Communications Data Analyst

Chevron is accepting online applications for the position Communications Data Analyst through 3/23/2026 at 11:59 p.m. Central Time .

Join our Team

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.

About Our Team

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.

Position Overview

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.

Key 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.

Key Skills & Qualifications

• 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 recurring reports that translate complex data into clear, actionable views for both technical and non-technical audiences.
• Strong command of data quality principles, validation techniques, and governance frameworks in a communications or marketing context, with the ability to translate those principles into repeatable processes that ensure quality assurance across data streams.
• Experience designing and maintaining taxonomy and classification systems that bring consistency to how content and channels are categorized and measured across an organization, including familiarity with taxonomy design standards and quality controls within a marketing or communications data environment.
• Understanding of how data from different sources relates and connects, including familiarity with high-level data engineering concepts such as data lakes, ETL processes, data tables, metrics, and dimensions.
• The ability to investigate data discrepancies, trace issues to their source, and resolve them in partnership with technical teams.
• The ability to work across technical and non-technical partners, translating between the needs of analysts and the realities of data infrastructure.
• Proficiency in data analysis tools and languages such as SQL, Excel, Python, or R.
• Familiarity with data ingestion platforms such as Adverity or Fivetran is a plus.
• Experience working with analytics platforms such as Databricks or Azure Synapse is a plus.
• Familiarity with AI-assisted tools for data quality, documentation, or analysis workflows is a plus.

Attributes

• Ownership Mentality: You take initiative and drive your work forward rather than waiting to be directed. You see a gap, and you move to close it.
• Builder's Mindset: You're energized by standing up something new rather than maintaining what already exists. This team and its processes are being built from the ground up.
• Low-Oversight Autonomy: You own your domain and operate independently, keeping stakeholders informed without needing step-by-step direction.
• Curiosity: You dig into data discrepancies because you genuinely want to understand why, not just because it's your job. You're always asking what's behind the numbers.
• Drive for Continuous Improvement: You're always looking for ways to make processes more reliable and efficient, treating every workflow as something that can be refined.

Relocation Options

Relocation will be considered.

International Considerations

Expatriate assignments will not be considered.

Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.

Flexible Working, Work-Life Balance, Hybrid Schedules

Chevron offers a complete package and provides career development opportunities to all employees. We do this through onboarding, training and development, mentoring, volunteering opportunities and employee networking groups. We advocate work-life balance and offer employees access to various health and wellness programs. We also offer hybrid work models and alternative work schedules.

Working with us

At Chevron we approach challenges with integrity, ingenuity, and respect. By valuing our employees, our partners, and our world, we've created a company that's responsively moving the world forward. We value a full spectrum of human experience- diversity of thought, education, national origin, gender, skills, and experiences. We firmly believe that by pooling our unique talents and perspectives, and by inspiring each other, we will define the future of energy.

Benefits

Chevron offers competitive compensation and benefits programs which includes, but is not limited to, variable pay, healthcare coverage, retirement plan, insurance, time off programs, training and development opportunities and a range of allowances connected to specific work situations. Details of such benefits and allowances are available

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