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Data Analyst

Zolon Tech Solutions IncNew York, NY🇺🇸United StatesPosted 10 Sept 2026

Why This Role Stands Out

This hybrid Data Analyst role at Zolon Tech Solutions Inc offers a fantastic opportunity to drive impactful insights within the clean energy sector, leveraging your skills in SQL and data visualization to build innovative analytical tools. You'll thrive here if you're a mid-senior professional eager to contribute to cutting-edge projects and develop your expertise in a dynamic team environment. Apply today to join a forward-thinking company and make a real difference!

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
New York, NY, United States
Posted
18 hours ago
SQLData PipelineDatabricksPower BIPython

Job Description

Role: Data Analyst

Job Location: New York, NY 10003 (Hybrid – 3 Days Onsite)

Contract Type: W2 Only

Duration: 6 Months

 

Performance Details:

  • What are the major objective(s) of the role? Specifically, what does this person need to do to be considered a success? What will they be working on?
  • The Digital Products team supports Clients clean energy initiatives through data products and advanced analytics. The team works across customer, GIS, utility, and other large-scale datasets to create insights that support clean energy planning, grid performance, and technology integration.
  • The Data Analyst will primarily work with existing datasets and multiple data repositories, bringing information together through queries and complex joins, validating data, identifying data quality issues and outliers, performing analysis, and developing visualizations/reports that can be used by project teams and stakeholders.
  • The team is fully operational today and is looking to expand its ability to turn existing data into repeatable, actionable insights.
  • By the end of 2026, the team would like to develop approximately 2–5 insight tools/products, including standalone analytical tools and repeatable reports/dashboards in Power BI.

MUST HAVE technologies:

  • Reviewing, validating, and analyzing large and complex datasets
  • Working across multiple data repositories and source systems
  • Combining datasets using SQL, including complex joins and data transformations
  • Identifying data quality issues, anomalies, trends, and outliers
  • Determining whether data is appropriate and sufficient for a particular analysis
  • Translating data into meaningful business/operational insights
  • Building reports, dashboards, visualizations, and/or other analytical products
  • Developing repeatable reporting and analytical processes
  • Supporting testing and validation of analytical tools and methodologies
  • Troubleshooting data issues and performing root-cause analysis
  • Communicating findings and escalating data issues appropriately
  • Working collaboratively with engineers, clean energy program managers, and subject matter experts
  • Helping refine data aggregations, such as rolling customer account-level information into building-level profiles

MUST HAVE Critical Skills:

  • 2+ years of professional data analysis experience
  • Strong SQL experience
  • Experience analyzing large and/or complex datasets
  • Experience working with data from multiple source systems
  • Strong attention to detail and ability to follow defined processes
  • Ability to identify anomalies, inconsistencies, and data quality issues rather than simply reporting what the data says
  • Strong written and verbal communication skills
  • Ability to investigate, track, communicate, and escalate issues with appropriate urgency
  • Ability to manage multiple workflows and priorities in a fast-paced environment

NICE TO HAVE technologies / Skills:

  • Utility industry experience – highly preferred but not required
  • Experience with electric utility/customer usage data
  • Exposure to AMI, GIS, or real-time operational datasets
  • Clean energy experience, including EVs, batteries, electrification, or grid-related initiatives
  • Python
  • Databricks
  • Other querying/data technologies
  • Database management
  • Data integration and/or data pipeline management
  • Data engineering experience
  • Experience working with very large datasets and complicated data relationships/joins
  • Power BI or other data visualization tools
  • Bulk data testing and development/execution of testing and verification plans
  • Data pipeline troubleshooting and root-cause analysis
  • Product, application, or analytical tool development experience

Education Requirements: Bachelor’s Degree required.

 

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