Senior Analyst, Data Enablement (MCI)

Overview

As a key member of the Data Enablement team, you’ll play a critical role in designing, developing, and evolving high-impact data products, visualization solutions, automation initiatives, and emerging AI-enabled capabilities for internal and external stakeholders.

Responsibilities

• Own the day-to-day development and enhancement of MCI (Datorama) data products and reporting solutions for key pharmaceutical clients.

• Design, develop, and optimize scalable data products, reporting solutions, automation workflows, and SQL- and Python-based data pipelines from ingestion through delivery, ensuring data quality and reliability.

• Apply media taxonomy, metadata management, classification standards, and data harmonization best practices to improve reporting quality and consistency; support data governance, ETL optimization, and operational best practices across client workspaces.

• Proactively identify opportunities to simplify, automate, or eliminate manual processes; explore and leverage AI-powered tools and emerging technologies to improve workflows and accelerate delivery.

• Work within Agile methodologies using Jira to manage priorities and deliver high-quality solutions.

Qualifications

• 1+ years of hands-on experience with MCI (Datorama).

• Strong SQL and Python skills with experience building data pipelines, automation, and scalable reporting solutions; experience with large datasets and reusable data workflows.

• Databricks and/or Snowflake preferred.

• Understanding of media taxonomy, metadata management, and classification strategies, or strong aptitude to learn these concepts quickly.

• Interest in AI, intelligent automation, or emerging technologies, with curiosity to apply new tools to solve business problems.

• Strong communication skills with the ability to explain technical concepts to non-technical audiences; experience collaborating across cross-functional teams in an Agile environment.

• Systems-thinking mindset with exceptional attention to detail, strong organizational and prioritization skills, and a passion for building scalable, high-quality data products.

• Growth mindset with a desire to continuously learn, improve processes, and take increasing ownership of technical solutions.

Preferred But Not Required

• Experience with taxonomy, classification systems, or data governance frameworks.

• Familiarity with tools such as Alteryx.

• Experience working with media or marketing data (pharmaceutical experience is a plus, but not required).