Senior Data Analyst

Wizeline
Wizeline
Barcelona, SpainOn-siteCompetitiveAdded 2 months agoPermanent

Original Advert

We are:

Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

With the right people and the right ideas, there's no limit to what we can achieve

Are you a fit?

Sounds awesome, right? Now, let's make sure you're a good fit for the role:

Key Responsibilities

  • Analyze existing queries and dashboards in Athena, BigQuery and Tableau Server to understand current data structures and reporting logic.
  • Rewrite and optimize SQL queries and ETL processes to transition from Athena and BigQuery to Snowflake.
  • Conduct quality assurance activities to ensure new Snowflake-based data sources and dashboard metrics match existing Athena and Big Query data sources and dashboards. 
  • Develop and maintain Tableau dashboards and reports connected to Snowflake, ensuring data accuracy and performance.
  • Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders, to gather requirements and deliver data solutions to meet organizational needs.
  • Create comprehensive documentation for data sources, ETL processes, and reporting solutions

Must-have Skills 

  • 6+ years of proven expertise as a Data Analyst or Analytics Engineer with previous experience with data migration projects, particularly transitioning from Athena and BigQuery to Snowflake.
  • Advanced skills in Tableau for dashboard development and report creation.
  • Advanced proficiency in SQL and experience with ETL tools and methodologies.
  • Experience with performance tuning and optimization in both Snowflake and Tableau environments.
  • Excellent problem-solving abilities and attention to detail.
  • Strong communication skills, with the ability to collaborate effectively with technical and non-technical stakeholders.

Nice-to-have:

  • AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.
  • Familiarity with data governance and security best practices.
  • Certifications in Snowflake and/or Tableau.

What we offer:

  • A High-Impact Environment
  • Commitment to Professional Development
  • Flexible and Collaborative Culture
  • Global Opportunities
  • Vibrant Community
  • Total Rewards

*Specific benefits are determined by the employment type and location.

Find out more about our culture here.

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