Людмила

LIUDMYLA SIBIKOVSKA
Data Analyst

SUMMARY
Analytics professional with 3 years in logistics planning & reporting and 10+
years in retail operations leadership. I automate recurring KPI reporting in
Excel (Power Query) and work with large operational, multi-source datasets.
In my previous role, I reduced reporting time by -38% by improving data
preparation and reporting structure.
Technical skills include SQL, Python (pandas, NumPy), Excel (Power Query),
and data visualization tools. English (B2) for analytical documentation and
written communication.
Seeking a Data Analyst role where I can apply practical analytics and strong
CONTACT business context to improve performance and operational efficiency.

[open contact info](look above in the "contact info" section) PROJECT EXPERIENCE
Metrocar — Funnel & Demand Analysis (Jan 2026 | SQL, Google Sheets,
Telegram
Tableau): identified key drop-offs and waiting-time thresholds driving
[open contact info](look above in the "contact info" section) cancellations; proposed product/ops recommendations.
SQL Analytics — Installment Contracts Reporting (Jul 2025 | SQL Server,
Linkedin
T-SQL, SSMS): built reporting for installment contracts (expected vs paid,
Portfolio debt, overdue buckets) and delivered KPIs for decision-making.
Kyiv, Ukraine — remote/hybrid
WORK EXPERIENCE
HEAD OF THE PLANNING AND ANALYSIS DEPARTMENT OF THE
LOGISTICS SERVICE | MAR 2023 – JAN 2026
KEY COMPETENCIES ATLETICS LLC (32 stores in 15 cities, 800+ emp, 10,300 m² warehouse)

SQL: JOINs, CTEs, window functions Analytics and process optimisation
Developed scalable Excel tools for regular analytics and optimised
BI: Power BI, Tableau, Looker Studio (learning)
weekly reports: through Power Query and a new structure → ~38% time
Spreadsheets: Google Sheets, and errors.
Excel (Power Query, Power Pivot), Automated goods movement reports (5+ sources) → reduced manual
KPIs & reporting: inventory, warehouse processing, improved data accuracy, cut preparation time from 4 hours
to 2 hours, and saved 468 hours per year.
productivity, logistics costs, budgeting
Analysed logistics costs and key KPIs every month: identified deviations,
Tools: Jira, Confluence, Miro, Notion trends, and areas for growth → stable cost control within budget.
Python (learning): pandas, NumPy, Jupyter Initiated route optimisation →-15% in the number of flights, -9% in costs.
I documented business processes for interacting with external suppliers
and participated in developing regulations for accounting for non-
commodity products, simplifying data collection and structuring, which
LANGUAGES ensured the successful implementation of the project.
Resource and product planning, budgeting
English (Upper-Intermediate) Ensured planning of balances and shipments, interaction with related
Ukrainian (Native) departments → order accuracy up to 99%, reduction of logistics costs,
increased productivity.
Implemented the annual budgeting process for the department: cost

EDUCATION analysis, forecasting, performance monitoring → identified opportunities
for optimisation and reduced logistics costs (1-2%).
IT Data Analyst Teamwork and knowledge development
DATA LOVES ACADEMY
Created 10+ instructions/guides for department employees → reduced
onboarding by 27%.
Sep 2025 – Present Supported a culture of knowledge sharing through training materials,
SQL for business analysis
videos, and demonstrations → improved reporting quality.

MS Excel: Advanced Tools
STORE DIRECTOR | OCT 2011 – JUN 2022
DATABI OSTIN LLC (40+ stores across Ukraine, management of a team
2024–2025 of 15 people, now closed)

IT Project Management Managed the store's operations: achieved KPIs, managed staff and sales,
GOIT conducted analytics (Oracle BI).
Developed and implemented instructions during the transition to new
2022
software → became standard and were used by other stores.
Reduced seasonal staff turnover from 85% to <50% by implementing an
Master's degree, business economics
in the goods and services market
adaptation system, mentoring and motivational programmes →
enabled key employees to be retained and recruitment costs to be
KNTEU reduced.
2010 (with honors) Formed a talent pool (2 administrators, 1 director) through internal
training and mentoring →ensured continuity of work and quick filling of
key vacancies.