Product Data Analyst

Product Data Analyst – Job Description SCRM – LIDL Digital Hub About The Role

We are looking for a Product Data Analyst who will share our passion for excellence and continuous challenge.

• Build dashboards, reports, and visualizations.
• Define success metrics, design experiments, and evaluate feature performance.
• Translate complex datasets into actionable insights and strategic recommendations.
• Analyze user behavior and product usage data to identify trends, pain points, and growth opportunities.
• Conduct deep-dive analyses to support product launches, A/B tests, and user experience improvements.
• Act as a data referent for a designated product within an agile squad, leading all data-related activities and decisions.
• Ensure the quality and consistency of product-related datasets within our data ecosystem, identifying areas for continual improvement.
• Champion a culture of data-informed decision-making within the squad and the wider organization, educating team members on the benefits of a data-focused approach.
• Develop, implement, and manage efficient data pipelines to support data extraction and analysis, enhancing the quality of insights for both product development and customer experience.

• Experience with Databricks and Big Query.
• Experience with orchestration tools such as Airflow and DBT.
• Familiarity with Git for version control and CI/CD operations.
• Previous experience in a Cloud environment, preferably Azure.
• Knowledge of SQL and Python for data extraction and manipulation.
• A solid understanding of data structures and data manipulation methodologies.
• Experience with A/B testing, experimentation, and product analytics frameworks.
• Experience building and shipping digital products based on continuous discovery.
• Previous experience working in Mobile App products with Firebase as tracking tool.
• Practical experience using Jira, Confluence, and other Atlassian tools in agile development.
• Familiarity with data management tools and their application to both structured and unstructured data.
• Excellent collaboration and communication skills, with a demonstrated ability to work effectively in a multidisciplinary agile team.

• Dashboarding tools:
  Databricks
• SQL for structured data storage and querying.
• Visual Studio / PyCharm for code development.
• Airflow and DBT for data orchestration and transformation.
• Azure Dev Ops for version control and development operations.
• Databricks with PySpark for large-scale data processing and analytics.
• JIRA and Confluence for knowledge management and team collaboration.

Who we are

SCRM was created in
**** with a vision of the future that foresaw "business and technology forever remaining intertwined", and a steadfast mission to guide traditional businesses towards digital evolution through their clients, data, commercial strategies and omnichannel communication. Specialising in digital strategy, automation and real-time offer and content customisation, SCRM owes its success and efficiency to the use of cloud computing and the development of data platforms which rely on artificial intelligence for automatic decision-making in large scale consumer and retail markets.

SCRM Lidl International Hub
- Three years later, Lidl has absorbed the company and turned it into their international hub of digitalisation and customer intelligence. Amongst our missions as Lidl's International Hub, we would highlight the following:
The conceptualisation and development of Lidl Plus, a Lidl international relational programme, and its benefit plan, which will offer discounts, exclusive services, agreements with third-party entities and financial services as its fundamental features;
The creation of a cloud-based international platform for big data;
The development of an…