Senior Data Analyst
Shalion is a data driven company working for world class manufacturers and brands worldwide. With its Digital Shelf Optimization and Retail Media solutions, Shalion provides innovative tools that facilitate ecommerce monitoring. We, at Shalion, enable brands to make smarter business decisions in eCommerce, based on actionable data and insights providing information on online product prices, availability, share of search, etc. in more than 800 e-retailers and 50 different countries. Our client portfolio includes industry giants such as Heineken, Diageo, and L’Oréal. If you are a Data Analyst and want to make a difference in your professional career, this is your role! At Shalion we’ve built a modern data platform (with technologies like Airflow, dbt, Snowflake, Looker, Airbyte and Github actions) that is critical for the company revenue generation: we sell data to our customers who consume it either through our dashboards in Looker embedded or through an API. The roleAs a Senior Data Analyst at Shalion, your responsibilities include: Developing and maintaining impactful dashboards and visualizations in Looker, enhancing user experience and guiding analytical paths. Collaborating with Product teams to shape the product roadmap based on customer feedback and market insights. Translating business requirements into technical tasks, ensuring timely delivery. Working closely with Data Engineers to expand and enhance datasets, contributing to roadmap planning. Ensuring data quality and consistency across dashboards. Facilitating workshops for tailored business solutions and translating product questions into actionable insights. Your profile should include the following: 3+ years of experience working as part of a data team; preferably as a data analyst or scientist. Hands-on and strong working knowledge of SQL High experience level with modern visualization tools such as Looker, Tableau or Qlik Sense. Solid statistical background. Experience working with Data Scientists and Engineers. Ideally you will also have: An advanced degree in a quantitative field such as math, physics, computer science, statistics, etc. Experience with market research analysis Experience working with a modern data warehouse (Redshift, Snowflake, BigQuery, or similar). Basic knowledge of Git and command-line Prior experience modelling data in LookML and dbt (data build tool) Be fluent with one or more common data-related programming languages (Python or R) UX skills Soft Skills: Communication: Excellent presentation and communication skills. Prioritization: Skillful at prioritizing tasks, gaining stakeholder buy-in, and resolving conflicts. Resilience: Able to thrive in ambiguous situations and enjoy problem-solving. Mentorship: Interest in coaching and sharing knowledge with teammates. Curiosity: Eagerness to learn and engage in constructive discussions. Quality-oriented: Can discern data quality and value code testing for growth. Analytical prowess: Strong problem-solving abilities. What we offer you Talented, diverse and very friendly work environment Hybrid work: a mix of remote and in-office work to boost our productivity and promote a work-life balance To be part of a high-performing team in a fast-paced, innovative environment. A challenging project, where you can have great contribution and impact The fast-growing project, where you can grow and develop Office with a good location in Barcelona (Francesc Macià). #J-18808-Ljbffr
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