Marketing Analyst


Location:

WEST CHESTER, PA

Date Posted:

May 17, 2019

Employment Type:

Permanent

Job Reference:

03720-0010920318

Staffing Area:

Creative & Marketing


Description
Senior Analyst, Digital Merchandising Analytics will lead customer analytics efforts and help guide the digital merchandising strategy. In this role you will collaborate closely with business leaders, providing them with comprehensive customer behavioral and merchandising insights to support the decision-making process. You will be responsible for helping to shape the digital merchandising strategy by providing critical business insights and helping to manage customer expectations. Senior Analyst will analyze merchandising assortment and marketing tactics through statistical modeling, key driver analysis, customer segmentation and profiling, the design of experiments, competitive analysis, and data mining.


Job Responsibilities

Digital Merchandising Insights
• Leads and executes ad-hoc projects that inform both the strategic and tactical initiatives of the digital merchandise team
• Identify business trends and shifts, and recommend data-driven responses to the organization
• Use digital merchandise centric data analysis, data visualization, a/b testing and predictive modeling methods to optimize across channels and within campaigns
• Design merchandising, targeting and segmentation recommendations to optimize digital sales across channels

Digital Customer Insights
• Use customer-centric data analysis, data visualization, segmentation, a/b testing and predictive modeling methods to optimize across channels and within campaigns
• Use statistical methods and tools to test hypotheses, develop insights and make recommendations
• Design targeting and segmentation schemes to optimize marketing spend
• Identify business trends and shifts, and recommend data-driven responses to the organization
• Conduct research on and provide insight into industry / competitive marketing trends
• Stay informed about, communicate, and apply new or current trends and best practices in ecommerce analytics
• Develop deep subject matter expertise and act as a Digital Merchandising Analytics subject matter expert within the organization
• Partner with technology teams to build out a best-in-class digital merchandising and marketing platforms and data infrastructure
Requirements
SQL - Structured Query Language, SSAS - SQL Server Analysis Services, Analysis, Compensation Analysis, Market Analysis, Sales Analysis & Reporting, Statistical Analysis, Python, Tableau, Database Creations

Required Qualifications
• Bachelor’s degree in math/stats/engineering or related, 5+ years of experience in digital merchandise analytics.
• 2 years of experience with marketing analytics (e.g. digital tactics, targeting and customer segmentation, lifetime value forecasting, and incremental response modeling, etc.)
• Experience with analysis tools including Excel VBA, R, SPSS, Python, R, and SAS. Demonstrates expertise with SQL, Tableau, & BigQuery
• Knowledge of digital analytics tools (Coremetrics, Google Analytics), data visualization tools (Tableau), statistical computing tools (R, SPSS), query and database access tools (MicroStrategy), A/B testing and targeting strategies, and digital analytics industry trends and best practices.
• Understanding of disparate methodologies of digital audience measurement Proficiency with digital media research and analytics tools including Coremetrics, Hitwise, Google Trends, and Similar Web.
• Knowledge of marketing technologies such as attribution, bid management, ad servers, tag management, etc.
• Applies higher level technical concepts (e.g. testing, regressions, etc.) & tools (e.g. Python, R, etc.)
• Advanced capabilities in modeling, extracting, and manipulating large data sets, Deep understanding of incremental analysis
• Experienced in applying a variety of statistical techniques to find actionable insights Understanding of sampling and testing methodology including A/B splits and multivariate testing
• Ability to diagnose complex queries independently
• Leads cross-functional projects; works independently with Business Intelligence to ensure data integrity
• Deep analytical skill set and experience in media analysis
• Constantly explores automation and reduces project lifecycle via technology, efficient querying, automation, etc.
• Ability to synthesize qualitative and quantitative data to arrive at data driven conclusions and express them intuitively
• Able to translate complex data into action by clearly and cogently communicating the implications of analyses from peers up to senior management.
• Ability to influence senior leadership and decision makers across departments. Strong leadership skills; ability to motivate, inspire, coach and develop team members
• Ability to manage team priorities, work cooperatively, influence and collaborate with cross-functional teams in a very fast paced environment
• Strong communication and persuasion skills


If Interested please send resume to [email protected]
Only candidates qualified for this role will be contacted

Not qualified for this role? Connect with me on Linkedin for more opportunities!

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