Data Analyst
hace 2 días
.Shalion is a data-driven company that works for world-class manufacturers and brands worldwide.
With its Digital Shelf Optimization and Retail Media solutions, Shalion provides innovative tools for e-commerce 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.
The role Do you have experience as a Data Analyst and want to advance your career?
Shalion is seeking a skilled Data Analyst to join our team.
Our cutting-edge data platform, built on technologies such as Airflow, dbt, Snowflake, Looker, Airbyte, and Github actions, plays a key role in our company's revenue generation.
We deliver data to our customers through embedded Looker dashboards and an API.
If you're ready to make a real impact, this could be your perfect opportunity.
As a Data Analyst at Shalion, your responsibilities include: Developing and maintaining client and internal dashboards in Looker.
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.
Translating product questions into actionable insights.
Support the team in solving problems and challenges related to reporting and information analysis, to drive best practices in data usage and consumption.
Your profile should include the following: 2+ years of experience working as data analyst or visualization expert.
Hands-on and strong working knowledge of SQL.
High experience level with modern visualization tools such as Looker, Tableau, Qlik Sense or Power Bi.
Solid statistical background.
Experience working with business stakeholders and Engineers.
Experience in data modeling for visualization.
Communication, teamwork, and problem-solving skills.
Ability to structure information, analyze it, and extract data according to business needs 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 cloud data warehouse (Redshift, Snowflake, BigQuery, or similar).
Knowledge of Git and command-line Prior experience modeling data in LookML and dbt (data build tool) Fluent in one or more common data-related programming languages (Python or R) UX skills Soft Skills: Prioritization: Skillful at prioritizing tasks, gaining stakeholder buy-in, and resolving conflicts.
Resilience: Able to thrive in ambiguous situations and enjoy problem-solving
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