Experian Data Specialist
hace 4 días
About Experian
We're Experian, the world's leading global information services company. Our mission is to empower consumers and our clients to manage their data with confidence.
Our team is dedicated to providing exceptional service and solutions to our clients. We're committed to staying at the forefront of innovation and technology to meet the evolving needs of our customers.
We're looking for a skilled Data Operations Specialist to join our team. This role will play a critical part in ensuring the smooth operation of our data supply chain.
The successful candidate will have a strong background in data analysis, problem-solving, and project management. They will be responsible for designing and implementing data ingestion pipelines, driving improvements to quality, and adhering to standard processes and procedures.
The ideal candidate will have experience working with third-party vendors or contributors of data, as well as consulting with data acquisition specialists or internal sales operations teams to understand data issues and escalate exceptions with a focus on maintaining a seamless process flow.
Main Responsibilities:
- Initiate and execute complex operational workstreams intended to collect, cleanse, organize and store Experian's supplier data within our information environment with highest integrity and efficiency possible.
- Verifies input/output counts, monitors data processing jobs across platforms and audits/verifies the results based on historical trends.
- Accountable for ownership of on-time input and output delivery, including taking initiative to monitor after hours.
- Manage their own time in order to meet deadlines, including taking Initiative to monitor work after hours.
- Researches, troubleshoots and takes action regarding data or processing issues according to supplier, product or third-party vendor specifications.
- Help manage and support acquisition and integration of new data content into BIS' data architecture, data model, business processes, and business model.
- Set-up and build, implement/test, data-to-file processing flows including adhoc, new-build and more complex flows involving ETL components.
- Evaluate and identify where system enhancements are required, performing impact analysis and preparing Level-of-Effort forecasts.
Requirements:
- Data Quality Skills
- Strong analytical and problem solving skills
- Understands the interaction between data flows and business processes
- Understands supplied data components and attributes as well as their business impact
- Ability to draw inferences in the context of an overall picture
- Ability to determine data patterns and perform root cause analysis and information chain analysis / management
- Experience with 3rd party data sources and vendor services helpful
Technical Skills:
- Data storage, integration, ETL design and build skills using tools such as IBM Infosphere, Informatica, Pentaho, Talend, DB2, Hadoop.
- Planning and collaboration skills using tools such as Atlassian Confluence, Trello, Jira, Cisco Webex.
- Automation skills using tools such as Jenkins, Chef, Puppet, Kubernetes/Docker, JSP.
- BASIC development/scripting skills using such languages as Java, Python, AngularJS, Anaconda, R.
- Testing skills using tools such as Selenium with Robot Framework, IBM Rational Tester, Tricentis Tosca, Unified Functional Test (UFT).
- Source Code Management skills using tools such as Clearcase, Endevor, Atlassian Bitbucket, GitHub.
- Data manipulation & visualization skills using tools such as Tableau, Alteryx, SAS, Talend, Pentaho, R, Python, SQL, MySQL, NoSQL, JSON, Hive.
- Feedback and issue management skills using tools such as JIRA, Confluence, Service Now.
- Advanced Excel.
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