Role Purpose The Advanced Analytics - Lead Analyst will use in-depth knowledge in quantitative database marketing and an understanding of business processes to develop technical solutions for business issues. Serves as a resource within area of expertise and provide guidance to other team members; may eventually lead small teams on a project basis.
Key Responsibilities Perform advanced analytics tasks, including but not limited to:
Predictive statistical models
Data Analysis and Mining
External Data Enhancement
Assists in determining quantitative methods for solving client issues
Assist in presenting ideas and findings to future and existing clients
Proactive and effective interaction with other internal groups throughout Merkle
Evaluation and improvement of internal tools and processes
Anticipate project risk and constraints and proactively work on solutions to address the risk/constraints
Lead complex analytical projects end to end
Creation of best practices, case studies and training class materials should be encouraged
Could blend into MI or Data Scientist responsibilities
Strong presentation skills required (PowerPoint)
Very strong Excel skills required (VBA not necessary)
Experience with SQL required
Experience with SAS or Python or R required
Experience with Tableau preferred
Excellent written and oral communication skills
Ability to explain advanced analytical methodology and present results to non-technical audiences
Ability to discover hidden insights or complex patterns through advanced multi-variate data mining techniques on un-structured business problems
Ability to execute advanced analytic tasks (including but not limited to modeling, segmentation, DOE, forecasting, etc.) and create meaningful analytical outputs
Ability to identify areas for statistical innovation or process improvement, do independent research, develop innovative approaches or processes/codes to 1) improve client business results, 2) improve efficiencies, 3) reduce potential errors
Ability to translate analysis insights into actionable recommendations and strategies for digital marketers
Ability to create robust analytics solutions to optimize digital marketing
Must have project management experience
3-5 years of experience applying statistical techniques such as regression, ANOVA, cluster analysis, factor analysis, time series forecasting, experimental and design, etc. to solve business problems
1-3 years of experience in quantitative marketing arena, in database and/or digital (addressable) marketing, including strong understanding of relational database concepts and direct marketing concepts
Possess core analytical competencies such as ability to formulate an analytical problem; QC data and results; Summarize key findings/insights; Make actionable recommendations; and develop new and innovative analytical solutions to solve challenging business problems
Understanding of digital data including the systems and processes used to generate and manipulate it by media type web, ad, email, mobile, etc.
Development of specific expertise areas within digital and sharing of that expertise through MU classes, white papers, articles, conference presentations, etc.
Possess client/team engagement competencies such as gather specifications, develop analytical roadmap and approach and manage expectations, and coordinate delivery with internal team
Bachelor's Degree (B.S.) or equivalent in statistics, math, economics or related scientific/quantitative field plus several years' experience in applied disciplines; Advanced degree (M.A., M.S., Ph.D.) preferred
Contribute to innovation, process improvement, standardization
At Merkle, we believe that a diverse environment improves us as a community and as a business. We want to foster an environment of growth, where all ideas and contributions are encouraged. We need this culture of courage to continue to thrive in our fast-paced industry. We embrace differences of opinion. We value diversity of experience and thought, which help us to challenge and define industry-leading solutions, and support our goal of being a great place to work.
All your information will be kept confidential according to EEO guidelines.