Remote Data Analyst - Utility Analytics & Power BI

Equiliem; New York (NY); Remote; USD 76,000 - 83,000; Full time

Benefits offered by this job

Medical Insurance

Vision & Dental Insurance

Life Insurance

Matching 401(k)

Commuter Benefits

Employee Discounts & Rewards

Payroll Payment Options

Job summary

Equiliem is seeking a Data Analyst/Scientist to support customer analytics and digital products by analyzing large utility datasets, including AMI usage and billing data. You will identify trends, anomalies, and data quality issues while building dashboards and reports for business and customer-facing products.

The role collaborates with Product Owners, engineers, and stakeholders to validate data, support integrations, and translate findings into actionable recommendations for technical and

Qualifications

• 2+ years of professional data analysis experience.
• Experience analyzing large data extracts or datasets.
• Hands-on experience with utility industry data is preferred.
• Experience with Power BI for dashboards and reporting.
• Strong written and verbal communication skills.

Responsibilities

• Analyze large utility datasets and validate data extracts and dashboards.
• Develop and maintain Power BI dashboards, reports, and visualizations.
• Track customer engagement and key business metrics.
• Support analytics for customer-facing digital products and bill comparison tools.
• Translate complex findings into clear business recommendations.

Skills

Power BI dashboards

Data analysis

Data visualization

Data validation

Stakeholder collaboration

Education

Bachelor's degree

Tools

Power BI

Databricks

Job description

Equiliem is seeking a Data Analyst/Scientist to support customer analytics and digital products by analyzing large utility datasets, including AMI usage and billing data. You will identify trends, anomalies, and data quality issues while building dashboards and reports for business and customer-facing products.

The role collaborates with Product Owners, engineers, and stakeholders to validate data, support integrations, and translate findings into actionable recommendations for technical and