About Grafieks Analytics and Grafieks Lab:
Grafieks Analytics Ltd and Grafieks Lab Pvt Ltd, both under the same leadership, are technology consulting and software development companies building scalable solutions for modern businesses. Our flagship product, Grafieks, is an AI-powered Business Intelligence (BI) platform delivered as a SaaS offering, designed to help organizations analyze data, uncover insights, and make faster, smarter decisions. Alongside our product portfolio, we offer end-to-end IT Managed Services to help you run reliable, secure, and effective technology operations. At Grafieks, we combine deep technical expertise with a product-driven mindset to solve real-world business challenges.

Role summary:
We are looking for a BI Platform Engineer with 8+ years of experience in Power BI and SAP BusinessObjects development. You will build the analytical surfaces that executives and business teams rely on daily, pulling data from SAP BW structures through to polished, governed dashboards:




Executive-grade dashboards and reports in Power BI with performance-tuned DAX models and row-level security.
Self-service templates and guided analytics in SAP BusinessObjects for distributed business users.
Live and import-mode connections into SAP BW on HANA via official connectors.
Incremental refresh strategies and optimised dataflows to keep enterprise datasets current at scale.
A governed semantic layer that standardises metrics, hierarchies, and security across reporting tools.

TECHNICAL CAPABILITY REQUIRED
Power BI Platform
7+ years delivering production Power BI solutions: DAX authoring, data modelling, and Power Query (M) transformations.
Dataset and dataflow architecture for enterprise-scale data distribution and reuse.
Row-level security design, workspace governance, and deployment pipeline management.
Performance optimisation: query folding, aggregations, incremental refresh, and DirectQuery tuning.
Data pipeline design connecting relational, non-relational

📌 BI Platform Engineer (Noida)
🏢 Grafieks Analytics
📍 Noida