Senior Analyst, Data Enablement (MCI)

Overview As a key member of the Data Enablement team, you will play a critical role in the design, development, and ongoing evolution of core data products, including our classification engine and supporting data infrastructure. This role sits at the intersection of data engineering, data product development, and data governance, with a focus on building scalable, high-quality solutions that power downstream analytics and reporting. You will work hands‑on with large, complex datasets to develop and maintain data pipelines, implement classification logic, and ensure data accuracy and consistency across systems. Responsibilities Contribute to the design, build, and maintenance of data pipelines and workflows supporting the classification engine and other core data products using Databricks and/or Snowflake. Develop and implement scalable classification logic and data transformation rules using SQL and/or Python. Ensure data quality, consistency, and integrity across datasets through rigorous QA, validation, and monitoring processes. Partner closely with Engineering, Business Intelligence, and Media teams to support and evolve data products and underlying data models. Troubleshoot and resolve complex data issues, identifying root causes and implementing long‑term solutions. Work within Agile frameworks (Jira) to manage priorities, deliverables, and cross‑functional collaboration. Qualifications Hands‑on experience working with Databricks and/or Snowflake, or similar modern data warehouse technologies. Proficiency in SQL and/or Python for data transformation and analysis. Experience working with large, complex datasets and building scalable data solutions. Exceptional attention to detail and a strong commitment to data accuracy and quality. Strong problem‑solving skills with the ability to debug complex data and system issues. Excellent communication skills, with the ability to clearly explain technical concepts to both technical and non‑technical stakeholders. Ability to think critically about data structures, logic, and system design. Preferred Qualifications Experience with taxonomy, classification systems, or data governance frameworks. Experience with data visualization tools such as Datorama/MCI, Tableau, and Power BI. Familiarity with tools such as Alteryx. Experience working with media or marketing data (pharmaceutical experience is a plus, but not required). Benefits Medical coverage Dental coverage Vision coverage Disability coverage 401(k) plan Parental and family care leave Family forming assistance Tuition reimbursement Flexible time off Compensation Range: USD $73,150.00 – USD $101,010.00 per year. The Company reserves the right to modify this pay range at any time. EEO and Accommodation All your information will be kept confidential according to EEO guidelines. For accommodation or assistance with the application or onboarding process, please contact View email address on click.appcast.io. #J-18808-Ljbffr Publicis Groupe Holdings B.V