Data Management Analyst
Heredia, Costa Rica
Experian
Experian is committed to helping you protect, understand, and improve your credit. Start with your free Experian credit report and FICO® score.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.
Job Description
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 ideal candidate consults with and mentors junior team members on most efficient processing techniques and best auditing methods; acts as an escalation point for less experienced associates; submits jobs and provides workflow management; utilizes transfer mechanisms to move data to appropriate platforms; tracks data movement through the pipelines, ensures compliance with established procedures, project requirements and service level agreements through testing and audits; provides support and communication to other teams and/or clients based on knowledge of data and/or processes.
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.
The ideal candidate must have related software industry data management & operations experience demonstrating excellent organizational, communication and leadership skills.
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.
- Document processes & procedures. Maintain policies and procedures to ensure conformance to all corporate and BIS-local requirements. Also, help develop and enforce standards to ensure product-ready data integrity in business applications.
- 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.
- Cross-platform job/application monitoring skills using tools such as Splunk, Dynatrace, CA-APM, IBM-APM.
- 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.
- Microsoft Office general applications, including Visio.
- Knowledge of managed file transfer, enterprise file synch-and-share protocols and encryption methods in on-premise, cloud and big data environments is beneficial.
Personal Skills:
- Proven passion for the data quality discipline.
- Extremely meticulous and attentive to detail with high levels of concentration in approach to work with a strong drive for results.
- Good communication skills.
- Extensive latitude for independent judgment.
- Proven project management skills with the ability to meet established deadlines.
- Objective, creative, and diplomatic team player.
- Good multi-tasking skills and ability to manage varying priorities.
- Ability to work calmly under pressure.
Experience Required:
Between 2 and 5 years of experience in information technology industry with a focus in data management, data cleanup or similar activities and/or responsibilities.
Education Required:
Bachelor’s Degree in a relevant field or equivalent experience.
Additional Information
**This is a permanent home-based role in Costa Rica. No Visa sponsorship or relocation available.**
Our benefits include: Medical, life and dental insurance, Asociación 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. Our goal is to create a thriving, inclusive and diverse team where people love their work and love working together. We believe that diversity, equity and inclusion is essential to our purpose of creating a better tomorrow. We value the uniqueness of every individual and want you to bring your whole, authentic self to work. For us, this is The Power of YOU and it ensures that we live what we believe.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Our goal is to create a thriving, inclusive and diverse team where people love their work and love working together. We believe that diversity, equity and inclusion is essential to our purpose of creating a better tomorrow. We value the uniqueness of every individual and want you to bring your whole, authentic self to work. For us, this is The Power of YOU and it ensures that we live what we believe.
#LI-REMOTE #LI-SA1
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Anaconda Angular Architecture Big Data Bitbucket Confluence Data management DataOps Data quality DB2 Docker ETL Excel GitHub Hadoop Informatica Java Jira JSON Kubernetes MySQL NoSQL Pentaho Pipelines Puppet Python R SAS Splunk SQL Tableau Talend Testing
Perks/benefits: Career development Flex vacation Home office stipend Medical leave Relocation support Salary bonus
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Principal Data Engineer jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Data Scientist II jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Analyst Intern jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Junior Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open PhD-related jobs
- Open PyTorch-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open DevOps-related jobs