Digital Analytics Manager

Zoro Tools

About Us:

Great prices. Fast shipping. Friendly service.

Since 2011, Zoro has been helping people who do— small businesses and hard-working folks like you. How do we do it? Make it easy to get the products you need to clean, build, and fix almost anything. … And have a little fun along the way.

https://www.zoro.com


Position Details

Digital Analytics Manager
Job
Full-time
7/9/2018
Northern Illinois
Buffalo Grove, IL

Zoro Tools is hiring a Digital Analytics Manager located in Buffalo Grove, Illinois. Our Buffalo Grove office is accessible via Metra/Pace from Chicago to Antioch (North Central Services). We are looking for entrepreneurial-minded talent that thrives in a high-growth, fast-paced and collaborative environment and embraces a “fail-fast and learn” mentality.

The Digital Analytics Manager will combine a strong knowledge of digital marketing and the ecommerce retail industry as well as an expert level understanding of web analytics platforms to produce actionable insights and make data-driven recommendations for the organization. The manager will serve as the subject matter expert for the Google 360 analytics suite, working closely with business stakeholders, internal IT and an external third-party to implement best practices and continually improve the end-to-end flow of ecommerce information.

The manager will lead the development and execution of fact-based reporting, and apply expertise linking a variety of disparate data sources including web, transactional, and third-party data to produce business insights, dashboards, standardized reports, statistical models and customer segmentation that will be presented to business stakeholders and company leadership.

Key Responsibilities:

  • Drive analytic projects that uncover actionable customer insights to guide short-term and long-term acquisition and retention efforts. 
  • Develop insights on relevant web purchase behavior, customer onsite search behavior, customer segments, customer journey, and purchasing trigger points. 
  • Assist in the on-going improvement of tagging and analysis related to Google 360. 
  • Analyze customers’ on site behavior to identify areas of opportunity, quantify impact, and make recommendations for future site enhancements. 
  • Formulate approach to execute more complex ecommerce challenges like multi-touch marketing attribution, customer journey mapping, and lifetime value. 
  • Assist the customer acquisition and customer experience teams with A/B and Multivariate testing. 
  • Work with the data engineering team to identify and warehouse relevant ecommerce data in a centralized location alongside other internal data sources to facilitate effortless data blending, extraction, and reporting.

Desired Background:

5-10 years of experience in digital analytics, digital marketing analytics, and/or e-commerce analytics.

Comprehensive knowledge of the entire Google 360 analytics suite including:

  • An understanding of the data flow from the datalayer through Google Tag Manager to Google Analytics and how to identify tagging inconsistencies.
  • Power user of Google Analytics with complete understanding of enhanced ecommerce, segments, audiences, product lists, custom dimensions, events, and data imports.
  • Dashboard building in Google Data Studio.
  • Clickstream analysis using Google Bigquery.
  • Onsite experience testing with Optimize.

Strong business acumen in finance, marketing, statistics, or project management and ability to understand business problems, develop hypothesis, design tests and learn

Experience with data manipulation languages is required (SQL, R, Python, etc.).

Leveraging APIs to extract data from Google Analytics, Google Adwords, etc.

Knowledge of advanced Excel formulas.

Experience interacting directly with user experience, onsite search, merchandising, and/or digital marketing teams is desired.

Familiarity with visualization tools and methodology (Power BI, Tableau, Looker).

Knowledge of Google Adwords, Google Doubleclick, or Clicktale is a plus.

Working knowledge of statistical tools and techniques is desired (linear/logistic regression, ANOVA, Cluster Analysis, etc.).

Academic background in analytics, statistics, marketing, business, or related field. Undergraduate college degree required; MA or MBA preferred

Self-driven, flexible and able to adapt to changing priorities; constantly looking for ways to learn, improve, and innovate.

A strong passion for data, charts, analysis, trends, and evangelizing data usage.



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