SILVERME - a Russian family brand of 925 sterling silver jewelry
We started our journey in 2000 with wholesale sales and have grown into a strong e-commerce business.
Today, we:
- are in the TOP 3 brands on Wildberries and Ozon
- produce full-cycle jewelry at our own facility in Kostroma
- are in the TOP 15 silver jewelry manufacturers in Russia
- are developing a separate costume jewelry brand
We are currently strengthening our analytics team and looking for a specialist who will help not only analyze data but also develop the company's analytical infrastructure.
Initially, it is necessary to work from the office for quick immersion into processes and getting acquainted with the team. After adaptation, a transition to a hybrid format is possible.
We offer
- Official employment under the Labor Code of the Russian Federation or another format of cooperation.
- Salary is discussed individually depending on experience.
- Schedule: Monday–Friday, 10:00–19:00 (MSK).
- Initially, work in the office, then hybrid.
- Office: Moscow, Dubrovka metro station (5 minutes walk).
- 50% discount on company jewelry.
Responsibilities
- Analyze sales and SKU dynamics on Wildberries and Ozon.
- Analyze the effectiveness of pricing, advertising, promotions, and commercial indicators.
- Identify growth areas, problem zones, and prepare recommendations for the business.
- Develop and maintain reporting in Power BI / Excel.
- Automate regular analytics and data processing.
- Work with marketplace APIs, SQL, and Python.
- Participate in the development of the company's unified analytical infrastructure.
- Interact with 1C, MPStats, MoiSklad, and other data sources.
- Work closely with the commercial team.
What is important
- Experience working as a data analyst, BI analyst, or marketplace analyst.
- Practical experience with Wildberries and Ozon.
- Understanding of SKU economics: sales, profitability, turnover, supply, Out of Stock, demand forecasting.
- Proficient SQL.
- Practical experience with Power BI or similar BI systems.
- Python for data processing and automation.
- Understanding of ETL processes, APIs, data warehouses, and principles of analytical reporting.
- The ability not just to build reports, but to find the reasons for changes in indicators and propose solutions for the business.
- Experience with PostgreSQL, ClickHouse, Google Apps Script, n8n, or other automation tools will be an advantage.
Selection Stages
- Video call with HR.
- Final interview with the manager.
- Job offer.
