Retail Jobs in Kharkiv, Ukraine (Now Hiring) — 5 open

Are you passionate about transforming complex datasets into actionable insights that shape strategic decisions? This Senior Data Analyst role offers the chance to work on cutting-edge pricing optimization projects for global retail brands, leveraging advanced analytics to drive measurable business impact.

We at Sigma Software are looking for a Senior Data Analyst to join our Data Analytics and Pricing Optimization team. The role is senior-level, full-time, and based in Ukraine, Europe, with flexibility to collaborate with international teams.

Why join us? You’ll work alongside Data Scientists on innovative pricing experiments, contribute to projects that influence market positioning worldwide, and be part of a company that values innovation, global reach, and professional growth.

CUSTOMER
Our customer is a leading retail technology company specializing in pricing optimization software. They partner with global retailers to enhance profitability and competitiveness through data-driven strategies and advanced pricing models. Known for their innovative approach, they deliver solutions that combine business intelligence with cutting-edge algorithms to maximize value for clients.

PROJECT
The project involves implementing and optimizing a sophisticated pricing platform for large-scale retail operations. You’ll work on aligning platform capabilities with client needs, designing pricing experiments, and ensuring adoption through training and support.

Key Technologies: SQL, Python/R, Power BI, Tableau, Looker, Revionics, DemandTec

• nalyze business and pricing processes to identify optimization opportunities
• Conduct discovery sessions to understand client needs and processes
• Recommend improvements based on best practices
• Align platform capabilities with client requirements
• Design and validate pricing experiments with Data Scientists
• Configure pricing platform for optimal client setup
• Deliver user training and ongoing support
• Monitor pricing performance and share insights
• Drive user adoption and recommend strategies to maximize platform value

• 5+ years in pricing analytics, data analysis, or related field
• Strong analytical and problem-solving skills
• Proficiency in Excel/Google Sheets and BI tools (Power BI, Tableau, Looker)
• Advanced SQL skills and proficiency in Python or R
• Understanding of data structures, modeling, and warehousing
• Experience in data cleaning and quality assurance
• Proven delivery of impactful analytics solutions
• Knowledge of market analysis, customer segmentation, and psychological pricing
• Excellent communication and stakeholder management skills
• Upper-Intermediate English or higher

WILL BE A PLUS

• Pricing strategy experience (cost-plus, value-based, competitive models)
• Dynamic pricing and price elasticity analysis
• AI/ML applications in pricing
• Familiarity with pricing intelligence tools
• Experience with retail pricing software
• Knowledge of pricing-related legal restrictions

We are looking for a highly skilled Senior Data Analyst who is passionate about turning complex data into actionable insights, building high-performance analytical solutions, and driving strategic decision-making for large-scale retail operations. You will define and implement pricing strategies, configure the pricing platform, and act as a key advisor for clients. 

Our client is a leading retail pricing platform provider, delivering advanced solutions for price optimization and competitive pricing strategies. They partner with global retailers to enhance profitability and market positioning through data-driven insights and innovative pricing models. 

Job Description

• Analyze business and pricing processes, identifying opportunities for optimization. 

• Conduct business and pricing discovery; gain and maintain deep knowledge of client's business processes and needs. 

• Analyze pricing processes and identify opportunities for optimization; recommend improvements based on best practices. 

• Collaborate with project teams to align platform capabilities with client needs.  

• Design and validate pricing experiments (e.g., A/B tests) with Data Scientists.  

• Configure the pricing platform and ensure optimal setup for client requirements.  

• Deliver user training and provide ongoing pricing support.  

• Monitor and analyze pricing performance, sharing actionable insights.  

• Drive user adoption and recommend strategies to maximize platform value. 

Qualifications

• 5+ years of experience in pricing analytics, data analysis, or a related field. 

• Exceptional analytical and problem-solving skills with a keen eye for detail. 

• Strong skills in Excel/Google Sheets and BI tools (Power BI, Tableau, Looker).  

• Strong expertise in advanced SQL and proficiency in at least one programming language (e.g., Python, R). 

• Solid understanding of data structures, data modeling, and data warehousing concepts. 

• Experience with data cleaning, preprocessing, and ensuring data quality. 

• Experience in implementing and delivering data analytics solutions with measurable business impact. 

• Solid understanding of market analysis, customer segmentation, and psychological pricing.  

• Excellent communication and stakeholder management skills.  

• At least an Upper-Intermediate level of English. 

Would Be a Plus 

• Experience in pricing strategy and analytics (cost-plus, value-based, competitive pricing models). 

• Experience with dynamic pricing and price elasticity analysis.  

• Knowledge of AI/ML applications in pricing.  

• Familiarity with pricing intelligence tools and competitive monitoring platforms. 

• Experience with retail pricing software (e.g., Revionics, DemandTec). 

• Knowledge of pricing-related legal restrictions. 

We welcome individuals from various backgrounds and experiences to join our team. We believe in fostering an inclusive environment that values diversity and encourages collaboration. If you're seeking a place where your unique perspective will be appreciated, we invite you to apply and contribute to our collective success.