Data Analytics and Operations Lead

LG Ad Solutions • New York, NY

1d • Hybrid

About The Position

We are building a Data Analytics and Operations team within Research to strengthen ownership of our analytics outputs and the readiness of our core data assets. This role focuses on ensuring that data is trustworthy, usable, and effectively translated into business- and client-ready insights.
You will work in ambiguous problem spaces, define standards where none exist, and take responsibility for turning complex data into reliable, consumable outputs.You will be comfortable navigating unknowns, following problems across systems, and adapting approaches as you learn more.

Requirements

• 5+ years of experience in digital advertising measurement from large marketing-related organizations, digital platforms or analytics specialist organizations
• 5+ years working experiences in SQL or Python, with comfort working directly with raw and intermediate datasets
• Solid understanding of how data systems support business decisions and how upstream data issues can have downstream impacts on deliverables
• You automate with purpose – You’ve led automation and AI framework related work that solved business problems and deployed solutions that meaningfully improved accuracy, efficiency, and productivity
• Experience collaborating with product and engineering teams to align on priorities, coordinate efforts, and drive results
• Ability to pivot approaches as new information emerges and unknowns are uncovered
• Ability to define acceptance criteria, standards, and best practices rather than just following them
• Clear written and verbal communication skills
• Acts as a technical and analytical mentor to junior team members
• BA/BS degree or higher in Math/Stats, Operations Research, Computer Science, Engineering, or other related quantitative field

Nice To Haves

• Experience in ad tech, media, or data products
• Strong knowledge or experience working with TV viewership data sources

Responsibilities

• Work directly with large and complex datasets to investigate data behavior, quality, and downstream impact
• Define and maintain standards for analytics outputs, including acceptance criteria and readiness for consumption
• Translate data into clear analytical narratives for internal stakeholders and external clients
• Build and improve workflows that support analytics delivery, including automation and AI-assisted tooling where appropriate
• Partner closely with engineering, research, and product teams to surface issues, clarify data guarantees, and drive resolution
• Identify gaps in data reliability or usability and take initiative to close them
• Communicate findings, risks, and recommendations clearly to both technical and non-technical audiences
• Contribute to the development of an analytics discipline that prioritizes ownership, clarity, and impact over process overhead

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level