We are looking for 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 enables Intel to make better business decisions by using data analysis techniques such as ad hoc database queries, scripting, mathematics, and statistics, including evaluating implemented data systems for variances, discrepancies, and efficiency, leveraging technical expertise in cloud platforms including Azure, Snowflake, SAP HANA, SAP Analytics Cloud etc. to Keep Intel Legal through accurate and on-time data insights for biz success.
Your primary responsibilities encompass serving as a technical liaison between the business and technical delivery teams, gathering business requirements, decomposing them into data and technical requirements, including data modelling and data flows to other systems and relays feedback to developers. Evaluates master and/or transaction data systems such as SAS, SAP, etc. 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. This also include providing input into the establishment of data standards, guidelines, procedures, and other infrastructure necessary to support data integration.
The ideal candidate needs to be:
BA/BS/MS degree in Data Science, Computer Science, Information Technology or a related disciplineEssential technical skills required mastery of SQL and Python Programming, Advance Excel, Data Manipulation and Analysis, Data Visualization, and Microsoft Office tool proficiencyStrong data analysis and troubleshooting skillsHaving in-depth understanding of MS Azure Data Fundamentals, Databricks, Snowflakes data warehousing is crucialExposure to SAP ERP, HANA, S/4, BW, BOBJ, and SAC is a bonusPrior experience in Business Intelligence and Enterprise Reporting development and support is beneficialFundamental understanding of AI learning models, ML Ops for predictive and prescriptive analytics is good to haveKnowledge of Finance and Supply Chain business processes and enterprise data acumen is added advantageFamiliar with Agile SCRUM methodologies and practices
Soft Skills Requirement: