Translate business requirements into scalable data and analytics solutions through data extraction, transformation, harmonization, modeling, visualization, and AI integration.
Develop reusable data models, reporting frameworks, standards, and best practices that improve consistency, governance, usability, and adoption across the organization.
Work end-to-end from design, develop, and deploy enterprise-standard AI-enabled business intelligence solutions, including conversational analytics, automated insights, smart alerts, guided exploration, and interactive dashboards,
Conduct rigorous testing, validation, quality assurance, and documentation to ensure solutions are accurate, reliable, and fit for business use.
Clearly communicate analytical insights and recommendations while partnering with data engineering, product, and business stakeholders to identify high-value business intelligence opportunities that improve accessibility and decision-making speed.
Data Modeling & Semantic Layer Expertise
Use SQL, Python, cloud data platforms, and artificial intelligence/machine learning (AI/ML) to improve performance, scalability, and automation.
Design and deploy AI/ML solutions for business intelligence, including conversational analytics, predictive alerts, and automated summarization, using relational databases, dimensional modeling, semantic layers such as LookML, and modern business intelligence platforms.
Integrate data from multiple systems and sources to deliver trusted, business-ready insights that support decision-making.
Strong understanding of semantic layers, data warehousing, databases, and cross-platform data connections, with proven experience integrating large datasets to derive actionable insights.
Enhance AI Knowledge and Personal Development
Identify new resources and methods, stay updated with emerging business intelligence, analytics, generative artificial intelligence, and data experience capabilities, and apply external insights to advance AI-enabled analytics workflows for ITQ use cases.
Guide and mentor team members in the development of BI solutions, providing guidance and ensuring adherence to best practices and internal frameworks.
MINIMUM QUALIFICATIONS
Education: Master’s in IT, Computer Science, Statistics, Mathematics, Analytics, or Data Science.
Experience Minimum 5 years of related experience required, with at least 2-3 years specifically focused on designing, developing, and implementing AI/ML solutions within a Business Intelligence context.
Technical Skills
Data Visualization
Strong working experience in data visualization tools such as Power BI, Tableau, or Looker.
Expertise in SQL/BigQuery query writing, and visualization best practices.
Proficiency in Google Cloud Platform (GCP), Advanced Excel, Tableau, and SQL Server.
Programming
Expertise in Python with relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, NLTK, SpaCy) is a plus. experience in LookML is a plus
Soft Skills
Collaborate effectively with global, cross-functional teams while working independently, prioritizing multiple projects, and driving tasks to completion with attention to detail.
Communicate complex technical information clearly, exercise sound judgment with confidential and proprietary data, and apply creative problem-solving skills.
Ability to prioritize and manage multiple projects effectively while executing planned tasks with attention to detail and applying creative problem-solving skills.
PREFERRED QUALIFICATIONS
Major Area of Study: IT, Computer Science, Statistics, Mathematics, Analytics, or Data Science.
Professional Certifications: Power BI, Tableau, Looker, SQL, or cloud analytics certifications
Applicants must meet minimum age qualifications in the country in which the job is located.
