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Business Analytics Consultant

Hybrid in Ukraine: Kyiv
Business Analytics Consulting
hot

We are seeking a dynamic and analytical Business Analytics Consultant to collaborate with stakeholders, define data-driven strategies, and deliver impactful solutions that enhance business value.

You will play a critical role in shaping product strategy, defining success metrics, and driving consulting engagements across data-intensive projects.

Responsibilities
  • Collaborate with stakeholders to establish product strategies and align them with business value
  • Define target outcomes and track progress against established success metrics
  • Work with Solution Architects and Technical Leads to identify optimal data solutions
  • Facilitate presale activities and manage consulting projects to ensure successful delivery
  • Communicate product objectives and priorities effectively with all stakeholders
  • Maintain an organized, prioritized, and clear product backlog
  • Align with customer needs while cooperating with internal product teams
  • Identify opportunities for data collection, integration, and optimization
  • Assess data availability and quality, and lead improvements within client organizations
  • Establish and guide data governance best practices where needed
  • Stay current with evolving data and analytics trends to advise stakeholders effectively
Requirements
  • 5+ years’ experience delivering digital B2B or internal data-driven products (e.g., data lake, DWH, BI solutions)
  • Strong understanding of data architecture, data elements, and lifecycle management
  • Expertise in analytics and decision-making based on metrics and data
  • Proficiency in structuring and organizing efforts for effective delivery
  • Demonstrated ability to effectively communicate with both business and technical audiences
  • Familiarity with design thinking, agile product management, and prioritization frameworks
  • Fluency in written and spoken English at a C1 level
Nice to have
  • Background in data governance processes or frameworks
  • Familiarity with advanced analytics, machine learning, or automation tools
  • Understanding of the latest big data platforms, cloud environments, or visualization tools
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