Communications Data Analyst

Chevron•Washington DC, WA

About The Position

The Communications Data Analyst makes Chevron’s communications data reliable, accessible, and useful for decision-making. The role uses SQL to query and prepare data from the communications data lake, builds and maintains dashboards, investigates data quality issues, and manages the taxonomy that supports consistent reporting across channels. The analyst helps communicators understand available data and turns their questions into reporting requirements and practical analysis. IT and data engineering partners build and maintain the data pipelines; this role defines requirements with them, validates new data sources and fields, and helps resolve issues affecting reporting. The position is part of Global Communications’ AI, Data & Insights team within Corporate Affairs. The team brings together research, intelligence, measurement, and insights to help communicators set priorities, sharpen strategy, anticipate issues, and understand how their work contributes to Corporate Affairs objectives. It works across owned, earned, paid, and internal communications to support informed decisions and evaluate effectiveness.

Requirements

Bachelor’s degree in Marketing, Communications, Data Analytics, Statistics, or a related field.
At least 5 years of analytics or business intelligence experience, including work with communications, marketing, or public affairs data.
Proficiency in SQL, including joining multiple tables, filtering and aggregating data, and validating query results.
Experience working in a data lake or data warehouse, including navigating schemas, identifying tables, and understanding how fields, metrics, and dimensions connect.
Experience managing content or campaign taxonomies, naming conventions, and tracking standards, including governance, implementation, 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.
Strong attention to data quality, including checking numbers and investigating discrepancies.
Ability to explain data issues to non-technical colleagues and clearly describe reporting needs to technical teams.
Advanced Excel skills.

Nice To Haves

Experience querying data in Databricks, Azure Synapse, or a similar platform.
Familiarity with how ingestion tools such as Fivetran or Adverity feed reporting data.
Experience with taxonomy or naming-convention management platforms.
Experience working with data from internal communications platforms such as Staffbase or Viva Engage.
Python or R for analysis.
Use of AI-assisted tools for analysis, data checks, or documentation.

Responsibilities

Query, join, filter, and aggregate communications 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, using approved KPI definitions; document calculations, source dependencies, and known data limitations.
Review data for accuracy, completeness, consistency, and timeliness; investigate discrepancies and coordinate resolution with channel owners, agency partners, and engineering teams.
Manage and continuously improve the Chevron Taxonomy across owned, earned, paid, and internal communications, including classification, naming, and tracking standards through the agreed governance process.
Oversee tracking-code generation, validation, audits, and training, and coordinate cross-platform mapping and corrections with channel owners, agency partners, and data engineering teams.
Translate communicators’ reporting needs into clear requirements for IT and data engineering partners, then test delivered data sources and fields against those requirements.
Identify and explain trends, anomalies, and changes in campaign and channel performance; prepare campaign-readout analysis and partner with research and measurement colleagues on deeper evaluation and impact assessment.
Show communicators where to find data and how to use dashboards to support self-service.