Vaga de parceiro

Domo BI Analyst (Req. English) - São Paulo / SP

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Detalhes da Vaga

  • Escolaridade Não Informado
  • Segmento Não Informado
  • Salário Não Informado
  • Área de AtuaçãoDiversos / Outros

O que você irá fazer

  • Framebridge is a leading online custom framing company that revolutionizes the way people frame their art and memories.
  • Founded on the mission to make high-quality, stylish framing accessible to everyone, Framebridge offers a seamless and user-friendly experience that combines modern technology with craftsmanship.
  • We are looking for a BI analyst to join our team to help optimize our ecommerce experiences.
  • Job Responsibilities: Build and maintain intuitive dashboards and reports using Domo BI to facilitate data-driven decision-making for stakeholders.
  • Analyze complex datasets to derive actionable insights and support business objectives.
  • Collaborate with cross-functional teams to understand reporting needs and deliver impactful data visualizations.
  • Design and optimize SQL queries to extract and manipulate data from various sources for reporting purposes.
  • Ensure data integrity and accuracy through regular data quality checks and validations.
  • Provide training and support to team members on Domo best practices and new reporting functionalities.
  • Stay updated on industry trends and advancements in data visualization tools and BI technologies.
  • Required Qualifications: 2-3 years of experience for Intermediate level or 5+ years for Senior level in a Business Intelligence or data analytics role.
  • Proficient in Domo BI platform with a solid understanding of data visualization principles.
  • Strong skills in SQL and data modeling.
  • Demonstrated ability to build reports and dashboards that effectively communicate data insights.
  • Intermediate to Fluent English proficiency.
  • Educational background ranging from some college experience to a Masters degree or higher in a related field.
  • Preferred Qualifications: Experience with additional BI tools or analytics platforms.
  • Familiarity with statistical analysis techniques.
  • Understanding of HR metrics and KPIs.
  • Knowledge of data warehousing concepts.

Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

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