We’re looking for a Strong Mid Data & Analytics Analyst to support analytics initiatives , primarily using first-party consumer and CRM data.
The role will combine hands-on data analysis with assessment of data availability, quality and system performance. The analyst will work alongside more senior analytics specialists, taking ownership of defined analytical tasks, supporting larger projects, and refreshing or extending existing analyses.
This is not a pure BI or dashboarding role. Visualization and data storytelling are important complementary skills, but the main focus is on understanding data, identifying issues and producing reliable analytical outputs.
What you will do
Prepare, clean and analyse first-party datasets using SQL and Python.
Perform exploratory and behavioral analysis across consumer, CRM and lifecycle data.
Assess the presence, completeness, consistency and usability of data across systems.
Analyse data flows and system performance, including topics such as data quality, freshness, latency and delivery.
Refresh, extend and improve existing analyses and analytical outputs.
Support larger projects by owning clearly defined analytical work packages and producing first analytical drafts.
Develop visualizations or dashboards where they help explain findings or support recurring analysis.
Document analytical logic, assumptions, data limitations and findings clearly.
Work collaboratively with analysts, data scientists, technical teams and business stakeholders.
What you need for this
4+ years of experience in data analytics, data science or a related role.
Hands-on experience working with marketing metrics and KPIs
Experience with data visualization and dashboard creation (Power BI, Tableau, Looker, or similar)
Strong SQL (visualisation skills), including experience with CTEs (Common Table Expressions)
Good practical Python skills.
Experience working directly with complex datasets and performing exploratory analysis.
Practical understanding of statistics and analytical methods.
Experience with data visualization and/or dashboarding.
Ability to identify and investigate data-quality or data-availability issues.
Clear analytical documentation and communication skills.