Senior Data Analyst

hace 6 meses

Barcelona, España Shalion A tiempo completo

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 role**

As 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).

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