Communications Data Analyst

About the position

Corporate Affairs proactively manages social, political, and reputational risks for Chevron and engages the workforce to advance the business. We strengthen Chevron’s strategic advocacy, communications, and social investments to build confidence in our company and industry. 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. We partner with teams across owned, earned, paid, and internal communications through all measurement stages, from using data and insights to set strategy and design campaign approaches to analyzing impact and identifying areas for improvement. Our mission is to bring clarity and rigor to how Chevron understands the impact of its communications. We’re looking for a Communications Data Analyst to own the data foundations and reporting infrastructure that make our measurement work possible. This role sits inside Chevron’s Corporate Communications organization and regularly partners with our technical and IT teams. You’ll collect, process, and structure data from across our communications and marketing platforms to support the reporting needs and use case requirements of the communications team, build the dashboards and reports that keep teams informed about performance, and ensure the quality, governance, and consistency of everything flowing through the measurement ecosystem. What sets this role apart is a deep fluency in communications and marketing data — the platforms, the metrics, and how different sources connect — combined with the technical ability to turn that knowledge into reliable, actionable reporting infrastructure.

Responsibilities

• Data Collection & Processing: Extract, transform, and load data from various communications and marketing platforms into the measurement ecosystem. Clean and preprocess data to ensure accuracy and consistency. Develop scripts and workflows to automate data collection and processing tasks, reducing manual effort and increasing reliability.
• Data Analysis & Interpretation: Perform exploratory data analysis to uncover trends, patterns, and anomalies across communications performance data. Apply statistical and analytical techniques to derive insights from complex datasets. Conduct hypothesis testing and predictive modeling to support communications and business objectives.
• Dashboards & Reporting: Build and maintain campaign performance dashboards, scorecards, and recurring reports that clearly communicate performance against KPIs using tools such as Tableau, Power BI, or Looker. Ensure all reporting outputs are grounded in accurate, governed data and consistent metric definitions.
• Data Quality Assurance: Validate data accuracy, completeness, and integrity across all sources feeding the measurement ecosystem. Identify and address data quality issues and discrepancies. Implement data quality controls and monitoring mechanisms to catch issues before they reach downstream reporting.
• Taxonomy Management: Own and evolve the taxonomy that standardizes how communications outputs are classified across owned, earned, paid, and internal channels, ensuring consistency and comparability across the measurement ecosystem.
• Data Governance & Quality: Establish and maintain data governance standards, including documentation of data sources, metric definitions, calculation methodologies, and data lineage across all reporting outputs.
• Data Management & Enablement: Structure, organize, and maintain data in a way that supports the reporting needs and use case requirements of the communications team, ensuring analysts and communicators can access the right data in the right format to answer the questions they need to answer.
• Cross-Functional Partnership: Partner with engineering and IT teams to translate measurement requirements into data infrastructure needs, and work with platform teams to ensure data pipelines are delivering accurate, timely information.

Requirements

• Bachelor’s degree in Data Science, Marketing, Communications, Statistics, or a related field.
• 5+ years of experience applying analytics to measure effectiveness within a communications, marketing, or public affairs function.
• Strong understanding of the core components of a marketing analytics data pipeline, from data ingestion and transformation through to reporting and visualization.
• Deep familiarity with the platforms, data structures, and metrics common to owned, earned, paid, and internal communications channels, with demonstrated experience working with platforms such as Sprinklr, Meltwater, Google Analytics, social media analytics tools, and media monitoring platforms.
• Strong proficiency in data visualization tools (e.g., Tableau, Power BI, Looker) with proven ability to build dashboards and recu…