Marketing Operations Data Analyst

Cenovus Energy•Columbus, OH

About The Position

Cenovus is seeking a Marketing Operations Data Analyst to join its team in the Dublin office. The role designs and implements business intelligence solutions and reporting for the broader refined products team, and works with Marketing Support to optimize processes and tools for efficient customer service support. The reports, dashboards, and KPIs developed in this position support improved business processes, efficiency, and portfolio optimization. The primary focus is project work and regular reporting. The role may also support and improve existing processes and solutions through troubleshooting, problem-solving, research, fact-finding, and ad hoc analysis.

Requirements

Legally authorized to work in the United States.
Bachelor’s degree in Engineering, Business, Data Science, Computer Science, Statistics, Mathematics, Information Systems, or a related field.
At least 2 years of experience, including at least 1 year in functional analysis and design of analytics and reporting solutions.
Experience with data analytics and/or reporting technologies such as Spotfire, R, UIPath, Alteryx, Microsoft Power BI, Microsoft SSRS, Tableau, WebI/SAP BusinessObjects, ACL, or related technologies.
Proficiency with one or more of R, Oracle, SQL, VB Script, or PowerShell for data extraction, transformation, and/or loading, including query design.
Strong presentation skills and ability to communicate strategically and effectively with internal stakeholders and management.

Nice To Haves

Experience in refining or refined product marketing.

Responsibilities

Transform unstructured data into analysis-ready formats and develop, maintain, and publish regular reports, metrics, and KPIs for management.
Mine and analyze data across systems, using AI-driven models to identify trends, anomalies, and optimization opportunities.
Analyze contract and deal performance drivers and support recommendations for portfolio optimization.
Champion selected projects, coordinate with internal groups, and provide system expertise to implement enhancements.
Partner with Marketing Support to optimize processes and tools for efficient customer service support.
Create data visualizations and presentations that communicate insights and support management decision-making.
Support and improve existing business processes and solutions, including troubleshooting, problem-solving, research, fact-finding, and ad hoc analysis.