Maksym

MAKSYM MARKOV
JUNIOR DATA ANALYST
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Summary
Analytical and detail-oriented Junior Data Analyst with a strong foundation in mathematics, statistics and data
interpretation. Skilled in SQL, Python, Tableau, and advanced in Excel, with hands-on experience in building
dashboards, conducting funnel and conversion analysis, and delivering actionable insights. Adept at
transforming raw data into meaningful stories that drive decision-making. Over 10 years of experience in
operations and reporting within the banking sector, achieving measurable process improvements, cost
reductions, and resource optimization.

Skills
 SQL  Amplitude
 MS Power BI  Excel
 Tableau  A/B Testing
 BigQuery  Looker Studio
 Google Analytics  Google Sheets
 Python  Data Visualization
 Jupyter Notebook

Project Experience
eCommerce Funnel Dashboard
A project goal:
The main task was to identify where users drop off in the funnel and which traffic sources, devices,
and countries generate the highest conversions and orders.
Tools: SQL (Google BigQuery), Tableau, Data Visualization, Funnel analysis, Conversion rate (CR)
calculation.
What I did:
 Collected, cleaned, and transformed GA4 data in BigQuery, ensuring accuracy for funnel and
performance analysis.
 Built calculated fields for conversion rate (CR), churn percentages, and revenue metrics to provide
precise KPI measurement.
 Designed interactive Tableau dashboards with dynamic filters (source, medium, campaign, device,
geography, language) for multidimensional insights.
 Identified a critical 80% drop-off at the “View Item → Add to Cart” stage, recommending UX changes
that improved engagement.
 Delivered insights on device contribution (Desktop 56.8% vs. Tablet 2.1%) and traffic source
performance, guiding marketing investment.
 Integrated funnel visualization to compare traffic channels, highlighting Google Ads as the top-
performing driver of conversions.
 Developed automated data pipelines to refresh dashboards weekly, reducing manual reporting time by
70%.
 Presented findings to stakeholders, translating technical outputs into clear business recommendations
for UX and marketing teams.
Result:
Built an end-to-end funnel analysis solution that identified key drop-offs (80%) and guided UX and
marketing optimizations.
Analysis of marketing campaigns
A project focused on analyzing the performance of digital marketing campaigns through interactive
dashboards in Google Looker Studio.
Tools: SQL, DBeaver, PostgreSQL, Data Cleaning, Google Looker Studio, Data Visualization.
What I did:
 Built SQL queries for extracting advertising data from PostgreSQL, ensuring accuracy for marketing
campaign analysis.
 Designed interactive Looker Studio dashboards, uncovering performance trends and patterns across
campaigns.
 Visualized key marketing metrics (Ad Spend, CPC, CPM, CTR, ROMI), improving decision-making in
ad budget allocation.
Result:
Gained a clear understanding of marketing campaign performance and identified the most
effective timeframes and factors influencing ROMI.

Work Experience

JSC Sense Bank | Senior Cash in Transit Officer
Dec 2010 – Jan 2025
 Prepared and submitted monthly analytical and reporting packages on cash volumes, ATM uptime,
and branch performance, improving resource allocation and efficiency by 15%.
 Conducted trend and variance analysis to identify inefficiencies, optimizing routes and schedules to cut
fuel costs by 12%.
 Ensured reliable cash collection from 92+ corporate and retail clients daily, reducing fund availability
delays by 8%.
 Oversaw secure cash loading and unloading for 88 ATMs per month, maintaining 99.9% uptime and
seamless access for 10,000+ customers.
 Coordinated daily valuables transportation across branches, achieving zero incidents of loss or delay
during tenure.
 Trained and mentored new staff in compliance, safety, and reporting procedures, improving
operational accuracy by 20%.
 Partnered with IT and operations teams to enhance reporting systems, enabling real-time monitoring
of branch performance metrics.
 Implemented improved verification protocols, reducing transaction discrepancies by 10% and ensuring
full compliance with national standards.

Educations
IT School GoIT — Product Analytics and Applied Statistics – Master’s Level Program
Oct 2025 – Dec 2025
IT School GoIT — Data Analytics
Mar 2025 – Aug 2025
Odesa I. Mechnykov National University — Master's in Mathematics
Sep 2019 – Dec 2020
Odesa I. Mechnykov National University — Bachelor's in Mathematics
Sep 1999 – Jun 2003

Languages
English — Upper — Intermediate
Ukrainian — Native
#HRJ #30d12b69-a7a0-4af0 -99c8-231b 2c3b2779#