Data Analytics and Operations Associate
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
- Strong analytical and problem-solving skills with the ability to navigate ambiguity
- 2+ 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 products
- Strong sense of ownership and accountability for outcomes
- You automate with purpose – You’ve applied automation and AI frameworks to business problems and deployed solutions that meaningfully improved accuracy, efficiency, and productivity
- Ability to pivot approaches as new information emerges and unknowns are uncovered
- Clear written and verbal communication skills
Nice To Haves
- Experience in ad tech, media, or data products
Responsibilities
- Work directly with large and complex datasets to investigate data behavior, quality, and downstream impact
- Able to understand and follow analytics outputs, including acceptance criteria, documentation for consumption
- Communicate findings, risks, and recommendations clearly to both technical and non-technical audiences
- Help the team maintain workflows that support analytics delivery, including automation and AI-assisted tooling where appropriate
- Partner closely with engineering, research, and product teams to surface issues and communicate resolutions
- Identify gaps in data reliability or usability and take initiative to close them
- Contribute to the development of an analytics discipline that prioritizes ownership, clarity, and impact over process overhead
- Automate at scale – Replace manual, repetitive data processes with reliable, fast, and transparent workflows
- Focuses on accuracy, clarity, and reliability of outputs
- Executes well-defined analyses and investigations with guidance
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
