Data Analyst: SQL & PySpark for Marketing Insights

Xebia Group; United States; Remote; USD 70,000 - 110,000; Full time

Job summary

Xebia is looking for a Data Analyst/Analytics Engineer to work with large datasets on customer behavior, digital marketing campaigns, and business performance. You will design, develop, and maintain analytical datasets using SQL and PySpark, and prepare data from multiple sources for reporting and advanced analytics.

You’ll collaborate with marketing analysts and data teams, ensure data quality and reliability, and support campaign measurement, funnel analysis, retention, churn, and ROI

Qualifications

• 3+ years of experience in data analytics or a similar data-focused role.
• Advanced SQL skills with complex joins, CTEs and window functions.
• Hands-on experience with PySpark and large-scale datasets.
• Strong analytical and problem-solving skills; able to work independently.
• Fluent English and Polish.

Responsibilities

• Analyzing large datasets related to customer behavior, digital marketing campaigns, and business performance.
• Designing, developing, and maintaining analytical datasets using SQL and PySpark.
• Preparing and transforming data from multiple sources for reporting and advanced analytics purposes.
• Collaborating closely with marketing analysts, business stakeholders, and data teams.
• Supporting campaign measurement, funnel analysis, retention, churn, and ROI calculations.
• Ensuring data quality, consistency, and reliability across analytical outputs.
• Investigating data issues and identifying opportunities for process improvement.
• Contributing to optimizing data models and data processing workflows.
• Supporting ad hoc analytical requests from business stakeholders.

Skills

Advanced SQL

PySpark

Data analysis

Large datasets

Analytical thinking

Independent worker

English proficiency

Polish proficiency

Tools

Databricks

Delta Lake

Power BI

Job description

Xebia is looking for a Data Analyst/Analytics Engineer to work with large datasets on customer behavior, digital marketing campaigns, and business performance. You will design, develop, and maintain analytical datasets using SQL and PySpark, and prepare data from multiple sources for reporting and advanced analytics.

You’ll collaborate with marketing analysts and data teams, ensure data quality and reliability, and support campaign measurement, funnel analysis, retention, churn, and ROI