Marketing Mix Modelling Data Scientist

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 opportunitiesTeam Operations

Collaboration: Connect across planning, investment, and technology teams to ensure holistic understanding of data
Management: Start your management career by having Associate, Sr. Associate and Associate Managers reporting into you and managing their workload and career developmentAudience Discovery & Strategy

Data Analysis: Become more seasoned in audience definition, creation and strategy using multiple data sources
Data Analysis Management: Manage your team to organise and analyse data and facilitate insight generation for which you will be responsible
Data Sources: Employ solid understanding of Audience data sources and how to best leverage them for each type of analysisMeasurement & Reporting

Measurement: Develop breadth of knowledge measurement strategy, frameworks and technology
Benchmarks & Goals: Set benchmarks and targets based on historical campaign data
Reporting & Optimization: Oversee and QA the development of reports and directing optimisation initiatives
Insights: Hone the ability to know what an insight is, and developing them for the campaignsData Strategy & Technology

Data Technology Utilisation: Manage your team to oversee automation and improve processes for efficiencies
Data Management: Be accountable for the maintenance and QA of data systems and processes used for reporting and on-going data analysis
Data Visualization: Develop advanced Dashboards in visualization tools such as Tableau/QlikView/Looker
Ad Operations: Apply advanced understanding of Ad Operations and QA procedures
AdTech/MarTech: Evaluate and compare data, ad and MarTech vendorsQualifications & 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 JavascriptDiversity, 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