Senior Data Analyst (Machine Learning) : Con Edison : New York

Tech Mirrors; New York (NY); On-site; USD 90,000 - 120,000; Full time

Job summary

Tech Mirrors is seeking a Senior Data Analyst/Engineer in New York. The role requires proficiency in SQL for data extraction, extensive experience with PySpark, and knowledge of machine learning concepts.

Successful candidates will have hands-on experience with data pipelines and analytics, utilizing SQL, PySpark, and Python/Pandas. This position is critical for integrating machine learning processes with data analysis.

Qualifications

• Strong hands-on ability in SQL for data extraction and transformations.
• Experience building data pipelines with PySpark.
• Proficiency in Python and Pandas for data cleaning and analysis.
• Hands-on machine learning experience required.

Responsibilities

• Execute SQL queries for data extraction and analysis.
• Build data pipelines using PySpark.
• Perform analysis and insights using ML concepts.

Skills

SQL

PySpark

Python / Pandas

Machine Learning

Tools

Databricks

Google Cloud

Job description

Senior Data Analyst/Engineer (Machine Learning) :: Con Edison :: New York

Contract

Job description

Required Certifications

• Databricks Data Engineer certification (most important; can be completed post-onboarding).
• Google Cloud certification (acceptable post-hire).

Core Technical Skills

• SQL – Must be able to write and execute SQL queries independently. Strong hands‑on ability is required, including data extraction and basic to intermediate transformations.
• PySpark – Core requirement. Strong hands‑on experience building data pipelines and performing large‑scale data processing.
• Python / Pandas – Required for data cleaning, transformation, and analysis.
• Machine Learning – 20% of the role. Candidates must have hands‑on ML experience (classification, regression, clustering, model evaluation). No training will be provided on ML concepts.
• Data Analysis Focus – Majority of the role involves SQL-based data extraction and PySpark/Pandas-driven analysis and insights.
• ML + Analytics Integration – Candidates should understand end-to-end workflows combining SQL, PySpark, and ML.

Team Structure

Approximately 10 Data Engineers and 6 Data Scientists within the team.

Please ensure candidates are screened heavily for hands‑on PySpark, Pandas, SQL coding ability, and real ML implementation experience before submission.