Communications Data Analyst

Chevron•Washington, DC

3d•$137,600 - $206,400

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 owned, earned, paid, and internal communications channels. The analyst helps communicators understand available data and translates their questions into reporting requirements and practical analysis. The role works closely with IT and data engineering partners who build and maintain data pipelines. The analyst defines requirements, validates new data sources and fields, and helps resolve issues that affect reporting. As part of Global Communications’ AI, Data & Insights team within Corporate Affairs, the position supports communications strategy, measurement, and decision-making through research, intelligence, performance analysis, and insights.

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, finding appropriate tables, and understanding relationships among fields, metrics, and dimensions.
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.
Demonstrated 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 communicate reporting needs clearly 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 skills for analysis.
Use of AI-assisted tools for analysis, data checks, or documentation.

Responsibilities

Write SQL queries to pull, join, filter, and aggregate data from the data lake for recurring reports and ad hoc questions; understand where data sources are located and how tables relate across communications channels.
Build and maintain dashboards, scorecards, and recurring reports in Power BI or Tableau to show performance against KPIs using approved metric definitions.
Document reporting calculations, source dependencies, and known data limitations.
Review data for accuracy, completeness, consistency, and timeliness before it is used in reporting; investigate discrepancies, identify causes, 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.
Develop and maintain 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 new data sources and fields against those requirements.
Identify and explain trends, anomalies, and changes in campaign and channel performance; prepare campaign readouts and partner with research and measurement colleagues on deeper evaluation and impact assessment.
Help communicators find and use data and dashboards so they can answer more questions through self-service.