Data Analyst
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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.
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