Data Operations Specialist
Remote World
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Remote
Tech stack
Microsoft Excel
Big Data
Data as a Services
Data Cleansing
Data Transformation
Issue Tracking Systems
Information Management
Microsoft SQL Server
DataOps
SQL Databases
Data Streaming
Data Import/Export
Data Ingestion
Information Technology
Job description
We are seeking a highly skilled and motivated Data Analyst with strong technical expertise, business acumen, and a proactive approach to scale our data ingestion capabilities while maintaining data quality. What you'll be doing
- Execute tasks assigned via the Data Services ticketing system, ensuring SLA adherence and process compliance
- Follow established processes to ensure consistent execution across tasks
- 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 various products
- Maintain and support data ingestion tools and automation scripts.
- Convert, manipulate and prepare large volumes of data for ingestion using excel
- Maintain high customer satisfaction with customer service, technical and consultative skills, and acquired knowledge of the work product.
Requirements
We are looking for someone who thrives in a fast-paced, start-up-like environment, someone adaptable, confident in cross-functional collaboration, and committed to delivering results. Success in this role requires comfort with ambiguity, a proactive mindset, and strong prioritization and problem-solving skills., * Strong analytical and problem-solving skills
- Attention to detail to ensure the accuracy of the data and integrity.
- Excellent communication and collaboration across cross-functional teams
- A commitment to continuous improvement and process optimization, * A 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.
- Strong troubleshooting skills using excel or SQL.
- Hands-on experience with Microsoft SQL Server.
About the company
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 realize 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., As the workplace continues to evolve, data-driven human capital management solutions are becoming increasingly essential. Employers are seeking scalable, client-centric approaches that combine flexibility with robust capabilities. At Experian, we have brought together top industry experts to deliver 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 leveraging 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. In this role, you will help shape the future of employer services, with a focus on HR compliance and outsourcing. You will support the development and implementation of data-driven solutions that enable strategic decision-making and drive business growth.