Senior Associate, Data Enablement

Dentsu International Americas is a leading global marketing and advertising agency, and they are seeking a Senior Associate in Data Enablement to ensure accuracy and reliability across the full data lifecycle. This role involves data analysis, process improvement, and support for business analytics needs, with responsibilities including maintaining data quality and collaborating with various teams.ResponsibilitiesDesign and manage processes for capturing and ingesting data from multiple sourcesMaintain and improve ETL/ELT workflows to ensure they run efficiently and reliablyWork with data models and structured schemas to support clear and consistent reportingValidate and monitor data throughout pipelines, including checks for completeness, accuracy, and structural consistencyCreate and maintain alerts, checks, and dashboards to help identify issues earlyHelp document and support data governance practices related to data intake and processingTranslate technical workflows into clear outputs, dashboards, and resources for end usersCollaborate with analysts, media teams, and business partners to ensure data structures meet their needsSupport and enhance internal tools that surface data quality issues and provide visibility to stakeholdersAssist in managing mapping tables, error logs, data lineage references, and validation checksContribute to developing and maintaining data pipelines and related tools within the organization’s technology stackUse version control to manage changes, maintain transparency, and support team collaborationHelp identify opportunities for automation that improve consistency and reduce manual workloadMaintain thorough documentation to support transparency, continuity, and team alignmentCollaborate with teammates to improve processes, scale data operations, and create a positive experience for data consumersSkillsBachelor's degree in Analytics, Statistics, Mathematics, Computer Science, or a related fieldAt least 1-2 years required in data enablement, data engineering, analytics engineering, or a related fieldAt least one year of strong working knowledge of SQL and Python to build, automate, and validate data pipelines, perform analysis, and troubleshoot data quality issues across large datasetsExperience with ETL/ELT tools or workflow oriented systemsFamiliarity with Microsoft's data ecosystem (e.g., data storage, reporting, or workflow tools)Experience using version control for managing code and collaborating on data related changesExperience integrating external or third party data sourcesUnderstanding of data quality practices, including validation checks, monitoring, and reconciliationAbility to communicate clearly with both technical and non-technical partnersDemonstrated ability to learn quickly, solve ambiguous problems, and work independentlyStrong organizational and time management skillsBenefitsMedical, vision, and dental insuranceLife insuranceShort-term and long-term disability insurance401kFlexible paid time offAt least 15 paid holidays per yearPaid sick and safe leavePaid parental leaveCompany OverviewWe are dentsu. It was founded in 1968, and is headquartered in London, England, GBR, with a workforce of 10001+ employees. Its website is https://www.dentsu.com.



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