Senior Data Analyst (Databricks + SQL) | Experience: 7+ Years | Location: Remote

Job Title: Senior Data Analyst (Databricks + SQL) Experience:

7+ Years Location:

Remote Employment Type:

Contract / Full Time

Role Overview We are looking for a

Senior Data Analyst (7+ years experience)

who is highly hands-on and capable of working with large-scale data platforms. The ideal candidate must be an

expert in Databricks and SQL , with a solid understanding of

Azure Data Factory (ADF)

for data ingestion and pipeline workflows. This role requires strong analytical thinking, data modeling expertise, and the ability to convert complex datasets into meaningful business insights.

Key Responsibilities Perform advanced data analysis using

Databricks (SQL / PySpark) Write highly optimized and complex

SQL queries Work with large datasets in a lakehouse / warehouse environment Collaborate with Data Engineering teams on data pipelines (ADF-based ingestion) Validate, clean, and transform raw data into analysis-ready datasets Create analytical datasets for reporting, dashboards, and business intelligence Perform data quality checks and troubleshoot inconsistencies Support stakeholders with actionable insights and data-driven recommendations

Required Skills 7+ years of experience as a Data Analyst Strong expertise in

Databricks Advanced proficiency in

SQL (complex joins, CTEs, window functions, performance tuning) Good understanding of

Azure Data Factory (ADF) Experience working with Azure Data Lake / Delta Lake Strong data modeling and analytical skills Experience handling large enterprise datasets

Good to Have Exposure to Power BI / Tableau or other BI tools Basic knowledge of PySpark Understanding of ETL/ELT concepts Experience in cloud-based analytics environments (Azure preferred)

Soft Skills Strong analytical and problem-solving mindset Excellent stakeholder communication Ability to work in hybrid team environments Attention to detail and data accuracy focus