Tim Tikhomirov Book a call

Head of Analytics at Mercuryo Paphos, Cyprus

Tim Tikhomirov

I build analytics foundations for fintech and crypto companies: warehouses, pipelines and AI-ready data, delivered in weeks.

By day I lead the analytics and data engineering teams at Mercuryo. I also take a small number of fixed-scope data platform builds.

Book a 30-minute intro call Experience & CV
Tim Tikhomirov standing by a mountain lake with autumn larches behind him
Faster median BI response
10×
Mercuryo
90-day dashboards, which used to crash
~2 s
Payments client · case study
Margin added by dynamic pricing
~20%
ZION Development

Work with me

An analytics foundation in weeks, not quarters.

For companies that have outgrown spreadsheets and dashboards running on the production database. The result is data your team and your AI agents can both use.

Sound familiar?

Built for fintech, crypto and payments companies, roughly seed to Series B.

What you get Foundation build

How it works

  1. Intro call 30 minutes on your sources, your reporting pain, and what “done” looks like.
  2. Fixed-scope proposal Clear deliverables, timeline and price.
  3. Build Typically one to two weeks.
  4. Handover Documentation and a walkthrough, with optional monthly support.

Start with a 30-minute call. You’ll know by the end of it whether a build fits.

Book a 30-minute call

Case study

From crashing dashboards to answers in seconds.

Building the Analytics Foundation for a Payments Business

Payments company ~32 hours of work NDA

Reporting for executives, finance and operations ran straight off the production database, and anything longer than a week of data crashed it.

  • More than 10× faster reporting
  • Production protected from reporting load
  • An AI-ready semantic layer

Read the full case study

Dashboard load time, before and after
PeriodBeforeFirst openRepeat
24 hours30+ s2.5 s2.3 s
7 daysCrashes2.3 s2.0 s
30 daysCrashes4.6 s2.5 s
90 daysCrashes11.7 s1.9 s
The best data does more than look backwards. It shows you what’s about to move.
From my Mercuryo interview on spotting trends early, how teams use data and which parts of analytics AI can handle. Read the interview

Experience

Leading analytics teams in fintech and crypto.

Download CV (PDF)

  1. Jan 2025 – Present

    Limassol, Cyprus

    Head of Analytics Mercuryo

    Highlights

    I lead the analytics and data engineering teams and set the company’s data strategy.

    • Built event analytics on GCP using BigQuery and Cloud Run for collection, and Mixpanel for customer analytics.
    • Made median BI response times 10× faster and led the warehouse migration from Exasol to StarRocks.
    • Introduced an A/B testing framework for company experiments.
    • Increased requests resolved per analyst 2.5× in six months and improved delivery speed 50%.
    • Grew the team, assigned responsibilities and appointed leads for data engineering and analytics.
    • Moved from Kanban to sprints so other teams could see what we were working on and when to expect it.
    • Introduced AI coding and automation tools to the team.
    • Took part in external regulatory audits and improved reporting.

  2. Nov 2020 – Dec 2024

    Tbilisi, Georgia

    Head of Analytics ZION Development

    Highlights

    I managed the analytics team and worked on data architecture and pricing.

    • Built a team of four analysts, most of whom stayed with me over three years; the team averaged 5.8 out of 6 in 360 reviews.
    • Mentored two analysts from junior to middle and middle-plus.
    • As pricing lead, used competitor analysis to grow B2B purchases up to 3×.
    • Built a dynamic pricing MVP for both B2C and B2B that added roughly 20% margin.
    • Built BI dashboards used across all business departments, with 2,000+ monthly views.
    • Worked with business and engineering teams as the primary designer of MVPs that reached over 200,000 monthly active users.

  3. May 2019 – Oct 2020

    Tbilisi, Georgia

    Data Analyst / Analytics Engineer ZION Development

    Highlights

    I built the company’s analytics warehouse and reporting systems.

    • Built the warehouse used as the company’s main source of analytics data.
    • Built a system to collect competitor data through APIs and web scraping.
    • Built real-time analytics and automated KPI reports for business departments.
    • Developed GAAP-based financial reporting for cryptocurrency operations.

  4. Apr 2018 – May 2019

    Web Analyst / SEO Digital marketing agency

    My first analytics role, working on search, website traffic and content performance.

Education

  • BSc Business Informatics, North-West Academy of Public Administration (2014–2018), graduated with honours.
  • Certified in Advanced SQL, Python and statistics for financial analysis, and database internals.
  • English (full professional), Russian (native).

Off the clock

Side projects and music.

Side project

daily-health-coach

A tool I run myself that collects recovery, sleep and strain data from WHOOP, plus nutrition data from Yazio. Claude uses it to write daily summaries and weekly reports with charts, sent to me on Telegram.

  • PowerShell
  • Claude
  • WHOOP API
  • Telegram

Contact

Let’s talk.

Have a data platform to build?

A 30-minute call is the quickest way to find out whether a build fits.

Book a call

Hiring for an analytics leadership role?

My CV and full experience are above. I’m happy to talk.

LinkedIn CV (PDF)