Data Analyst - Enterprise Data and Analytics (Finance)Job Details:
Job Description:
We are looking for a passionate Data Analyst who will be part of Intel's Global IT Corporate Data and Insights group.
You will be part of an Agile Persistent Team (APT) to analyze, design, implement, and support Enterprise Analytics and Reporting solutions in various Finance enterprise data domains that enable Intel to make better business decisions by using data analysis techniques such as ad hoc database queries, scripting, mathematics, and statistics.
This includes evaluating implemented data systems for variances, discrepancies, and efficiency, leveraging technical expertise in cloud platforms including Azure, Snowflake, SAP HANA, and SAP Analytics Cloud to provide accurate and timely data insights for business success.
Your primary responsibilities encompass serving as a technical liaison between the business and technical teams, gathering business requirements, decomposing them into data and technical requirements, including data modeling and data flows to other systems, and relaying feedback to developers.
You will evaluate master and/or transaction data systems such as SAS and SAP in the performance of data fit gap analysis and risk assessments.
You will also need to work closely with data architecture, data platform, and data security teams to implement analytics and reporting solutions, providing input into the establishment of data standards, guidelines, procedures, and other infrastructure necessary to support data integration.
Qualifications:
BA/BS/MS degree in Data Science, Computer Science, Information Technology, or a related discipline
Essential technical skills required: mastery of SQL and Python Programming, Advanced Excel, Data Manipulation and Analysis, Data Visualization, and Microsoft Office tool proficiency
Strong data analysis and troubleshooting skills
In-depth understanding of MS Azure Data Fundamentals, Databricks, and Snowflake data warehousing is crucial
Exposure to SAP ERP, HANA, S/4, BW, BOBJ, and SAC is a bonus
Prior experience in Business Intelligence and Enterprise Reporting development and support is beneficial
Fundamental understanding of AI learning models, ML Ops for predictive and prescriptive analytics is good to have
Knowledge of Finance and Supply Chain business processes and enterprise data acumen is an added advantage
Familiarity with Agile SCRUM methodologies and practices
Soft Skills Requirement:
Strong qualitative and business process skills, with a focus on technical requirements and complex problem solving
Strong communication skills with the ability to handle front-line user requirements and work constructively with geographically dispersed international business stakeholders and IT partners
Intermediate to Advanced English proficiency (both verbal and written)
Ability to work with minimal supervision to research, plan, multitask, and execute tasks per priority with a sense of urgency and accountability
Strong team player with a collaborative mindset and able to adapt well to constantly changing environments
Job Type:Experienced Hire
Shift:Shift 1 (Malaysia)
Primary Location:Malaysia, Penang
Additional Locations:
Business Group:Intel's Information Technology Group (IT) designs, deploys, and supports the information technology architecture and hardware/software applications for Intel.
This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications.
IT is also responsible for e-Commerce development, data hosting, and delivery of web content and services.
Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
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.#J-18808-Ljbffr