Senior Analyst, Data Glossary

Job Description

Senior Analyst, Data Glossary-3 OverviewThe Senior Analyst, Data Glossary is responsible for the glossary content creation within the enterprise data glossary for assigned data sets and domains. This includes curating the data to be included by ensuring the critical data elements are appropriately identified, categorizing and classifying data, applying business term naming and definition standards, facilitating the rationalization of business terms at an enterprise level across business units, and ensuring content is represented accurately within tooling. This individual will serve as a semantic subject matter expert for assigned data domains and/or data sets as Mastercard expands its data management program and strategy within the office of the Chief Data Officer (CDO).This role is within the Data Management & Strategy team, with reporting structure up to the Chief Data Officer. Role tCoordinate and communicate with data subject matter experts and other stakeholders to curate and proof the content to be included in the data glossary for assigned data domains, ensuring business terms conform to standards. tNormalize terms cross-functionally, ensuring no term duplicates, and facilitating consensus among competing stakeholders. tEnsure content is loaded and maintained in enterprise tooling. Participate in the identification and implementation of controls to ensure glossary integrity. tCollaborate closely with team members and cross-functional teams to ensure content and process alignment. Contribute to process automation and streamlining operational procedures. tAssist in researching and evaluating external related standards. tAlign with established data categories and concepts that may be managed by other team members. tSolicit and incorporate continuous feedback from communities of interest and other stakeholders to improve data semantic models while maintaining governance. tAssist with the creation and maintenance of standards and best practices related to the data glossary, including business term naming and definition standards. Solicit and incorporate continuous feedback from the community and other stakeholders. tAssist with the training of new data glossary resources. tCoordinate with Operations & Technology support teams to report, track, and escalate any tool issues or defects impacting the performance or usability of the data glossary tools tServe as a data-driven change agent and advocate, persuading and influencing the organization at the grassroots level.All About You tExcellent writing skills, including the ability to concisely and precisely convey information to the intended audience in an easy to understand, unambiguous manner. tAdvanced Excel skills are desirable, intermediate required at a minimum. tDemonstrated experience in working with data. tDemonstrated experience with the application of standards. tHands-on experience with projects involving an enterprise glossary, thesaurus, or controlled vocabulary. tHighly-motivated self-starter with the ability to multi-task between strategy-related work and tactical in the trenches work, while working under deadlines. Ability to produce effective business results while under time pressures. tAbility to understand and analyze complex information products, systems and processes and to break down complex concepts into clear articulated information to aid organizational understanding and identify common themes. tAny experience related to data management or data governance including working with data dictionaries, metadata management solutions, data models, data lineage, data quality, data and analytics solutions, data categorization, defining the properties and relationships of concepts, data classification, and data issue tracking is an advantage. tStrong interpersonal communication, relationship-building and presentation skills. tWithout direct authority, ability to motivate and influence others to achieve organization goals. tExperience in the technology and/or finance industries is helpful.,

Keyskills :
customer relationsreportingbasisaccountsresearchsubject matter expertsequal employment opportunitynew hiresdata modelsdata quality