Data Analyst - Clean Energy Analytics (On-site NY)

Swipejobs; New York (NY); On-site; USD 76,000 - 83,000; Full time

Job summary

Swipejobs is seeking a Data Analyst to support a Digital Products team focused on clean energy data products and analytics. The role requires translating data findings into actionable business insights and working across multiple data sources to validate data quality.

You will develop dashboards and analytical products, with strong emphasis on data context and anomaly detection. Ideal candidates will have a solid SQL background, 2+ years' experience, and the ability to communicate insights to

Qualifications

• Bachelor's degree required in a relevant field.
• 2+ years of professional data analysis experience.
• Strong SQL skills with complex joins and data transformations.
• Experience with large datasets and multiple data sources.
• Proven attention to detail and analytical problem-solving.

Responsibilities

• Analyze, validate, and interpret large and complex datasets.
• Work across multiple data repositories and source systems.
• Use SQL to combine and transform data, including complex joins.
• Identify anomalies, trends, inconsistencies, outliers, and data-quality issues.
• Investigate issues and perform root-cause analysis.
• Develop dashboards, reports, visualizations, and repeatable analytical products.
• Translate technical findings into clear insights for engineers and stakeholders.
• Troubleshoot data issues and communicate findings appropriately.

Skills

SQL

Data analysis

Attention to detail

Communication

Education

Bachelor's degree

Tools

Python

Power BI

Databricks

Data integration

Job description

Swipejobs is seeking a Data Analyst to support a Digital Products team focused on clean energy data products and analytics. The role requires translating data findings into actionable business insights and working across multiple data sources to validate data quality.

You will develop dashboards and analytical products, with strong emphasis on data context and anomaly detection. Ideal candidates will have a solid SQL background, 2+ years' experience, and the ability to communicate insights to