The Role:
An exciting opportunity for a Marketing Mixed Modelling technical expert working for a global agency. You will work closely with the Analytics Directors to manage resources, implement process improvements and provide mentorship within a tight knit account team consisting of analysts, media planners and strategists as they work to analyse data and deliver valuable and relevant insights. Through data-driven insights, you will have the opportunity to shape the strategic direction of a client's marketing strategy.
Responsibilities:
Client Relationship Management
- Client Presentation: Present findings/insights as well as methodology/data approaches reliably to clients through a variety of different presentation opportunities
Team Operations
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Collaboration: Connect across planning, investment, and technology teams to ensure holistic understanding of data
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Management: Start your management career by having Associate, Sr. Associate and Associate Managers reporting into you and managing their workload and career development
Audience Discovery & Strategy
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Data Analysis: Become more seasoned in audience definition, creation and strategy using multiple data sources
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Data Analysis Management: Manage your team to organise and analyse data and facilitate insight generation for which you will be responsible
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Data Sources: Employ solid understanding of Audience data sources and how to best leverage them for each type of analysis
Measurement & Reporting
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Measurement: Develop breadth of knowledge measurement strategy, frameworks and technology
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Benchmarks & Goals: Set benchmarks and targets based on historical campaign data
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Reporting & Optimization: Oversee and QA the development of reports and directing optimisation initiatives
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Insights: Hone the ability to know what an insight is, and developing them for the campaigns
Data Strategy & Technology
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Data Technology Utilisation: Manage your team to oversee automation and improve processes for efficiencies
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Data Management: Be accountable for the maintenance and QA of data systems and processes used for reporting and on-going data analysis
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Data Visualization: Develop advanced Dashboards in visualization tools such as Tableau/QlikView/Looker
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Ad Operations: Apply advanced understanding of Ad Operations and QA procedures
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AdTech/MarTech: Evaluate and compare data, ad and MarTech vendors
Qualifications & Expertise Required:
- Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Information Management, Social Sciences or Business/Marketing related fields (advanced degree - MBA/MS - is preferred)
- 4-5 years of experience in a quantitative data driven field
- A passion for digital marketing, research and analytics
- Excellent communication and presentation skills
- Ability to work well with others and work in cross functional teams
- Ability to manage and prioritise a number of concurrent tasks
- Ability to clearly explain complex technical ideas to multiple audiences both verbally and in writing
- Comprehensive knowledge of ad technologies and research techniques (how they work, and how to troubleshoot)
- Ability to move beyond descriptive analytics and employ more sophisticated techniques (predictive & prescriptive analytics)
- Ability to set individual goals for analysts and measuring individual success/performance
- Experience/familiarity in SAS, SPSS, R or other advanced analytics software packages
- Experience/familiarity in ad-serving and web analytics tools (Google DFA, Atlas, Google Analytics, Omniture, etc.)
- Experience/familiarity with concepts of database design and SQL
- Experience/familiarity with syndicated research sources/tools (Gfk, MRI, Simmons, Scarborough, IMS, Nielsen, comScore)
- Experience/familiarity with digital ad effectiveness research
- Proficiency with Microsoft Excel and PowerPoint & a Data visualisation tool (Tableau)
- Familiarity with web technologies including HTML and Javascript
Diversity, equity and inclusion are at the heart of what we value as an organisation. Boston Hale is an equal opportunities employer, and all qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, age, disability or any other status protected by law.