CRM Data Analyst

 In

Website Big Data

Reference Code: 5175

We are looking for an innovative, positive, self-directed team player who is passionate about “figuring out.” and can work remotely. A CRM Data Analyst/Scientist reports directly to the Director of Financial Planning and Analysis and will lead efforts to build the architecture and solve some of the most analytically complex questions for a retail company. These will include leveraging data from web traffic, sales, and customer data and turning it into actionable insights.

Responsibilities:

Design

  • Strategically contribute in driving business decisions through data and analytics
  • Work with IT and vendors to derive an architecture that will allow for data mining and analytics
  • Design and implement report/dashboards for the consumption of business stakeholders
  • Develop consistent approaches and methodologies, automate repeatable tasks and drive process efficiencies
  • Support the design and implementation of multi-channel CRM

Analyze

  • Analyze multiple data sets to extract insightful understanding of customer behavior across multiple channels
  • Conduct statistical analysis and test hypothesis around business questions
  • Design and develop data driven model that captures Lifetime Customer Value across all channels
  • Forecast performance measures for customer cohorts that feed into financial planning
  • Assist in the design of unique marketing campaigns/incentives, considering payback and ROI

Communicate

  • Translate complex analytics into concise and easily consumable outputs to assist stakeholders with data driven decisions

Our Ideal Candidate will have:

  • Bachelor’s degree or equivalent experience in mathematics, statistics, marketing, business analytics, or economics
  • 5+ years’ experience in data analysis in consumer/retail marketing analytics/data mining for a high-growth company
  • Experience with complex database querying using SQL (or similar query language); working knowledge of BI/visualization tools is (Tableau, Spotfire, Qlickview, etc.) is a plus
  • Mastery of Excel, including pivot tables, and PowerPoint slide creation
  • A proven ability to execute with consistent delivery and reprioritize based on evolving business needs
  • Command of databases and data warehousing techniques
  • Comfortable presenting insights from quantitative analysis and models to a non-technical audience
  • Familiarity of concepts around revenue and profit optimization (Application of design of experiments and measurement in marketing)
  • A strong ability to build cross functional partnerships and work collaboratively
  • A growth mindset: desire to learn, grow and embrace new ideas

 

 

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