Temporary Senior Analyst, Programmatic Investment

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via Linked In, all applications must be submitted through our official website ().

As a Temporary Senior Analyst, Programmatic Investment, you’ll data driven at heart, leveraging core statistical principles to help us separate the signal from the noise, and ensure your strategic decisions are backed with analytical rigor.

• Grow clients businesses by optimizing marketing campaigns across programmatic DSPs and managed service digital partnerships
• Routinely conduct data analysis to uncover insights, inform campaign improvements, future media plans, and testing opportunities.
• Develop strategic testing plans based on client goals to maximize both performance and learnings.
• Package client ready campaign insights and reports, recommend actionable next steps that will improve performance and drive business results.
• Development of innovative A/B tests and experiments.
• Think holistically as a marketer & learn to translate business needs into comprehensive media activations.

• 2 - 4 years in a digital performance marketing role with programmatic trading experience
• Proficiency with The Trade Desk, DV360, Yahoo, Amazon Ad Platform, or other comparable DSPs
• Proficiency with Excel
• BA/BS degree (Finance, Economics, Mathematics, Statistics a plus)
• Demonstrated record of excelling in previous roles and responsibilities.
• Strong analytical, quantitative, and problem-solving skills.
• Strong written and verbal communication skills.
• Detail oriented and organized.
• Ability to thrive in a very fast paced environment.
• BONUS EXP:
  Advanced skills in Excel, SQL, R, Python.

• Advanced skills in Excel, SQL, R, Python.

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

Monks has provided a compensation range that represents its good faith estimate of what Monks may pay for the position at the time of posting. Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate’s sex or any other protected status.

Salary Range $80,000—$95,000 CAD

Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world. Through Monks.

Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time. By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long-term impact.

Monks was named a Contender in The Forrester Wave™:
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