Lead Data Visualization Engineer

About Grainger:

Grainger is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. We achieve our purpose, We Keep the World Working®, by serving more than 4.5 million customers with a wide range of products that keep their operations running and their people safe. Grainger also delivers services and solutions, such as technical support and inventory management, to save customers time and money.

We're looking for passionate people who can move our company forward. As one of the 100 Best Companies to Work For, we have a welcoming workplace where you can build a career for yourself while fulfilling our purpose to keep the world working. We embrace new ways of thinking and recognize everyone you. Find your way with Grainger today.

Position Details:

We are looking for an experienced lead Data Engineer to join our growing team of analytics experts. You will lead the Data Visualization platforms, providing solutions that provide valuable insight to our organization, educating our users about self-service capabilities and best practices. You are comfortable supporting the data needs of multiple teams, systems and products. You will be excited by the prospect of optimizing or even re-designing our BI architecture to support our next generation of products and data initiatives.

You Will:

• Be a lead for Data Engineers to manage our BI infrastructure – Tableau, Power BI and Business Objects
• Work with partners including the Product, Data and Design teams to assist with data, system related technical issues and support the data infrastructure needs.
• Work with data and analytics experts to work toward greater functionality in our BI space
• Work with Data Architects in redesign our current BI architecture to support our next generation BI tools
• Monitor key system/server related metrics to identify trends, insights, and opportunities for improvement.
• You will conduct office hours, enablement series and educating users on latest trends and best practices in business intelligence and share knowledge and insights with the team and the wider organization.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.

You Have:

• 8+ years of experience in a Data Engineer role
• Advanced working SQL experience working with relational databases, query authoring (SQL) and working familiarity with a variety of databases.
• Solid experience with the administration/operations of Business Intelligence (BI) applications with server-based components, e.g. Power BI Gateway, Tableau, BOBJ
• Technical skills, with experience in data visualization tools such as Tableau, Power BI, or BOBJ.
• Knowledge of Python, or other programming languages used in data analysis is a must.
• Hands-on experience on cloud-based technologies such as AWS, Snowflake, DBT and Airflow
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Experience supporting with cross-functional teams

Rewards and Benefits:

With benefits starting day one, Grainger is committed to your safety, health and wellbeing. Our programs provide choice and flexibility to meet our team members' individual needs. Check out some of the rewards available to you at Grainger

• Medical, dental, vision, and life insurance plans
• Paid time off (PTO) and 6 company holidays per year
• Automatic 6% 401(k) company contribution each pay period
• Employee discounts, parental leave, 3:1 match on donations and tuition reimbursement
• A comprehensive set of emotional, financial, physical and social wellbeing programs

DEI Statement

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.