IT Data Analyst work focuses on designing information systems that are appropriate for users' needs and consistent with the overall design of the organization's information systems architecture including:
- Collecting and analyzing information from system users to formulate the scope and objectives of the system.
- Preparing flow charts, models, and procedures and conducting feasibility studies to design possible system solutions.
- Estimating the costs of system solutions and preparing project plans to provide input into decisions about prioritizing projects and allocating IT resources.
- Preparing and maintaining technical documentation to guide system users and to assist with the ongoing operation, maintenance, and development of the system.
- Leverages agile methodology to design and configure solutions.
- Works closely with business to develop required training, change management and operations process.
- Looks for opportunities to automate business process with technology, and may provide consultation to users in the area of automated systems.
**Behavioral traits desired**:
- Strong analytical and problem-solving skills
- Deal with ambiguity and urgency
- Champion improvement initiatives, work effectively as part of a team and result driven
- Excellent communication skills and strong Stakeholder Management skills
**Qualifications**
Qualifications:
Minimum Qualifications:
- Technical BE in Computer Science/Engineering, or Technical MBA or MS Computer Science/Engineering, with a focus on data and analytics, preferred.
- Proven 7+ years of experience in data and analytics and data lake/data warehousing with emphasis on enterprise-scale sales and marketing.
- Advanced English level.
Preferred Qualifications:
- Hands-on experience in solution design, knowledge of modern techniques such as data vault or knowledge graph data models, and data fabric is a plus.
- Excellent working knowledge of data governance solutions such as metadata management, data cataloging solutions, data integration, data quality, master, and reference data management
- Experience with Scrum Agile/SAFE methodologies and practices including Minimum Viable Architecture Product
- Experience with enterprise technology platforms such as HANA DB containers, Azure Cloud Data solutions, PowerBI, and/or other similar technologies
**Inside this Business Group**
**Work Model for this Role**
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.