Analista de Dados | Pleno (12860)

namename·Remote(Brazil)
Other

WFA Digital Insight

As the demand for data-driven insights continues to skyrocket, with a 25% increase in data analyst roles in the past year, companies are looking for skilled professionals to bridge the gap between complex data and business decision-making. In this remote role at name, you'll have the opportunity to work with a leader in the API market, leveraging your expertise in SQL, dbt, and data modeling to drive business growth. With the rise of remote work, candidates with strong technical skills and the ability to work independently are in high demand. Before applying, consider highlighting your experience with data visualization tools like Looker and your ability to communicate complex data insights to non-technical stakeholders.

Job Description

About the Role

The data analyst role at name is a critical position that requires a unique blend of technical skills and business acumen. As a data analyst, you will be responsible for transforming complex data into actionable insights, working closely with cross-functional teams to drive business growth. You will be the bridge between the engineering team and business stakeholders, ensuring that data-driven decisions are informed and effective.

In this role, you will have the opportunity to work with a variety of data sources, including AWS RDS, NoSQL, and APIs, and leverage your expertise in data modeling and visualization to drive business outcomes. You will be part of a dynamic team that values innovation, collaboration, and continuous learning.

What You Will Do

  • Develop and maintain data models using dbt Core, transforming data from raw to refined and semantic layers
  • Create dimensional models (Star Schema) for optimized fact and dimension tables in BigQuery
  • Build and manage the semantic layer, translating technical logic into business-friendly views
  • Develop dashboards and explore data using LookML (Looker)
  • Ensure data quality through automated testing and monitoring
  • Document technical models and metrics for the company's data dictionary
  • Provide consultative support to stakeholders for understanding KPIs and analytical needs
  • Collaborate with the engineering team to integrate data models with API management
  • Stay up-to-date with industry trends and emerging technologies in data analytics
  • Participate in the development of the company's data strategy

What We Are Looking For

  • Intermediate to advanced SQL skills, with experience in complex transformations, window functions, and query optimization
  • Practical experience with dbt (Core/Open Source) and data orchestration
  • Strong understanding of data modeling, including Star Schema, Snowflake, and Data Warehousing concepts
  • Experience with Google Cloud Platform (GCP), including BigQuery and Cloud Storage
  • Familiarity with Git and collaborative workflows
  • Experience with BI tools, such as Looker, Tableau, or PowerBI
  • Strong analytical and problem-solving skills, with the ability to communicate complex data insights to non-technical stakeholders

Nice to Have

  • Knowledge of LookML (Looker's modeling layer)
  • Basic understanding of Terraform (Infrastructure as Code) for managing datasets and permissions
  • Familiarity with Airflow or Cloud Composer for workflow orchestration
  • Experience with multi-cloud data architectures, particularly integrating AWS with GCP
  • Python skills for automation and data analysis

Benefits and Perks

  • Competitive salary and benefits package
  • Opportunity to work with a leader in the API market
  • Collaborative and dynamic work environment
  • Flexible remote work arrangements
  • Professional development opportunities, including training and conference sponsorships
  • Access to cutting-edge technologies and tools
  • Comprehensive health and wellness program
  • Generous parental leave policy

How to Stand Out

  • Highlight your experience with data modeling and visualization tools, such as Looker and Tableau, to stand out as a candidate.
  • Make sure to showcase your ability to communicate complex data insights to non-technical stakeholders, as this is a critical skill for this role.
  • Be prepared to discuss your experience with dbt and data orchestration, as well as your understanding of data warehousing concepts.
  • Research the company's data strategy and be prepared to discuss how you can contribute to it.
  • Practice your SQL skills and be prepared to complete a technical assessment or provide examples of your work.
  • Consider reaching out to current or former employees to gain insights into the company culture and work environment.
  • Be sure to review the company's benefits and perks, and be prepared to discuss your expectations and requirements during the interview process.

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