Quigley-Simpson & Heppelwhite
Senior Director, Analytics
Quigley-Simpson & Heppelwhite, Los Angeles, California, United States, 90079
Summary:
Quigley-Simpson seeks a Senior Director, Data & Analytics to research, analyze, and report on omni-channel media, including market trends, competitors, customers, and campaign performance. The candidate should have marketing analytics experience across multiple channels and knowledge of aligning KPIs with the purchase funnel. Proficiency in rules-based attribution models, a strong foundation in predictive analytics and statistics, and SQL for database exploration is required. The Senior Director will collaborate with multidisciplinary teams in a fast-paced environment to deliver analytics solutions to clients.
Core Accountabilities:
Lead and mentor 1-4 analysts, senior analysts, or managers
Manage assigned client engagements and workloads
Manage data visualization platforms, including managing the API connections and offline data inputs, updating data models as needs change, establishing templates and best practices for the organization
Develop and deploy machine learning models (linear/logistic regression, decision trees, neural networks, clustering)
Understand and help define the Key Performance Indicators (KPIs) of campaigns and marketing activities, and derive relevant metrics, targets, and data collection strategies
Devise and own analytics and reporting processes, including requirements-gathering in collaboration with internal stakeholders
Execute data visualization and dashboards in Tableau
Manage and adhere to client and internal SLAs
Function as a liaison between account teams and technical resources to translate business needs into data infrastructure and reporting approach
Analyze collected data and present results, including hypothesis development
Perform analytical “deep dives” as needed
Monitor and provide optimizations recommendations for omni-channel campaigns
Design and conduct A/B testing and make recommendations for optimization
Assist and help with new business initiatives by providing analytical support, insights, and recommendations for potential clients and pitches
Demonstrate strong storytelling abilities and the capability to explain complex concepts clearly and effectively to both internal and client stakeholders
Required Skills/Experience:
8+ years in analytics overall; 8+ years in marketing analytics
8+ years working in a client-focused environment, such as an ad agency or adjacent business
8+ years of experience working with a data visualization tool and experience designing dashboards for different stakeholders with different needs and goals
Experience with web analytics platforms and using them to analyze paths to conversion and to generate insights around the impact of marketing
Experience providing analysis and insights for one or more of the following: web and search traffic; email messaging statistics; social media trends; and offline media impact
Experience conducting ROI analysis, making optimization recommendations and developing key insights for online and/or offline advertising
Expert knowledge in SQL and one of these programming languages: Python or R
Intermediate understanding of database design principles and concepts (ERDs, primary keys, candidate keys, indexing, etc.)
Deep understanding of ETL utilizing tools like FiveTran, Funnel.io, Alteryx, Knime, Snowflake, AWS, and Azure
Has successfully managed projects through partnerships with cross-functional teams, both internal and external
Ability to work collaboratively well within a team environment
Highly detail-oriented and organized with the ability to multitask and work in a fast-paced environment
Bachelor’s degree in quantitative field required, Master’s degree highly preferred
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Quigley-Simpson seeks a Senior Director, Data & Analytics to research, analyze, and report on omni-channel media, including market trends, competitors, customers, and campaign performance. The candidate should have marketing analytics experience across multiple channels and knowledge of aligning KPIs with the purchase funnel. Proficiency in rules-based attribution models, a strong foundation in predictive analytics and statistics, and SQL for database exploration is required. The Senior Director will collaborate with multidisciplinary teams in a fast-paced environment to deliver analytics solutions to clients.
Core Accountabilities:
Lead and mentor 1-4 analysts, senior analysts, or managers
Manage assigned client engagements and workloads
Manage data visualization platforms, including managing the API connections and offline data inputs, updating data models as needs change, establishing templates and best practices for the organization
Develop and deploy machine learning models (linear/logistic regression, decision trees, neural networks, clustering)
Understand and help define the Key Performance Indicators (KPIs) of campaigns and marketing activities, and derive relevant metrics, targets, and data collection strategies
Devise and own analytics and reporting processes, including requirements-gathering in collaboration with internal stakeholders
Execute data visualization and dashboards in Tableau
Manage and adhere to client and internal SLAs
Function as a liaison between account teams and technical resources to translate business needs into data infrastructure and reporting approach
Analyze collected data and present results, including hypothesis development
Perform analytical “deep dives” as needed
Monitor and provide optimizations recommendations for omni-channel campaigns
Design and conduct A/B testing and make recommendations for optimization
Assist and help with new business initiatives by providing analytical support, insights, and recommendations for potential clients and pitches
Demonstrate strong storytelling abilities and the capability to explain complex concepts clearly and effectively to both internal and client stakeholders
Required Skills/Experience:
8+ years in analytics overall; 8+ years in marketing analytics
8+ years working in a client-focused environment, such as an ad agency or adjacent business
8+ years of experience working with a data visualization tool and experience designing dashboards for different stakeholders with different needs and goals
Experience with web analytics platforms and using them to analyze paths to conversion and to generate insights around the impact of marketing
Experience providing analysis and insights for one or more of the following: web and search traffic; email messaging statistics; social media trends; and offline media impact
Experience conducting ROI analysis, making optimization recommendations and developing key insights for online and/or offline advertising
Expert knowledge in SQL and one of these programming languages: Python or R
Intermediate understanding of database design principles and concepts (ERDs, primary keys, candidate keys, indexing, etc.)
Deep understanding of ETL utilizing tools like FiveTran, Funnel.io, Alteryx, Knime, Snowflake, AWS, and Azure
Has successfully managed projects through partnerships with cross-functional teams, both internal and external
Ability to work collaboratively well within a team environment
Highly detail-oriented and organized with the ability to multitask and work in a fast-paced environment
Bachelor’s degree in quantitative field required, Master’s degree highly preferred
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