**
Chevron is seeking a Communications Data Analyst to support its Corporate Affairs team by managing and analyzing data related to communications and marketing efforts. The role involves building reporting infrastructures, ensuring data quality, and collaborating with technical teams to enhance decision-making through data insights.
**
Job Summary
The AI, Data & Insights team is a newly created function within Corporate Communications responsible for driving and championing the use of data to deliver meaningful insights, consistent measurement frameworks, and the application of the right metrics, data, and tools to inform decision-making and optimization.
This role sits inside Chevron’s Corporate Communications organization and regularly partners with our technical and IT teams, collecting, processing, and structuring data from across our communications and marketing platforms to support reporting needs.
Chevron offers a complete package and provides career development opportunities to all employees, advocating work-life balance and offering employees access to various health and wellness programs, as well as hybrid work models and alternative work schedules.
Matching Summary
Match Score: 75
**
Chevron is seeking a Communications Data Analyst to support its Corporate Affairs team by managing and analyzing data related to communications and marketing efforts. The role involves building reporting infrastructures, ensuring data quality, and collaborating with technical teams to enhance decision-making through data insights.
**
Skills & Requirements
Must-have
Communications and marketing data platforms
Data collection and processing
Dashboard and report building
Data quality assurance
Taxonomy management
Data governance standards
Nice-to-have
Ownership mentality
Builder's mindset
Low-oversight autonomy
Curiosity
Drive for continuous improvement
Key Requirements
5+ years of experience in analytics for communications/marketing
Bachelor's degree in Data Science, Marketing, Communications, Statistics, or related field
Proficiency in SQL, Excel, Python, or R
Experience with data visualization tools (Tableau, Power BI, Looker)