Position: Data QA Engineer for оnline pricing and market share intelligence platform
Company: SSA Group
Experience required: 1y
Category: QA
English level: intermediate
Published: 2022-02-01T00:00:00+02:00

The role will require daily data quality checks for various type of industries and offer solutions for problematical periods. Any suggestions for automatic improvements will be welcomed and will be developed under your guidance. 

PROJECT
Enterprise solution – class SaaS reporting and analysis framework supports market share operations, price analysis, and the execution of price strategy by delivering real-time price visibility into online sales channels. Clients can monitor the market, quickly identify opportunities and make data-driven decisions that positively impact volume and proﬁt margins. 

CANDIDATE REQUIREMENTS
Sales data or Inventory analysis experience    
Experience with databases (MS SQL Server) 
Experience with analysis of huge datasets (SQL or Excel or BI) 
Understanding of quantitative and qualitative data checks 
Understanding of testing processes, methodologies 
Basic understanding of development process  
English level: Intermediate+  
Quick learner, team player, responsible, punctual, client-oriented.  

WILL BE A PLUS
Experience with Power BI/QlikView/Tableau    

RESPONSIBILITIES
Work to continually improve the quality of the solution 
Review business requirements to write check lists 
Analyze test results, troubleshooting issues and write up defects with a high level of detail  
Use manual testing techniques, to ensure all items are tested prior sending results to clients 
Analyze gaps in data and offer solutions     
Data quality checks via SQL   
Prepare huge data sets for analysis via SQL 
Create check lists with special points for every industry 
Build statistic reports using custom tool 
Report results to clients on weekly basis   
Suggesting ways and approaches for automatic checks/routines/procedures 
Communicate with Sales/Technical teams on weekly basis.