Data Analyst / Data Scientist (Analytics)
About the Job Skill is seeking a detail-oriented Data Analyst / Data Scientist – Utility Analytics to join its Customer Analytics and Digital Products team for a high-impact special project. This role focuses on analyzing large-scale utility datasets, evaluating customer-facing digital products, and developing interactive reporting solutions to support business decisions and improve customer experiences. The successful candidate will work with Advanced Metering Infrastructure (AMI) usage data, customer billing information, and digital engagement metrics. Responsibilities include building Power BI dashboards, identifying data trends and anomalies, supporting digital product improvements, and translating analytical findings into actionable business recommendations. This is a remote contract opportunity suited to professionals with hands-on utility analytics and AMI data experience.
Key Responsibilities
Analyze large utility datasets, including Advanced Metering Infrastructure (AMI) usage, Customer Care & Billing (CC&B), and customer engagement data. Identify data trends, patterns, anomalies, inconsistencies, and quality issues. Design, develop, and maintain interactive Power BI dashboards and reports. Create visual summaries to monitor digital product performance, billing outcomes, and key customer metrics. Support customer-facing digital products, including rate recommendation tools and bill comparison features. Use historical customer usage and billing information to support product analytics and recommendations. Track website and digital engagement metrics, including page views, clicks, and user interactions. Collaborate with Product Owners, software engineers, and business subject matter experts. Support data integrations, user testing, and digital product enhancements. Translate complex analytical findings into actionable insights for technical and business stakeholders. Present recommendations clearly to support product development and business decision-making. Perform data validation and quality checks to ensure reliable analytical outputs.
Required Qualifications
Bachelor's degree in Data Science, Analytics, Computer Science, Statistics, or a related field. At least 2 years of professional data analysis experience. Direct experience working with Advanced Metering Infrastructure (AMI) and utility customer usage data. Experience reviewing large data extracts and datasets to identify trends, anomalies, and inconsistencies. Hands-on experience creating dashboards and visual reports using Microsoft Power BI. Experience with Databricks or working with large, multi-source datasets. Strong data validation and problem-solving abilities. Exceptional attention to detail. Excellent written and verbal communication skills suitable for a regulated business environment. Important: Direct utility industry and AMI data experience is mandatory. Candidates without this experience will not be considered.
Preferred Qualifications
Experience working with Customer Care & Billing (CC&B) data and related tools. Proficiency in Google Analytics or other website and digital engagement tracking platforms. Experience developing recurring customer analytics reports. Familiarity with tracking digital product adoption and customer engagement. Experience supporting customer analytics and digital product performance initiatives. Technical Skills Business Intelligence: Microsoft Power BI. Data Analytics: Large-scale dataset analysis, trend identification, and anomaly detection. Utility Data: Advanced Metering Infrastructure (AMI) and customer usage data. Billing Analytics: Customer Care & Billing (CC&B). Data Platforms: Databricks and multi-source data environments. Digital Analytics: Google Analytics, page views, clicks, and user interaction tracking. Reporting: Interactive dashboards, recurring reports, and performance metrics. Data Quality: Data validation, quality control, and anomaly identification. Compensation and Contract Details Standard Pay Rate: $55–$60 per hour (USD). Higher Pay Rate: Up to $75 per hour for candidates with extensive, highly relevant utility industry experience. Employment Type: Contract. Contract Duration: 1–2 years. Project Type: Special project. Target Start Date: As soon as possible. Work Schedule and Location Job Title: Data Analyst / Data Scientist – Utility Analytics Company: Skill Location: Remote, United States. Work Arrangement: Fully remote. Preferred Time Zone: Eastern Standard Time (EST). Schedule: Standard business hours. Experience Level: Mid-level. Required Experience: Minimum 2 years of professional data analysis experience. Equal Employment Opportunity The supplied job listing does not include a specific equal employment opportunity statement. Candidates should refer to the employer's official recruitment policies for additional information.