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7 месяцев назад

Data Analyst Subject Matter Expert

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Data Analyst Subject Matter Expert: Designing and developing integrated analytics solutions using Power BI, Azure Data Lake, and SAP ERP S/4HANA with an accent on scalable analytics, data governance, and generative AI readiness. Focus on building optimized data models, ensuring data quality, and collaborating across teams to support enterprise-wide decision-making.

Location: Bengaluru, Karnataka, India

Company

hirify.global is a global corporation focused on digital transformation and data-driven solutions in the energy sector.

What you will do

  • Design and develop Power BI dashboards, reports, and data visualizations to support business decisions.
  • Integrate and transform data from multiple sources including Azure Databricks, Azure SQL, Excel, APIs, and cloud data lakes.
  • Build and optimize data models in Power BI using DAX and Power Query.
  • Collaborate with SAP, Data Lake, and ERP teams to design and develop data models.
  • Implement row-level security and access controls in Power BI.
  • Support adoption of generative AI and digital analytics ensuring data readiness and quality.

Requirements

  • Location: Must be based in Bengaluru, India.
  • 6+ years of experience in data analytics with at least 3 years as a SME.
  • Strong proficiency in Power BI, Azure Data Bricks, SAP ERP S/4HANA, and data governance principles.
  • Proficiency in English (spoken and written) is required.
  • Experience with SQL, Python, and cloud platforms (Azure preferred).

Nice to have

  • CDMP certification and experience with enterprise data lakes and data mesh architecture.
  • Experience with SAP Analytics Cloud, ABAP Reporting, and CI/CD workflows.
  • Knowledge of MS Fabric, SAP BDC, SFDC Data Cloud.

Culture & Benefits

  • Work in a global corporation focused on digital transformation.
  • Opportunity to work with cutting-edge data and AI technologies.
  • Collaborative environment promoting data literacy and knowledge sharing.

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