Data Management Specialist

The Data Management Specialist II will design ongoing and ad-hoc reports and dashboards to support a product offering that helps Experian's data furnishers maintain quality of their reported data.

The DM Specialist II will collaborate and consult with important partners to identify needs and opportunities for improved data delivery, translating our needs into reporting requirements data management as a result.

Main Responsibilities

• You will understand requirements to create the desired product outcome whether it is an ad hoc request or an ongoing product offering.
• You will translate needs into clear data analytics reports.
• You will responsible for important client projects and always delivers the product.
• You will ensure the data is available, retrieving the data from a multiple data source, ordering the data.
• You will consult with partners: marketing, sales, consulting, operations, and clients concerning requirements for product creation, build and delivery to enhance data reporting quality.

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Qualifications

• Bachelor's degree or related field or equivalent experience
• 2 or more years of relevant experience.
• Basic knowledge or Python language.
• Critical thinking with the ability to identify and relate business problems to data quality issues and vice versa.
• Experience with AWS services (e.g., Athena, Glue, SageMaker) (Preferred).
• Work with diverse teams including technology, operations, marketing and sales.
• Creatively work through multiple system constraints and create holistic dashboards/reports based on data from diverse sources.
• Credit bureau data and financial industry knowledge.
• Knowledge of SQL language and concepts of database (DB2 and Vertica).
• (Word, Excel (can perform complex functions), PowerPoint).
• Experience working with analytical tools for business purposes (Tableau, Power BI, QlikView, Alteryx).

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.

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.