Digital Data Analyst

Haworth Lifestyle; Bardi; In loco; EUR 35.000 - 50.000; Tempo pieno

Descrizione del lavoro

A leading interior design firm in Emilia-Romagna seeks a Digital Analyst to support developing a digital data warehouse and reporting ecosystem. The ideal candidate will have strong SQL and Power BI skills, along with 2-3 years in data analysis. Responsibilities include designing data models, collaborating on a Customer Data Platform, and providing insightful reports. This role demands a strong execution mindset, effective communication skills, and the ability to work under pressure, effectively supporting data-driven decisions.

Competenze

• At least 2-3 years of experience in a data analysis role.
• Strong communication skills for conveying insights clearly.
• Keen attention to detail in ensuring data accuracy.

Mansioni

• Design and maintain data models in Azure Synapse.
• Collaborate to build and maintain a robust Customer Data Platform.
• Establish a solid reporting ecosystem using Power BI.

Conoscenze

SQL

Power BI

Data Visualization

Analytical Skills

ETL Processes

Formazione

Bachelor’s degree in Computer Science, Data Science, or Business Analytics

Strumenti

Azure Synapse

Tableau

Descrizione del lavoro

Overview

Haworth Lifestyle was founded to create a unique and distinctive brand platform in the interior design industry, seamlessly integrating manufacturing excellence, design expertise, and cutting-edge retail experiences. We create timeless designs that strengthen the connection to everyday living spaces. Our strength comes from the diversity of our brands and a global team of over 2,200 members. By nurturing talent and preserving the identity of each brand, we foster innovation and excellence.

Role

We are seeking a Digital Analyst to support the development of our digital data warehouse and create a robust reporting ecosystem for digital data. The Digital Analyst will work with enterprise-level tools to transform data into actionable insights that shape customer engagement and digital marketing efforts. This role sits in a fast‑paced and lean digital environment, where execution speed, end‑to‑end ownership, and pragmatism are essential. The ideal candidate is highly resilient, comfortable working under pressure, and able to deliver reliable outputs even when requirements evolve and timelines are tight, with a hands‑on and solution‑oriented mindset.

Responsibilities

• Data Modeling & Transformation: Design and maintain data models within Azure Synapse and Azure Fabric, ensuring seamless integration of CRM and digital data. Optimize ETL (Extract, Transform, Load) processes for data quality and performance.
• Customer Data Platform (CDP): Collaborate with our partners and the IT department to build and maintain a robust CDP, integrating data from various digital channels, CRM, E‑Commerce, and other customer touchpoints to create a comprehensive view of customer interactions.
• Digital Data Reporting: Establish and maintain a solid reporting ecosystem for digital data, ensuring stakeholders have access to accurate and timely insights. Leverage Power BI to create user‑friendly reports that drive data‑informed decisions.
• Stakeholder Collaboration: Work closely with marketing, digital, and sales teams to understand their data needs, translate business requirements into technical specifications, and deliver user‑friendly dashboards and visualizations.
• Continuous Improvement: Stay current with trends in BI, data analysis, and customer data management, continuously exploring new ways to enhance analytics capabilities and support data‑driven decision‑making.
• Data Governance & Security: Ensure that all analytics solutions adhere to data security policies and best practices, particularly around handling customer and digital data.

Technical Skills

• Data Visualization: Proficiency in Power BI for creating complex dashboards and reports is preferred. Experience with other data visualization tools (e.g., Tableau, Looker) is also valued.
• SQL & Data Management: Strong SQL skills for querying, data manipulation, and managing large datasets are mandatory, with experience in optimizing queries and ensuring efficient database performance.
• Data Modeling Best Practices: Ability to design effective data models, including star schema and snowflake schema, to support analytics and reporting needs.
• ETL Processes & Data Transformation: Experience in designing and managing ETL processes to ensure high data quality, consistency, and integration across different platforms.
• Cloud‑Based Data Solutions: Familiarity with Azure Synapse and Azure Fabric is preferred, but not mandatory. Experience with other cloud data platforms (e.g., AWS Redshift, Google BigQuery) is considered a plus.
• Data Integration & Automation: Competence in integrating data from various sources, such as CRM, digital channels, and E‑commerce platforms, using APIs or data connectors. Ability to automate workflows for data extraction, transformation, and reporting.
• Analytical Skills: Strong analytical mindset with the ability to turn data into actionable insights, supporting strategic decision‑making.

Qualifications

• Education: Bachelor’s degree in Computer Science, Data Science, Business Analytics, or a related field.
• Experience: At least 2‑3 years of experience in a data analysis role.
• Execution Mindset: Strong bias toward action, capable of moving quickly from analysis to implementation, delivering value continuously and reliably even under pressure.
• Communication Skills: Strong ability to convey data insights to both technical and non‑technical stakeholders in a clear and impactful manner.
• Digital Analytics: Understanding of web analytics, digital marketing metrics, and customer behaviour analysis (preferred but not mandatory).
• Analytical & Problem‑Solving Skills: Ability to analyze complex data sets, identify trends, and generate actionable insights to support strategic decisions.
• Attention to Detail: Keen attention to data accuracy and quality, ensuring all reports are reliable and actionable.

Our company is an equal opportunity employer.