Data Analyst / Data Scientist (Utility Analytics)

Aquent

New York (NY)

Hybrid

USD 76,000 - 83,000

Full time

2 days ago
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Job summary

Aquent is seeking a detail-oriented Data Analyst / Data Scientist for a remote or NYC-hybrid contract project focused on utility analytics. You will analyze large AMI and billing datasets, evaluate customer-facing digital products, and build interactive reporting tools to inform business decisions.

The role requires 2+ years in data analysis, Power BI expertise, and experience with Databricks and multi-source datasets, with a bachelor’s degree in a related field.

Qualifications

  • AMI data experience in utility analytics
  • 2+ years of professional data analysis experience
  • Power BI dashboard creation
  • Databricks or large multi-source datasets experience
  • Bachelor's degree in a related field
  • Strong communication and documentation skills for regulated environments

Responsibilities

  • Analyze AMI, CC&B, and engagement data to identify trends and anomalies.
  • Design and maintain Power BI dashboards and visual summaries.
  • Support rate recommendation tools and bill comparison features using usage and billing data.
  • Track and analyze website and digital engagement metrics.
  • Collaborate with Product Owners, engineers, and SMEs on data integrations and testing.
  • Translate complex findings into actionable insights for stakeholders.

Skills

Power BI
Databricks
Data analysis
Data validation
Communication

Education

Bachelor's degree

Job description

Data Analyst / Data Scientist (Utility Analytics)Location: Remote (EST preferred) or NYC (Hybrid)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 HoursTarget 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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