Merkle
Director,Analytics
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“Director, Analytics at Merkle. Skills: Analytics, Data Analysis, Marketing Analytics, Statistical Modeling. Collaborate with Customer Analytics. Contribute to validation activities”
What You'll Achieve.
drive and execute data analysis; manage timely delivery of marketing data/reporting and analytics insights; provide recommendations for enhancement
Industry & Context.
Solve business problems by making actionable recommendations; developing and packaging analytical solutions
Up to 20% domestic travel required
What They're Looking For.
Must Have
Master’s degree or foreign equivalent in Statistics, Math, Economics, or related quantitative field, 2 years of experience, R, Python, SAS, SPSS, SQL, multi-variate statistics, logistic regression, multiple regression, multi-variate data mining techniques, Explaining and presenting advanced analytical methodology and results to non-technical audiences, Developing, testing, and evaluating marketing analytics tools, Developing project plans, program plans, or overall roadmaps, Managing individual and team day-to-day tasks, Meeting project deadlines, Developing reporting and dashboards to evaluate marketing performance and provide recommendations for enhancement
What You'll Do.
Collaborate with Customer Analytics
Contribute to validation activities
Utilize statistical and digital analytics tools
Conduct time-series forecasting
Solve business problems
Generate and manipulate digital data
Develop strategic marketing analytics recommendations
Anticipate project risks
Lead analytical projects
Manage junior analysts
Conduct quantitative marketing analyses
Build models to segment customer population
Supervise one professional direct report
How You'll Work.
Team & Collaboration
Collaborate with Customer Analytics and Data Sciences teams; Lead a team to complete large analytical projects; Manage and mentor junior analysts
Communication Scope
Explaining and presenting advanced analytical methodology and results to non-technical audiences; present variety of strategic marketing analytics recommendations
Process & Methodology
Developing project plans, program plans, overall roadmaps, Managing individual and team day-to-day tasks, Meeting project deadlines
Full Job Description
**Job Description:** * Collaborate with Customer Analytics and Data Sciences teams to formulate industry-best-practice analytic solutions * Contribute to a variety of validation activities such as model design, execution, assessment, data review and campaign/marketing performance evaluation * Utilize statistical and digital analytics tools including SAS, R, SQL, Tableau, Micro strategy, Adobe analytics, Google analytics, and DMP insight tools and statistical techniques including regression, ANOVA, cluster analysis, and factor analysis * Conduct time-series forecasting to drive and execute data analysis and manage timely delivery of marketing data/reporting and analytics insights in support of marketing campaigns * Solve business problems by making actionable recommendations and developing and packaging analytical solutions * Generate and manipulate digital data using systems and processes including media type web, ad, email, and mobile * Develop, write, and present variety of strategic marketing analytics recommendations and projects including customer profiling, lifecycle analysis, campaign test design, dashboard reporting, market basket analysis, product recommendations, and customer segmentation to identify new marketing opportunities for client accounts * Anticipate project risks and constraints and work on solutions to address * Lead a team to complete large analytical projects * Manage and mentor junior analysts * Conduct quantitative marketing analyses of marketing effectiveness and build models to segment customer population * May supervise one professional direct report in the Sr. Manager, Analytics position. Must have 2 years of experience with the following in order to complete the above-mentioned tasks: * R, Python or SAS, SPSS and SQL, multi-variate statistics, logistic regression, and multiple regression * Using multi-variate data mining techniques on unstructured business problems * Explaining and presenting advanced analytical methodology and results
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