Overview

Dexter, the premier manufacturer and supplier of axles, suspension, brakes, doors, venting products, trailer parts, accessories, and towing components serving the commercial trailer, RV, heavy-duty, marine, agriculture, and manufactured housing markets has an opportunity for an eCommerce Business Intelligence Analyst at our distribution facility located in Lisle, IL. 

Headquartered in Elkhart, Indiana, Dexter employs over 3,800 people throughout the U.S. and Canada, operates 18 manufacturing facilities, and distributes trailer parts and accessories through over 30 company-owned distribution locations. Employing state-of-the-art robotics, precision welding equipment, and automated machining processes, Dexter has achieved many years of success through a commitment to the principles of superior quality, continuous improvement, and unparalleled customer service.

For more information about our company, access Dexter's web site at www.dextergroup.com.

Position Summary

Position Overview 

As an eCommerce Business Intelligence Analyst the primarily focus will be on the management, analysis, and reporting of data related to Dexter’s e-commerce business. 

The BI Analyst will help the e-commerce team understand how e-commerce is performing, identify areas of opportunity, and, in the long term, increase the company’s overall analytics and data governance capabilities. The role will effectively blend disparate data, perform exploratory data analysis (EDA), draw conclusions, and synthesize findings into visual charts/tables and reports. Over time, we expect this role to take a larger responsibility with BI reporting and expand into dashboard development. 

A Typical Day in the Life of an eCommerce Business Intelligence Analyst at Dexter: 

• Develop and maintain scalable, automated dashboards and reports that benchmark and track progress against key operational performance goals and initiatives. 
• Work with management and/or internal stakeholders to define business requirements and analytical needs and execute against them. 
• Develop a deep understanding of existing eCommerce performance, customer, and productivity metrics, and develop new KPI's, metrics, and measures to gauge eCommerce performance. 
• Own regular and ad-hoc analysis on operational performance and projects to continuously improve and scale Albertson's eCommerce operations. 
• Understand and communicate root causes of impacts to performance and attainment of business objectives. 
• Develop actionable insights and areas of opportunity for eCommerce operational performance, make recommendations to operating teams, and present findings to business stakeholders. 
• Conduct data mining, regression analysis and other quantitative analysis using industry standard statistical and business analytics techniques. 
• Perform data modeling using/modifying existing models. 
• Work to define and structure eCommerce customer and operational data and ensure reliability and integrity of data sources. 
• Partner across departments or business groups to obtain information, align priorities, and obtain buy-in from stakeholders and functional owners. 
• Flag opportunities and challenges using data in the current processes and metrics to ensure proactive response and help business course correct or seize opportunities. 
• Partner with eCommerce Product Managers on improving in-store customer experience measurement and reporting with the goal of driving highly actionable results. 
• Partner with Data Science teams to build Power BI dashboards that are more predictive of future outcomes to get ahead of the opportunities and/or issues 

Requirements

A Successful eCommerce Business Intelligence Analyst Typically Has: 

• Bachelor’s degree and minimum 2 years of experience monitoring, managing, and drawing insights from data. In lieu of a bachelor’s degree, candidate can be actively progressing towards a bachelor’s degree in business analysis, data science, operations research or similar field. 

• Strong Excel skills are required for analysis and automation. 
• Some training or background is required in statistical concepts and EDA methods and how to perform in Excel (e.g., Solver and Analysis toolpacks) 
• Some exposure/background to a BI visualization tool such as PowerBI, Tableau or Qlik is a nice-to-have. 
• Understanding of the end-to-end data supply chain.
• Solid communication skills, including written, spoken, and presentation communication, with the ability to effectively communicate and influence across disciplines and levels of the organization. 
• Experience working collaboratively at all levels and across business lines using influencing skills. 
• Be adaptable and exhibit a growth mindset, demonstrating flexibility and the ability to learn from both success and failures. 
• Be a strong team player, a natural innovator and builder.