Data Analyst

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, customer segmentation, funnel analysis, retention, churn, and ROI calculations,,
ensuring data quality, consistency, and reliability across analytical outputs,
investigating data issues and proactively identify opportunities for process improvement,
contributing to optimizing data models and data processing workflows,
supporting ad hoc analytical requests from business stakeholders.

3+ years of experience as Data Analyst, Analytics Engineer, or in a similar data-focused role,
advanced SQL skills, including: complex joins, CTEs, window functions, query optimization,
hands-on experience with PySpark,
strong analytical and problem-solving skills,
ability to work independently in a fast-paced environment,
Work from the European Union region and a work permit are required.

experience in digital marketing analytics,
experience analyzing: customer acquisition, customer retention, campaign performance, funnel conversion, customer lifetime value (LTV),
experience with Databricks,
experience with Delta Lake or modern lakehouse architectures,
understanding of data modeling concepts,
familiarity with Power BI,
experience working in agile teams.

review –

call –

Client

Decision