Senior Data Analyst

Senior Data Analyst (Machine Learning) role.

Please ensure candidates are thoroughly screened before submission, with a strong emphasis on hands-on SQL, PySpark, Pandas, Python, and Machine Learning experience. Please do not submit candidates who cannot demonstrate strong hands-on SQL and PySpark coding skills. These areas will be heavily evaluated throughout the interview process.

Interview Process: Quick turnaround interviews

ANY VISA IS 0K

TOP REQUIREMENT – SQL WRITING QUERIES (Non-Negotiable)

This is the Hiring Manager's #1 requirement.

Candidates must be able to independently write, execute, and troubleshoot SQL queries. They will be technically screened by our team prior to submission and will also be tested onsite by the client.

Required skills include:

Data extraction

Joins, aggregations, and filtering

Basic to intermediate data transformations

Strong hands-on coding ability

Interview Format

In-person interviews only (NO video interviews)

Candidates must be local and available to attend onsite interviews

Live SQL and PySpark coding exercises will be conducted during the interview process

Many candidates struggle with hands-on coding, so please validate technical skills thoroughly before submission

Certifications

Databricks Data Engineer Certification is highly preferred and considered the most important certification

Certificatio1n can be completed post-onboarding if not currently held

Google Cloud (GCP) Certification is also acceptable and may be completed after hire

PySpark (Highest Priority Technical Skill)

Candidates must have strong hands-on experience with:

Building and maintaining data pipelines

Large-scale data processing

Data transformation and optimization

Working within distributed data environments

Python / Pandas

Required experience includes:

Data cleansing and preparation

Data transformation

Exploratory data analysis

Data manipulation using Pandas

Machine Learning (Approximately 20% of the Role)

Candidates must already possess hands-on Machine Learning experience. No ML training will be provided.

Required experience includes:

Classification models

Regression models

Clustering techniques

Model evaluation and performance measurement

Data Analytics Focus

The majority of the role will involve:

SQL-based data extraction and analysis

PySpark data processing

Pandas-driven analysis

Generating business insights from large datasets

End-to-End Analytics Experience

Candidates should understand complete workflows that integrate:

SQL

PySpark

Python/Pandas

Machine Learning models and analytics

Team Structure

10 Data Engineers

6 Data Scientists