Data Management Analyst

hace 2 semanas

San Francisco, Heredia, Costa Rica Experian A tiempo completo

**Company Description**
Experian is the world's leading global information services company.
During life's big moments - from buying a home or a car, to sending a child to college, to growing a business by connecting with new customers - we empower consumers and our clients to manage their data with confidence.
We help individuals to take financial control and access financial services, businesses to make smarter decisions and thrive, lenders to lend more responsibly, and organizations to prevent identity fraud and crime.
We have 20,000 people operating across 44 countries and every day we're investing in new technologies, talented people, and innovation to help all our clients maximize every opportunity.
The Data Operations Specialist orchestrates the complex data supply chain by which Experian collects and compiles the sources of data that drive our products and solutions.
They have a deep understanding of the details of our data and products to ensure that our data assets are clean, enhanced, organized and ready to deliver.
Data Operations Specialists design and implement our data ingestion pipelines and drive improvements to quality while adhering to standard processes and procedures.
They may work with third-party vendors or contributors of data, and consult 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.
This "data guru" provides expertise in analyzing, trouble shooting and changing rules/processes to ensure efficient delivery of data content to further stages in Experian's proprietary, value-added solutions.
The Data Operations Specialist must maintain expertise in all areas of processing and our data lifecycle and utilize their analytical expertise to measure, monitor and optimize the data-to-file processes across the organization.
The Data Operations Specialist has an innate curiosity and desire to understand the data and maintains a fluency in emerging tools and technologies that will serve that need to understand as well as gain competitive advantage, operational efficiency, or revenue enhancement.
**Key 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.
Accountable to 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.
This includes advising internal teams and stakeholders on necessary solution changes or fixes to implement as well as the actual work to implement/fix.
- 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.
**Qualifications** Qualifications**:

- 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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