Blue Yonder

Sr Business Analytics Analyst - Data Analyst

Blue Yonder · Bengaluru, Karnataka, India

Software Development · 5,001-10,000 employees

13 h ago Closes in 6d
Senior (5-10 yrs) Full-time India
Log in to apply, save this posting, or score it against your profile with AI.

About the role

The role involves leading the delivery of data and AI solutions by collaborating with business units to translate goals into high-impact use cases. You will also champion the integration of generative AI and automation while maintaining robust data architecture and documentation.

What they look for

SQL Data Modeling Generative AI LLM APIs Predictive Modeling Cloud Data Platforms Data Governance Solution Architecture Data Pipelines Business Analytics Stakeholder Engagement Dashboarding Semantic Modeling Data Solutions Automation

Requirements

Candidates must have 5-7 years of experience in data solutions and advanced analytics with expertise in SQL and dimensional data modeling. A bachelor's or master's degree in a quantitative or business-related discipline is required, along with strong stakeholder engagement skills.

Full description

Scope:

  • We are looking for a Senior Data Solutions Analyst to independently own data solution delivery across key business domains. In this forward-deployed role, you will sit at the intersection of AI and Data, acting as a catalyst for company-wide transformation. You will serve as a trusted advisor to business stakeholders, contribute to solution architecture, and bridge the gap between technical data capabilities, emerging AI technologies, and strategic business outcomes.

What You Will Do

  • Forward-Deployed Collaboration: Embed directly with global business units to translate ambiguous goals into robust, and high-impact AI/Data use cases.
  • AI-Driven Transformation: Champion the integration of generative AI, and automation into core data and business workflows to drive company-wide operational shifts and efficiencies.
  • Data & AI Solutions: Lead the discovery, prototyping, and deployment of innovative AI applications (e.g., LLM-powered tools) alongside traditional scalable dashboards, analytical products, and self-service reporting capabilities.
  • Architecture Contribution: Participate in solution architecture discussions, defining data modeling standards, and integration plans for both traditional data pipelines and modern AI infrastructure.
  • Executive Narratives: Build high-impact dashboards using semantic models that translate complex metrics and algorithmic outputs into clear business insights.
  • Documentation: Maintain comprehensive solution documentation, data dictionaries, and end-user enablement materials.

What we are looking for

  • Experience: 5–7 years in data solutions and advanced analytics, with a proven track record of deploying Data and GenAI solutions in a business context.
  • Education: Bachelor’s or Master’s degree in a quantitative or business-related discipline, or equivalent practical experience.
  • Core Technical Skills: Expert-level SQL, proven dimensional data modeling, experience scaling enterprise-level cloud data platforms, and hands-on experience with LLM APIs or predictive modeling.
  • Change Agent & Soft Skills: Exceptional stakeholder engagement, with a proven track record of leading discovery sessions, translating complex business problems into elegant data solutions, and driving adoption of new AI technologies across non-technical teams.
  • Data Governance: Familiarity with data governance concepts

Our Values

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.