DysrupIT एक क्लाउड सेवाओं और आईटी समाधानों की कंपनी है, जो संगठनों को अपनी तकनीक को आधुनिक बनाने और ऐज़-अ-सर्विस संचालन मॉडल अपनाने में सहायता करती है। इसका कार्य एंटरप्राइज़ क्लाउड, प्रबंधित सेवाओं, एप्लिकेशन इंजीनियरिंग, साइबर सुरक्षा, तथा डेटा एनालिटिक्स और सूचना प्रबंधन तक फैला हुआ है। कंपनी छोटे और मध्यम आकार के संगठनों से लेकर बहुराष्ट्रीय उद्यमों तक के व्यवसायों को सहयोग प्रदान करती है। DysrupIT Microsoft और अन्य क्लाउड प्लेटफ़ॉर्म के साथ काम करते हुए तकनीकी कार्यान्वयन को प्रतिभा विकास, सामुदायिक प्रभाव और दीर्घकालिक साझेदारियों के साथ जोड़ती है, ताकि व्यावसायिक आवश्यकताओं के अनुरूप सुरक्षित और विस्तार योग्य तकनीकी वातावरण तैयार किए जा सकें।
Data Analyst
Guide data management, quality, modelling and integration initiatives for DysrupIT’s technology consulting clients. Help teams build reusable data products and strengthen data governance.
विवरण
- Gather stakeholder requirements and understand how the business uses data to support its processes and strategic objectives.
- Guide business and delivery teams on data management for data foundation initiatives and data product development.
- Review current data management processes, practices and tools, and help define future needs.
- Contribute to the design of shared information models.
- Identify data quality issues in workflow solutions and drive mitigation efforts.
- Recommend suitable data integration patterns, modelling approaches and data quality practices.
- Maintain and share knowledge of requirements, key data types, definitions, stores and data creation processes.
- Serve as a data subject matter expert for delivery teams, guiding data management, quality and foundation initiatives.
आवश्यकताएँ
- Familiarity with tools and technologies such as Azure SQL, Python and Power BI.
- Experience with data catalogue and lineage tools such as Microsoft Purview.
- Strong data fluency and understanding of data modelling techniques.
- Ability to select and apply data visualisation methods suited to different audiences.
- Foundational knowledge of Information Risk Management (IRM).
- Knowledge or experience in cloud computing, data collection, cleaning and preparation, business process and data modelling, data strategy, policies and governance.
- Proven ability to connect stakeholder groups, including IT and business, to gather, clarify and communicate requirements, align goals and expectations, and deliver work products.
- Knowledge or experience with finance data is an advantage.
- Experience with SAP is an advantage.
लाभ
- Compensation package based on experience.
- Government-mandated benefits.
- Supplemental HMO coverage.
- Collaborative, professional work environment.
- Career development opportunities within a growing organization.
- Hybrid work arrangement.
- Training and support for career development.