Data AnalystScientist

We are seeking a Data Analyst/Scientist to support a Customer Analytics and Digital Products team within a large utility organization. This role will analyze large-scale utility and customer datasets identify trends and data quality issues develop dashboards and reporting and provide actionable insights that support customer-facing digital products and business initiatives.

The ideal candidate has meaningful utility industry and AMI (Advanced Metering Infrastructure) data experience strong analytical and data validation skills and the ability to translate complex technical findings into clear business recommendations.

• Analyze large utility datasets including AMI usage Customer Care & Billing (CC&B) and customer engagement data.
• Review and validate data extracts vendor dashboards and multi-source datasets for data quality issues anomalies trends and common themes.
• Develop and maintain Power BI dashboards reports visualizations and recurring reporting to track key business and customer metrics.
• Analyze customer engagement product performance billing outcomes and other key performance indicators.
• Support customer-facing digital products including rate recommendation and bill comparison tools using historical usage and billing data.
• Track and analyze website and digital product engagement including page views clicks and customer interactions.
• Partner with Product Owners engineers business SMEs and other stakeholders to support data integrations testing validation and product enhancements.
• Investigate data discrepancies and anomalies and help identify root causes and potential solutions.
• Translate complex analytical findings into clear actionable insights and recommendations for both technical and business stakeholders.
• Manage multiple priorities while maintaining a high level of accuracy and attention to detail in a regulated utility environment.

• 2 years of professional data analysis experience including experience analyzing large data extracts or datasets.
• Hands-on utility industry and AMI data experience is required. Candidates without meaningful utility and AMI experience should not be submitted.
• Fundamental understanding of utility customer usage data and related business processes.
• Strong experience identifying trends anomalies common themes and data quality issues within large datasets.
• Hands-on experience with Power BI for dashboards reporting and data visualization.
• Experience working with large multi-source datasets including Databricks or comparable data platforms.
• Strong data validation analytical and problem-solving skills.
• Excellent attention to detail and ability to work effectively in a regulated environment.
• Strong written and verbal communication skills.
• Ability to collaborate effectively with technical and business stakeholders and translate technical findings into clear business recommendations.
• Ability to manage multiple priorities and work independently in a project-focused environment.
• Bachelors degree required.

• Experience with Customer Care & Billing (CC&B) data and tools.
• Experience with Google Analytics or similar digital engagement analytics platforms.
• Experience analyzing website and digital product engagement including page views clicks and customer interactions.
• Experience developing dashboards recurring reports data visualizations and analytics supporting customer-facing digital products.
• Experience supporting data integrations testing validation and product improvement initiatives within a utility environment.

• AMI / Advanced Metering Infrastructure data
• Utility usage data
• Power BI
• Databricks and/or experience working with large multi-source datasets

• Customer Care & Billing (CC&B)
• Google Analytics
• Digital engagement analytics
• Customer-facing digital product analytics
• Dashboard and visualization development

Success in this role will be demonstrated by the ability to:

• Deliver accurate actionable analysis of complex utility and customer datasets.
• Identify and communicate meaningful trends anomalies and data quality issues.
• Develop clear dashboards and visualizations that enable stakeholders to understand key metrics.
• Support reliable data integrations testing and validation for customer-facing digital products.
• Collaborate effectively with Product Owners engineers and business stakeholders.
• Turn complex data findings into practical recommendations that improve products processes and customer experiences.