Overview
Build and enhance AI-enabled business intelligence and analytics solutions for ITQ stakeholders, translating business questions into scalable insight products, decision-support solutions, and trusted data experiences.
What you'll do
- Build and enhance self-service analytics capabilities using enterprise BI technologies.
- 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.
- Use SQL, Python, cloud data platforms, and 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.
- Identify new resources and methods, stay updated with emerging business intelligence, analytics, generative AI, and data experience capabilities, and apply them to AI-enabled analytics workflows for ITQ use cases.
- Guide and mentor team members in the development of BI solutions, ensuring adherence to best practices and internal frameworks.
What you'll need
- Master's in IT, Computer Science, Statistics, Mathematics, Analytics, or Data Science.
- Minimum 5 years of related experience required.
- At least 2-3 years specifically focused on designing, developing, and implementing AI/ML solutions within a Business Intelligence context.
- 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.
- Strong understanding of semantic layers, data warehousing, databases, and cross-platform data connections, with proven experience integrating large datasets to derive actionable insights.
- 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.
Nice to have
- Expertise in Python with relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, NLTK, SpaCy).
- Experience in LookML.
- Professional certifications: Power BI, Tableau, Looker, SQL, or cloud analytics certifications.
- Major area of study: IT, Computer Science, Statistics, Mathematics, Analytics, or Data Science.
Details
- Location: Powai, Mumbai, MH.
- Works a 9:00 am to 6:00 pm shift.
- Applicants must meet minimum age qualifications in the country in which the job is located.
Read the full description and apply on the company’s own careers page.