LG Ad Solutions Logo

LG Ad Solutions

Data Analytics Lead

Posted 21 Days Ago
Be an Early Applicant
In-Office
New York, NY
Senior level
In-Office
New York, NY
Senior level
Lead analytics and operations efforts to ensure trustworthy, consumable data outputs. Investigate datasets, define standards and acceptance criteria, build automation and AI-assisted workflows, partner with engineering/product, and translate findings for technical and non-technical stakeholders.
The summary above was generated by AI
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 [email protected] to let us know the nature of your request.

Top Skills

Ai-Assisted Tooling
Automation
Python
SQL

LG Ad Solutions New York, New York, USA Office

500 7th Avenue, New York, NY, United States, 10018

Similar Jobs

11 Days Ago
Remote or Hybrid
6 Locations
108K-201K Annually
Senior level
108K-201K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead the analytics strategy for External Supply, ensure data governance, drive integration into platforms, provide insights, and foster a data-driven culture.
Top Skills: Agentic AiAIAWSAzureBigQueryCC#C++Data GovernanceData HubData LakeJavaJavaScriptObjective-CPythonRapid ResponseRedshiftSap/S4ScalaSnowflakeSparkSQLSupplyiqSwiftTeradata
Yesterday
In-Office
New York, NY, USA
127K-212K Annually
Expert/Leader
127K-212K Annually
Expert/Leader
Fintech • Financial Services
The Director of Operational Risk leads risk oversight for the Data & Analytics platform, managing operational risks, compliance, and client trust, while collaborating across teams to ensure effective risk management and governance.
Top Skills: AICloud ArchitecturesData ManagementMicroservices
21 Days Ago
In-Office
New York, NY, USA
Senior level
Senior level
AdTech • Digital Media
Lead analytics and operations work to ensure data trustworthiness, define standards and acceptance criteria, investigate large datasets for quality and downstream impacts, build automated workflows (including AI-assisted tools), translate findings into narratives for stakeholders and clients, and partner with engineering and product teams to close data reliability gaps and mentor junior analysts.
Top Skills: AIAutomationPythonSQL

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account