About the job
On-site attendance required 3-4 days a week in our New York, NY office.
LG Ad Solutions stands at the forefront of the connected TV (CTV) and cross-screen advertising industry. Our commitment to innovation has established us as a global leader, providing cutting-edge advertising solutions that align perfectly with the dynamic digital media landscape.
Job Overview:
We are in the process of creating a robust Data Analytics and Operations team within our Research department to enhance the ownership of our analytics outputs and ensure the preparedness of our core data assets. This pivotal role is dedicated to validating that our data is accurate, actionable, and transformed into insights that are ready for business and client use.
You will thrive in ambiguous environments, establish standards in the absence of guidelines, and be accountable for converting intricate data into dependable, consumable formats. Comfort with exploring unknown territories, tracing problems across systems, and adapting strategies as you progress will be crucial.
Key Responsibilities:
Engage with extensive and complex datasets to analyze data behavior, quality, and downstream effects.
Interpret and document analytics outputs, ensuring adherence to acceptance criteria for effective consumption.
Articulate findings, risks, and recommendations clearly to both technical and non-technical stakeholders.
Assist in maintaining workflows that bolster analytics delivery, incorporating automation and AI-enhanced tools when applicable.
Collaborate closely with engineering, research, and product teams to identify issues and communicate resolutions.
Spot gaps in data reliability or usability and take proactive measures to address them.
Contribute to establishing an analytics culture that emphasizes ownership, clarity, and impactful results over bureaucratic processes.
Automate procedures on a large scale – transitioning manual, repetitive data tasks into efficient, transparent workflows.
Prioritize accuracy, clarity, and dependability in outputs.
Conduct well-defined analyses and investigations under guidance.
Qualifications:
Exceptional analytical and problem-solving abilities, with a proficiency in navigating uncertain situations.
Minimum of 2 years of experience with SQL or Python, comfortable working with both raw and intermediate datasets.
Strong communication skills, capable of conveying complex information to diverse audiences.
Experience in data analytics, operations, or a related field is preferred.