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Digital Marketing Data Analyst

Warszawa, mazowieckie💼 Full-time🗓 2026-05-21 → 2026-07-27

Core

Combines marketing data analytics, web analytics, campaign performance optimization, and marketing automation to strengthen digital activities and support data-driven business decisions.

Role type

Digital Marketing Data Analyst

Builds

Automated dashboards, measurement frameworks, and actionable insights for marketing ROI and user engagement

Domain

Digital Marketing / Web Analytics

Deliverable

dashboards & analysis

Required skills

Google Analytics 4, Power BI, data extraction, data cleansing, aggregation, diagnostic analysis, attribution logic, test & control group setup, multi-channel analysis

Preferred skills

Marketing automation, ad-hoc database projects, data visualization

Technologies

Google Analytics 4, Power BI, Looker Studio, GTM, MS Clarity

Responsibilities

Analyze marketing data and user behavior across digital touchpoints; identify trends and optimization opportunities; prepare reports with actionable insights; define measurement frameworks and attribution logic; build automated dashboards; execute measurable marketing performance programs; conduct ad-hoc database projects; collaborate with marketing, sales, and IT teams

Seniority

Individual Contributor

Rewrite
## About the Role We are looking for a specialist who can seamlessly combine **marketing data analytics**, **web analytics**, **campaign performance optimization**, and **marketing automation** to strengthen the effectiveness of our digital activities and support data-driven business decisions. This role is ideal for someone who feels confident working with data, understands end-to-end digital marketing mechanisms, and wants to actively shape how we measure, optimize, and report digital performance. ## Responsibilities ### Web & Marketing Analytics - In-depth analysis of marketing data and user behaviour across digital touchpoints (GA4, GTM, MS Clarity, marketing platforms). - Identifying trends, inefficiencies, and optimization opportunities across paid and owned. - Preparing recurring and ad-hoc reports (Power BI, Excel, PDF) with actionable insights. - Creating summaries, insights, and strategic recommendations that directly improve marketing ROI and user engagement. - Defining consistent measurement frameworks, attribution logic, and reporting standards. - Building automated dashboards and reducing manual work to improve reporting efficiency. - Ensuring accuracy, consistency, and reliability of all marketing and web analytics data. ### Marketing Performance Programs - Initiating, developing and executing **measurable marketing performance programs** - Identifying relevant **marketable universes** from internal and external sources; setting up, analysing and reporting on **test & control groups** for marketing initiatives. - Integrating insights across multi-channel inbound and outbound activities throughout the customer journey and lifecycle. - Promoting increased prospect and customer engagement through improved reporting, analysis and insights. - Driving continuous improvement of business results, ROI and achievement of objectives through **repeatable test-learn-improve processes**. - Building **marketing dashboards** that visualize KPIs and performance indicators. - Packaging analytical deliverables in a clear, structured and compelling way, with a strong storyline that addresses business needs and questions. ### Database & Ad Hoc Analytical Work - Conducting ad-hoc database projects and analyses, including data extraction, data quality checks, cleansing, aggregation and diagnostic analysis. - Developing reporting outputs that lead to more insightful business recommendations driven by data and customer understanding. - Supporting project development with analytical input and data-driven recommendations. ### Collaboration & Development - Close cooperation with marketing, sales, and IT teams. - Participation in meetings with digital marketing teams and media agencies. - Recommending best practices in digital analytics, measurement, and optimization. - Testing and evaluating new analytical and automation tools. ## Requirements - Google Analytics 4 (must-have) - Power BI - Looker St ## Nice to Have ## Benefits
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