Communications Data Analyst

About the role

Chevron's Communications Data Analyst makes communications data reliable, accessible and useful for decision-making. You will query and prepare data from the communications data lake, build and maintain dashboards, investigate data quality issues and manage the taxonomy that supports consistent reporting across channels. You will work closely with IT and data engineering partners who build and maintain the pipelines.

The role sits within the AI, Data & Insights team of Global Communications, which helps communicators set priorities, anticipate issues and measure the impact of their work across owned, earned, paid and internal communications.

Key responsibilities

• Write SQL to pull, join, filter and aggregate data from the data lake for recurring reports and ad hoc questions
• Build and maintain dashboards, scorecards and recurring reports in Power BI or Tableau, documenting calculations, sources and data limitations
• Review data for accuracy, completeness, consistency and timeliness, and coordinate resolution of discrepancies with channel owners, agencies and engineering teams
• Manage the Chevron Taxonomy, including classification, naming and tracking standards, tracking code generation, audits and training
• Turn communicators' reporting needs into requirements for IT and data engineering partners, and test new data sources and fields
• Analyze trends and anomalies in campaign and channel performance, and support campaign readouts and impact assessments
• Show communicators where to find data and how to use dashboards

Required profile

• Bachelor's degree in Marketing, Communications, Data Analytics, Statistics or a related field
• 5+ years of analytics or business intelligence experience, including communications, marketing or public affairs data
• Experience managing content or campaign taxonomies, naming conventions and tracking standards, including governance and data audits
• Hands-on experience with communications and marketing platform data such as Sprinklr, Meltwater, Google Analytics and social media analytics tools
• Proven ability to build dashboards and recurring reports in Power BI or Tableau
• Advanced Excel skills

Required skills

• SQL, including joining tables, filtering and aggregating data
• Experience with data lakes or data warehouses
• Ability to explain data issues to non-technical colleagues and describe reporting needs to technical teams

Preferred: Databricks, Azure Synapse, Fivetran or Adverity, taxonomy management platforms, internal comms platforms such as Staffbase or Viva Engage, Python or R, and AI-assisted analysis tools.

Relocation will be considered; expatriate assignments and visa sponsorship are not considered. The anticipated salary range is $137,600 - $206,400.