Data Analyst / Data Scientist (Utility Analytics)

Data Analyst / Data Scientist (Utility Analytics)

Location:

US/Remote (EST preferred)

Employment Type:

Contract (1–2 Years, Special Project)

Pay Rate:

$55.00 – $60.00/hour (Up to $75.00/hour for candidates with extensive, highly relevant utility experience)

Schedule:

Standard Business Hours

Target Start Date:

ASAP

About the Role

We are seeking a detail-oriented Data Analyst / Data Scientist

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):

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.