PHD is a global communications planning and media buying agency network delivering smart strategic thinking and creative innovation for the world’s leading brands. Brilliant media thinking is in our DNA. A culture of thought-leadership, creativity and innovation has seen us grow from a challenger agency in the UK, to a global leader with over 6,000 employees in over 100 offices worldwide. We combine the latest industry insight with the best creative minds to produce planning innovation and create award-winning work for some of the world’s largest advertisers. Finding a better way is our ethos and sums up how we approach everything – from a new client brief to the way we work.
PHD Senior Analyst, Analytics,
Overview
PHD is a global communications planning and media buying agency network delivering smart strategic thinking and creative innovation for the world’s leading brands. Brilliant media thinking is in our DNA. A culture of thought-leadership, creativity and innovation has seen us grow from a challenger agency in the UK, to a global leader with over 6,000 employees in over 100 offices worldwide. We combine the latest industry insight with the best creative minds to produce planning innovation and create award-winning work for some of the world’s largest advertisers. Finding a better way is our ethos and sums up how we approach everything – from a new client brief to the way we work. As a Senior Associate on the Marketing Science team, you will develop actionable insights through quantitative analysis, innovative thinking, and your growing industry knowledge. You will use your strong analytic and technical knowledge to design, produce, automate, and evolve reports. In addition, you will be a proactive collaborator in insight generation and evolution of advertising programs that are proven to drive business results.
Responsibilities
Desired Experience
- Data Knowledge: Experience with different types of behavioral data and/or syndicated research data sources
- Analytic Mindset and Creativity: Ability to creatively problem solve
- Cross-Channel Analytics: Working understanding of offline and online channel KPI’s
- Structured Analysis/Statistical Understanding: Experience structuring data to get the most accurate read
- Media Foundations: Beginning foundation of understanding media strategy, budget setting, and channel selection
- Data Science: Experience applying more advanced analytics/statistics using code Qualities
- Curiosity and Forward Thinking: A natural and persistent inclination to explore, discover, and learn, and a general fascination with analytics
- The drive to go beyond asking “what?” to ask “why?”; a commitment to digging beneath the surfaces and interrogating information versus accepting it at face value
- Collaboration: A desire to create a collaborative working environment where the notion of team comes before companies
- Adaptability, Flexibility, and Resilience:
- A comfort with fast paced, intense, changing business and everything that comes with that; client’s shift strategic direction incredibly fast, you must have a temperament that enjoys and reacts positively to change
- Problem solving: An ability to figure out and solve problems on your own, leveraging all resources available
- Creativity: A knack to think, solve problems in non-linear ways and connect dots to craft compelling stories
- Confidence: A willingness to share opinions and present recommendations with conviction C
Qualifications
- Education & Experience: Bachelor’s degree in Math, Economics, Engineering, Social Sciences, Finance, Analytical Fine Arts, or Business/Marketing fields.
- English Advanced (Mandatory skill)
- Live in Mexico City or Metropolitan Area
- 2-3 years of experience, preferably in marketing analytics - Ability to think logically and use quantitative techniques to solve problems such as campaign analysis, optimization, data management, data operations and/or predictive modeling
- Strong proficiency with MS Excel, PowerPoint is a must
- Familiarity and beginning experience with:
- Ad-serving and web analytics tools (DCM, DV360, IAS/Moat, Facebook Advanced Analytics, Google ADH, Google Analytics, Adobe, etc.) - Behavioral data sources (Acxiom, Experian, Clickstream, Location, IRi, Liveramp) - Syndicated research sources/tools (Gfk, MRI, Simmons, Scarborough, IMS, Nielsen, comScore)
- Cross-media brand lift research (Kantar, Lucid, etc.)
- Experience with and application of one of the following:
- Data visualization: tools such as Tableau, Datorama, Alteryx
- Advanced analytics software packages: SQL, R, Python or other
- Concepts of database design and SQL
This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.
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