Data Analytics Hub Manager
- Heredia
- Legal & Compliance
- Permanent
- Home
- Full Time
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Reporting to the Global Senior Data Analytics Manager within Global Internal Audit (GIA), the GIA Data Analytics Hub Manager leads the delivery of data integration and analytics solutions that improve audit efficiency and effectiveness. This role partners with audit teams and data owners across Experian to develop curated datasets, self-service dashboards, and scalable analytics capabilities that support audit planning and testing activities. The position also provides leadership and guidance to a team of Senior Data Analysts.
You'll have the opportunity to:
- Lead the strategy, planning, and delivery of the GIA Data Analytics Hub roadmap, prioritizing projects that provide the greatest value to audit teams.
- Maintain data integrations from enterprise systems, ensuring data quality, accuracy, and availability for audit analytics use cases.
- Design parameter-driven Tableau dashboards that enable self-service audit planning, testing, and reporting capabilities.
- Manage governance processes for analytics assets, including dashboard publication, documentation, knowledge management, and compliance with data retention standards.
- Mentor Senior Data Analysts while driving continuous improvements in data curation, analytics processes, and reporting solutions.
- Bachelor's degree in Computer Science, Statistics, Information Systems, Business Administration, or a related field.
- Experienced leading data analytics, business intelligence, or data engineering plans within Internal Audit, Risk Management, or a similar governance environment.
- Experienced integrating and managing data from multiple sources using SQL, APIs, and other data connectivity methods.
- Proficiency with data analytics and visualization tools such as Tableau, Power BI, Alteryx, SAS, or Python.
- Experienced developing dashboards, data preparation workflows, and scalable reporting solutions.
- Experience leading projects and coordinating deliverables across multiple stakeholders.
- Cloud platform experience, AWS is desired.
- Advanced analytical skills with the ability to translate complex data into applicable insights.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Our benefits include: Medical, life and dental insurance, Asociacion Solidarista, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more.
#LI-Remote
This is a remote position.
Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorized channels. Recruitment communications will only be sent from an @experian.com email address.
Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.
Explore Experian's award winning 'people first' culture.
Being part of Experian is exciting. Every day brings new challenges, new opportunities, new ways for us to do what we do best: using our innovative technologies and data to work in new and surprising ways. All brought together in a single thought: Discover the Unexpected.
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