Senior Data Analyst

The proposed solution is a federated discovery service that learns how the data is organized: it proposes mappings and rules (LLMs plus constraint miners), tests them against real data inside each platform, and publishes a versioned knowledge graph in which every claim links back to its evidence.

Essential functions

• Analyze existing datasets, pipelines, data models, interfaces, and business rules to understand current-state solutions and dependencies.
• Design, build, refactor, and optimize data models, pipelines, transformations, and analytical datasets.
• Use SQL and data analysis to investigate complex business and operational problems and translate findings into actionable solutions.
• Support modernization and portfolio rationalization by identifying opportunities to consolidate, standardize, migrate, or decommission legacy data solutions.
• Partner with Product Managers, architects, engineers, analysts, and business stakeholders to translate requirements into scalable technical solutions.
• Apply strong data quality, validation, testing, lineage, and documentation practices.
• Develop datasets and data solutions supporting BI and visualization platforms such as Power BI and Tableau

Qualifications

• 5+ years of experience in Data Analytics, Data Engineering, BI, Data Warehousing, or related disciplines.
• Strong SQL skills and experience analyzing large, complex datasets.
• Hands-on experience with data modeling, data pipelines, transformations, and data architecture.
• Experience with modern data/cloud platforms, particularly Databricks, as well as Azure, AWS, or Google Cloud.
• Experience supporting BI and semantic-layer technologies such as Power BI, Tableau, Cognos, SSAS, or Azure Analysis Services.
• Experience using AI-enabled data and development tools, including Databricks Genie and Cursor, to accelerate data analysis, development, and solution delivery.
• Strong analytical and problem-solving skills with the ability to translate business processes and requirements into data solutions.
• Experience working in Agile/Scrum or Kanban delivery environments.
• Ability to work independently, manage deliverables, and communicate effectively with both technical and business stakeholders.
• Supply chain, order fulfillment, order management, or related enterprise data experience is preferred.
• Able to quickly understand an existing enterprise data landscape and become productive with limited oversight.
• Comfortable working hands-on across analysis, solution design, engineering, testing, documentation, and implementation.
• Expected to deliver maintainable solutions aligned with established architecture and data standards.

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.