and source exports from business platforms.
How do you make dashboards useful for business decisions?
I start from the decision, not the chart. A good report should show what changed, why it matters, and which action the team should consider.
Do you automate reporting work?
Yes. I use automation when repeated manual reporting creates delays, errors, or unnecessary dependency on one person.
Want a more specific answer?
Ask AI-NikitaAI Nikita
