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QA Madness
IT; 50–250 співробітників - Дистанційна робота
- Повна зайнятість. Досвід роботи від 1 року.
- SQL
- Користувач 1С
- Python
- Відповідальність
- Користувач ERP-системи
- MS Power BI
- Продаж
- Роздрібна торгівля
- Організація логістики
- Моделювання
- Power Query
- pandas
- Закупівля товарів
- Інвентаризація
- MS Access
Опис вакансії
QA Madness is a European IT service company focusing strongly on QA and cybersecurity. The company was founded in 2013 and is headquartered in Poland. Currently, we are searching for an experienced Data Analyst / BI Developer (Supply Chain & Demand Forecasting) to join our team and to build a system from scratch.
Key Responsibilities:
- Extracting, cleaning, and normalizing data from 1C (sales, inventory, reference data)
- Building demand forecasting models at the SKU level (considering seasonality, promotions, stockouts)
- Calculating procurement needs (MOQ, packaging multiples, bonus conditions, safety stock)
- Developing analytical dashboards in Power BI for logistics and business teams
- Launching the solution into production and further scaling/improving it Tech Stack: Python (pandas, Prophet / statsmodels, scikit-learn) Power BI, Power Query SQL Experience with 1C or other ERP systems
Nice to Have:
- Experience in supply chain/distribution/retail
- Knowledge of demand forecasting methods (ABC analysis, exponential smoothing, Croston)
- Experience working with large catalogs (5,000+ SKUs)
What We Offer:
- Opportunity to build a system from scratch — no legacy or maintaining someone’s code
- Direct impact on business decisions and processes
- Access to full data and close collaboration with stakeholders
- Flexible working schedule
- Format: remote or hybrid
- Competitive compensation (discussed individually)
Steps of the interview process:
STEP 1: Send your resume and complete the questionnaire
STEP 2: Go through the screening interview with a Tech Recruiter
STEP 3: Tech interview
STEP 4: Interview with a client
Please note that this job is a full-time position, and it is relevant only if you meet all requirements. Any candidate who fails to meet the requirements will not be considered for the job.
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