About the position
We are looking for a talented Analytics Engineer to join the Enterprise Finance Data & Analytics team who is passionate about solving business problems with advanced analytics. You will translate raw data into valuable business insights, guide data initiatives to measure financial performance, build dashboards and support key performance indicators. The candidate will have a background in data engineering, proficiency in SQL, proven data visualization skills, and experience engaging with executive audiences. The candidate will be comfortable with ambiguity in a fast-paced environment, displaying big-picturing thinking while paying careful attention to detail. In this position you will be responsible for maintaining a strong relationship with partners in the Finance team and IT along with contributing to the design, support, and growing scale of finance related data products where accuracy, completeness, immutability, security, and timeliness are key to success. This position will be located at one of our plants located in either Newark, Delaware or Phoenix, Arizona with the possibility of a hybrid remote work arrangement, depending upon the responsibilities of the role and business needs. Relocation assistance may be available for this position.
Responsibilities
- Design, develop, and optimize key business metrics, reports, analyses and dashboards to drive business decisions
- Use data visualization, statistics, and storytelling to effectively answer open-ended business questions
- Manage data pipelines, data semantic models, reports, and dashboards through the data development lifecycle
- Work with data engineers on our scalable data infrastructure for analytics
- Document and provide training for business users on BI tools and data workflows
- Continually improve the dashboard experience, automating or simplifying self-service support for end-users
- Build analytics tools that utilize the data pipeline to provide actionable insights into key business performance metrics
- Partner with Finance to translate business needs into technical requirements, data products and actionable insights
- Implement data privacy and security measures
- Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
Requirements
- Bachelors/Masters in Computer Science, Information Systems, Business/Data Analytics or a related field
- Minimum 4 years of experience creating dashboards and interactive reports in BI tools (Power BI, Cognos Analytics, Tableau, Databricks, etc)
- Minimum 2 years of SQL experience with a solid understanding of CTEs, Sub-queries, and window functions
- Minimum 4 years of experience in an analytics field with data engineering exposure
- Experience with Git-based tools such as Azure DevOps or Github
- Experience in multi-unit/legal entities, multi-currency, and complex organizations
- Working knowledge of Databricks to write production-level queries
- Applied knowledge of visual design principles for effective data communication
- Excellent communication and collaboration skills
- Ability to Identify opportunities to leverage technology to solve business problems. Drive efficiency of finance processes by automating, simplifying, or eliminating routine work
Benefits
- Comprehensive and competitive total rewards program
- Choice and flexibility in benefits promoting overall well-being
- Distinctive Associate Stock Ownership Plan
- Potential opportunities for profit-sharing
