Data Analyst / Data Scientist (Utility Analytics)

to join our Customer Analytics and Digital Products team on a high-impact, special project. In this role, you will analyze large-scale utility datasets, evaluate customer-facing digital products (such as rate recommendation and bill comparison tools), and build interactive reporting tools to drive business decisions and improve customer experience. Key Responsibilities Data Analysis & Quality Control:

Analyze large utility datasets-including AMI usage, Customer Care & Billing (CC&B), and customer engagement data-to identify trends, patterns, anomalies, and quality issues. Visualization & Reporting:

Design and maintain Power BI dashboards, reports, and visual summaries to track product performance, billing outcomes, and key customer metrics. Digital Product Support:

Support customer-facing digital products (e.g., rate recommendation tools and bill comparison features) using historical usage and billing data. Engagement Analytics:

Track and analyze website and digital engagement metrics (such as page views, clicks, and user interactions). Cross-Functional Collaboration:

Partner closely with Product Owners, software engineers, and business SMEs to support data integrations, user testing, and product enhancements. Stakeholder Communication:

Translate complex technical findings into actionable insights and present recommendations clearly to both technical and business stakeholders. Required Qualifications & Skills Utility Industry & AMI Data (MUST-HAVE)

ASAP About the Role We are seeking a detail-oriented, Direct experience working with Advanced Metering Infrastructure (AMI) and utility customer usage data. Note: Candidates without utility/AMI experience will not be considered. Professional Experience:

2+ years of professional data analysis experience, with a proven track record of reviewing large data extracts/dumps to identify trends and data anomalies. Technical Proficiency: Hands-on experience with

Power BI

for dashboard creation and data visualization. Experience with

Databricks

or working with large, multi-source datasets. Education:

Bachelor’s degree in Data Science, Analytics, Computer Science, Statistics, or a related field. Core Competencies:

Strong data validation and problem-solving skills, extreme attention to detail, and excellent verbal and written communication skills suitable for a regulated environment. Preferred / Nice-to-Have Skills Experience with

Customer Care & Billing (CC&B)

data and tools. Proficiency with

Google Analytics

or other web/digital engagement tracking platforms. Proven track record developing recurring customer analytics reports and tracking digital product adoption.