Analytics, Associate

Job Description

Role Purpose The Advanced Analytics - 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 more junior team members; may lead small teams on a project basis.Key ResponsibilitiesPerform advanced analytics tasks, including but not limited to:- Predictive statistical models- Customer profiling- Segmentation Analysis- Survey Design and Analysis- 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 a team to complete large complex analytical project end to end- Creation of best practices, case studies and training class materials should be encouraged.- Could blend into MI or Data Scientist responsibilitiesKey Skills and Experience

• Experience with MS Office (Word, Access, Excel, PowerPoint, Outlook) required
• Experience with SAS and SQL required.
• Experience with Tableau strongly preferred.
• Excellent written and oral presentation skills
• Ability to explain/present complicated/advanced analytical methodology and 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

Qualifications

• Must have experience with modeling and statistical concepts
• Experiences with applying statistical techniques such as regression, ANOVA, cluster analysis, factor analysis, time series forecasting, experimental and design, etc. to solve business problems
• Possess core database marketing knowledge such as understanding of Merkle and client data, 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.
• Recognized as a thought leader in a specific digital area.
• Possess client/team engagement competencies such as gather specifications, develop analytical roadmap and approach and manage expectations, and coordinate delivery with internal team

Other:

• 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
• 1-2 years of experience in quantitative marketing arena, in database and/or digital (addressable) marketing
• Contribute to innovation, process improvement, standardization
• Deliver high quality analytical solutions on-time
• Develop project plan; manage the day-to-day tasks; and meet project deadlines
• Develop and retain "A" players
• Deliver constructive feedback to employees; hold difficult conversations with team members, in conjunction/with support from project lead and/or people manager(s) present (for "air cover" and documentation purposes)
• Support resource deployment/re-deployment to be able to staff and adapt to resourcing challenges

Additional Information

Merkle