Data Analytics and Operations Lead (Marketing Science)

This listing is synced directly from the company ATS.

Role Overview

This senior-level role leads data analytics and operations within a marketing science team, focusing on ensuring data trustworthiness and translating complex datasets into business-ready insights. Day-to-day responsibilities include working with large datasets, defining analytics standards, building workflows, and collaborating with engineering and product teams to drive data reliability and usability. The hire will have a significant impact by strengthening analytics outputs and data assets, turning ambiguous problems into clear, consumable narratives for stakeholders and clients.

Perks & Benefits

The job is remote but requires a minimum of 3-4 days on-site per week in the New York, NY office, implying a hybrid setup with flexibility. It offers opportunities for career growth through mentorship of junior team members and involvement in automation and AI-assisted tooling. The company culture emphasizes equal work opportunities, accessibility accommodations, and collaboration across technical teams in a dynamic ad tech environment.

Full Job Description

3-4-day minimum on-site attendance expected in New York, NY office.

LG Ad Solutions is a global leader in connected TV (CTV) and cross-screen advertising. We pride ourselves on delivering state-of-the-art advertising solutions that integrate seamlessly with today's ever-evolving digital media landscape.

Job Description:

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.

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

Qualifications:

  • 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

  • Bonus: Experience in ad tech, media, or data products

  • Bonus: Strong knowledge or experience working with TV viewership data sources

  • BA/BS degree or higher in Math/Stats, Operations Research, Computer Science, Engineering, or other related quantitative field

LG Ad Solutions provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.

We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@lgads.tv to let us know the nature of your request.

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