Data Analyst

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

Job Description

Data Analyst - Digital Products

Job Type

Contract

Location

New York, NY - On-site

Schedule

Monday-Friday

Pay Rate

$55-$60/hour, depending on experience

Openings

2-4

Target Start

Late September 2026

Job Overview

We are seeking a Data Analyst to support a Digital Products team focused on clean energy initiatives, data products, and advanced analytics.

The ideal candidate is more than a traditional reporting or BI analyst. We are looking for someone with strong analytical judgment who can understand the context behind data, identify anomalies, investigate data-quality issues, and translate findings into actionable business and operational insights.

Key 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.
• Determine whether data is reliable and sufficient for analysis.
• Develop dashboards, reports, visualizations, and repeatable analytical products.
• Support testing and validation of analytical tools and methodologies.
• Translate technical findings into clear insights for engineers, program managers, and business stakeholders.
• Troubleshoot data issues and communicate or elevate findings appropriately.
• Manage multiple workflows and priorities in a fast-paced environment.

Required Qualifications

• Bachelor's degree required.
• 2+ years of professional data analysis experience.
• Strong SQL skills, including complex joins and data transformations.
• Experience working with large and/or complex datasets.
• Experience working across multiple data sources or systems.
• Strong attention to detail and analytical problem-solving skills.
• Ability to identify data anomalies and quality issues rather than simply report results.
• Strong written and verbal communication skills.
• Ability to investigate, prioritize, and communicate data-related issues.

Preferred Skills

• Python
• Power BI
• Databricks
• Database management
• Data integration or data pipeline experience
• Data engineering experience
• Data visualization and dashboard development
• Bulk data testing and validation
• Analytical tool, product, or application development

Preferred Industry Experience

Utility, energy, or clean energy experience is highly preferred but not required.

Experience with the following is a plus:

• Electric utility or customer usage data
• AMI or GIS data
• Real-time operational datasets
• EVs, battery storage, or electrification
• Grid planning or performance
• Clean energy initiatives

Ideal Candidate

The successful candidate will be comfortable asking Does this data make sense? and investigating when it doesn't. You should be able to connect information across datasets, assess data reliability, identify root causes, understand business implications, and communicate technical findings clearly to both technical and non-technical stakeholders.

$55.00 - $60.00 / hr