data analyst for retail experiences

Intellias helps retailers deliver consistent, omnichannel experiences through technology and develops scalable solutions that drive performance and customer value.

• 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 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.

• 4+ Years of experience in data analytics, data science or a related role;
• Strong SQL and 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;
• Experience with marketing metrics: conversation rate, churn rate, customer satisfaction, NSP, Revenue;
• Ability to work effectively within a collaborative team and independently on defined tasks;
• Nice to have: Experience with B2C CRM, first-party consumer data or lifecycle/behavioral analytics, experience working with offline as well as digital consumer data, familiarity with CRM, CDP or marketing automation environments, experience analysing data quality, system performance or data flows, experience working with proxy signals or incomplete attribution, experience with collaborative analytical workflows such as notebooks and Git.

• No conditions specified