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# Senior Data Analyst -SQL/Machine Learning /AI/PowerBI

- **Company:** Donnelly & Moore Corporation
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $135,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Cluster Analysis, Data Cleansing, Data Transformation, Data Mining, Database Queries, Distributed Data Store, Python (Programming Language), Machine Learning, Power BI, Standard Sql, SQL Databases, Data Processing, Google Cloud, Model Validation, Pandas, Pyspark, Data Analytics, Data Pipelines, Unsupervised Learning, Databricks
- **Published:** June 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=46e6a26a60ea5872

## About the Role

Do you have experience in Unsupervised learning?, Candidates must have strong hands-on experience with:

 * Writing SQL queries- TOP SKILL REQUIRED!
 * PySpark
 * Python
 * Pandas
 * Machine Learning

These skills will be heavily evaluated throughout the interview process.

TOP REQUIREMENT - SQL (NON-NEGOTIABLE)

This is the Hiring Manager's #1 requirement.

Candidates must be able to independently:

 * Write SQL queries
 * Execute and troubleshoot SQL queries
 * Perform data extraction
 * Create joins, aggregations, and filters
 * Perform basic to intermediate data transformations, * Databricks Data Engineer Certification

Acceptable Post-Hire:

 * Databricks Certification
 * Google Cloud (GCP) Certification

PYSPARK (PRIORITY TECHNICAL SKILL)

Candidates must have experience with:

 * Building and maintaining data pipelines
 * Large-scale data processing
 * Data transformation and optimization
 * Distributed data environments

PYTHON / PANDAS

Required experience:

 * Data cleansing and preparation
 * Data transformation
 * Exploratory data analysis
 * Data manipulation using Pandas

MACHINE LEARNING (20% OF THE ROLE)

Candidates must already possess hands-on Machine Learning experience. Training will not be provided.

Required experience:

 * Classification models
 * Regression models
 * Clustering techniques
 * Model evaluation and performance measurement

DATA ANALYTICS FOCUS

The majority of the role involves:

 * SQL-based data extraction and analysis
 * PySpark data processing
 * Pandas-driven analysis
 * Generating insights from large datasets

END-TO-END ANALYTICS EXPERIENCE

Candidates should understand complete workflows involving:

 * SQL
 * PySpark
 * Python/Pandas
 * Machine Learning models
 * Analytics and reporting, * How many years of experience do you have with machine learning?
 * Where do you currently reside?
 * Are you able to do an onsite interview in NY?
 * Are you able to work in a hybrid environment?
 * How strong are you with writing SQL queries?

Work Location: Hybrid remote in New York, NY 10003



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