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Data Quality Specialist

סן חוסה, קוסטה ריקה Job ID JR0268951 Job Category Project and Program Management Work Mode Hybrid Experience Level Experienced סוג שעות משרה מלאה
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Job Description


This position requires candidates to upload a resume in English, you are welcome to upload multiple versions of your resume if you prefer but an English version of your resume will be required to be considered for this position.

Intel is modernizing how connected data is structured and managed across the company by aligning and redesigning long-standing data policies, processes, and capabilities. As a Data Quality Specialist in the Sales and Marketing (SMG) Global Operations and Support (GOS) organization, you will have a critical role in this transformation and in sustaining these data foundations as Intel transforms into an IDM 2.0 company. In this role, you will collaborate closely with sales, marketing, operations, and IT teams to measure, monitor, and maintain a clean data pipeline for SMG. You will establish and maintain data integrity and accuracy in platforms and datasets that SMG depends on to go to market. You will help ensure that data is reliable, complete, consistent, and aligned with SMG data policies.

Key Responsibilities:

  • Define and implement monitoring and controls required to maintain data quality in targeted SMG capabilities.
  • Collaborate with subject matter experts (SMEs) to develop and implement data cleansing strategies and techniques - such as deduplication, validation, and standardization - to resolve data quality issues.
  • Perform comprehensive data profiling exercises to identify potential issues, such as duplicate records, missing values, or inconsistent data formats.
  • Evaluate data quality against business rules and data policies - and then develop data quality metrics to measure and track progression of data quality over time.
  • Establish data quality benchmarks and monitoring processes to identify, root cause, and resolve data issues.
  • Develop data quality reports and present findings to management.
  • Perform regular audits and data quality checks to ensure compliance with data governance policies, business rules, and compliance regulations.
  • Own, facilitate, and evolve processes to engage with global data stewards, process owners, and regional experts across SMG to answer questions, facilitate support requests, and resolve issues.
  • Provide training to teams and SMEs on the importance of data quality, best practices, and tools for managing it
  • Leverage an AI-first mentality to deploy AI tools and methods to improve quality, efficiency, and compliance

The ideal candidate will bring experience and acumen in these areas:

  • Strong communication skills, working with both technical and non-technical stakeholders
  • Excellent analytical and problem-solving skills
  • Strong understanding of data governance and data management principles Experience with data profiling, auditing, and validation techniques
  • Project Planning/Management
  • Operating in an ambiguous environment, within a matrixed team, with a high rate of change
  • Working collaboratively with cross-functional teams and global stakeholders
  • Resilience and a Growth Mindset. This is an opportunity to help Intel transcend its history of complex internal processes. As such, you will be challenged to help stakeholders adopt new ways of working.
  • Experience with (or willingness to learn) AI and machine learning tools and techniques, as well as tools such as Power BI, Excel, Salesforce, SQL, Collibra and other emerging capabilities


Qualifications


You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:

  • Advanced English level
  • At least a bachelor's degree and/or 5+ years working on project or operational team performing data analysis and/or data monitoring
  • 3+ years of experience working with Sales and Marketing capabilities, data, and processes.

Preferred Qualifications:

  • Bachelor's degree in business, computer science, information systems, data science or related
  • 3+ years of experience working with Intel Sales.

Inside this Business Group


Intel's Sales and Marketing (SMG) organization works with global customers and partners to solve critical business problems with Intel based technology solutions. SMG works across business units to amplify the customer voice and deliver solutions that accelerate their business. We work across numerous industries, including retail, enterprise and government, cloud services and healthcare as examples. The operations team focuses on forecasting, driving alignment with factory production and delivering efficiency tools and our marketing capability drives demand and localized marketing in locations around the globe. Our sales force navigates a complex partner and customer ecosystem while shaping product roadmaps, driving value for our customers, and collaborating to harness emerging technology trends to deliver comprehensive solutions.


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.

Benefits


We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.


Working Model


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. * Job posting details (such as work model, location or time type) are subject to change.
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