Data Analyst
hace 3 días
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
Job DescriptionAs the workplace continues to evolve, data-driven human capital management solutions are becoming essential. Employers are looking for scalable, client-centric approaches that combine flexibility with capabilities. At Experian, we have brought together top industry experts to provide a suite of specialized solutions that offer exceptional service, trusted expertise, and innovations inspired by our clients. We maintain the agility and personalized service of boutique providers while using the global resources and security of Experian.
We invite you to be part of this transformation by joining Experian as a Data Analyst within our Data Services team. You will help shape the future of employer services, with a focus on HR compliance and outsourcing. You will help develop and implement data-driven solutions that allow strategic decision-making and improve business growth.
What You Bring
We are looking for an experienced and motivated Data Analyst with technical expertise, and a proactive approach to increase our data ingestion capabilities while maintaining data quality.
What you'll do
- Build tasks assigned through the Data Services ticketing system, ensuring Service level agreement adherence and process compliance
- Follow established processes to ensure execution across tasks
- Maintain data ingestion tools and automation scripts.
- Convert, manipulate and prepare large volumes of data for ingestion using excel
- Resolve data import errors by identifying and correcting issues, handling missing values, and removing inconsistencies in datasets
- Troubleshoot and prioritize data issues flagged by client-facing teams by analyzing end-to-end data flows across multiple products
- Maintain high customer satisfaction with good service, technical and advisory skills, and acquired knowledge of the work product.
What your background is
- Bachelor's degree in quantitative fields like Computer science, Economics, or Information management
- 2+ years of experience in databases or application support.
- Proficiency in data manipulations and validation techniques
- Experience with data cleansing methods such as removing duplicates, handling errors, and transforming data
- Excel (can maintain complex spreadsheets) or SQL
- Hands-on experience with Microsoft SQL Server.
This is a permanent remote home-based role in Costa Rica. No relocation available.
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.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical 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.
#LI-ML2 #LI-Remote
This is a remote position.
Employee Status: RegularRole Type: HomeDepartment: Data ManagementSchedule: Full TimeShift: Day Shift-
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