Utility Data Programmer Analyst

Celerity Consulting Group, LLC•Walnut Creek, CA

3d•$90,000 - $125,000•Hybrid

About The Position

Celerity is seeking a Utility Data Programmer Analyst to support data-intensive electric, gas, and water utility projects. This position will initially support a large-scale electric utility asset-data validation program and may contribute to additional engagements involving asset management, data quality, geographic information systems, regulatory compliance, operational analytics, and process improvement. The ideal candidate combines an understanding of utility assets and operations with strong technical capabilities in relational databases, SQL, data analysis, visualization, and data integration platforms. This individual will work with project managers, utility subject matter experts, GIS professionals, engineers, and data analysts to transform complex utility data into reliable, actionable information.

Requirements

Bachelor’s degree in data analytics, computer science, information systems, engineering, geography, mathematics, statistics, or a related discipline.
Experience analyzing complex datasets using SQL and relational database concepts.
Working knowledge of data structures, joins, keys, relationships, normalization, and data-quality controls.
Experience developing reports, dashboards, or analytical products using Microsoft Power BI, Tableau, or a comparable platform.
Ability to interpret business requirements and convert them into structured analytical methods.
Strong problem-solving skills and attention to data accuracy, completeness, and traceability.
Ability to communicate technical findings clearly to both technical and nontechnical stakeholders.
Experience preparing process documentation, data dictionaries, validation rules, or technical work instructions.
Proficiency with Microsoft Excel, including advanced formulas, pivot tables, data validation, and large-dataset analysis.
Ability to manage multiple assignments and work effectively in a deadline-driven consulting environment.

Nice To Haves

Experience working with electric, gas, or water utility data.
Familiarity with utility assets such as poles, transformers, conductors, underground structures, streetlights, switches, protective devices, pipelines, meters, or related infrastructure.
Experience reconciling information between GIS, SAP, enterprise asset management, inspection, maintenance, or work management systems.
Experience using Palantir Foundry, including datasets, pipelines, transformations, ontology objects, dashboards, or analytical applications.
Familiarity with Esri ArcGIS, spatial data, geodatabases, or GIS-based asset analysis.
Experience with Python, R, Power Query, DAX, or other data-processing and automation tools.
Knowledge of data governance, metadata management, data lineage, master data management, or utility asset registries.
Experience supporting regulatory, compliance, audit, asset-validation, or infrastructure-modernization initiatives.
Familiarity with electric utility distribution or transmission operations.
Consulting experience or experience working directly with utility stakeholders.

Responsibilities

Analyze large datasets from utility systems such as GIS, enterprise asset management, work management, inspection, maintenance, and operational databases.
Develop SQL queries, scripts, and repeatable workflows to extract, join, transform, validate, and reconcile data from multiple sources.
Identify data quality issues, including missing records, duplicate assets, inconsistent attributes, invalid relationships, and discrepancies between systems.
Support the validation and reconciliation of utility asset records across platforms such as GIS, SAP, inspection systems, and document repositories.
Develop dashboards, reports, and performance metrics using Microsoft Power BI or similar business intelligence tools.
Build and maintain analytical workflows within Palantir Foundry or comparable cloud-based data integration and analytics platforms.
Translate business, operational, engineering, and regulatory requirements into data specifications and analytical procedures.
Automate recurring data-processing, quality-control, and reporting activities where practical.
Document data sources, business rules, assumptions, calculations, validation procedures, and analytical findings.
Produce clear summaries of data issues, root causes, trends, risks, and recommended corrective actions.
Collaborate with utility personnel and project teams to resolve data questions and improve the completeness and reliability of asset information.
Support project tracking, quality assurance, client reporting, and preparation of deliverables.
Handle utility and client information in accordance with applicable confidentiality, cybersecurity, and data-governance requirements.