Data Analyst II
The Data Analyst II develops dashboards, self-service tools, and ad hoc analyses that help Sales, Operations, Product, and Finance teams make data-driven decisions. The role requires 4+ years of analytics experience, strong SQL and Python skills, and proficiency with business intelligence tools.
About the job
Responsibilities
- Create business intelligence solutions, including Looker and/or Hex dashboards, using data visualization and storytelling to enable actionable insights.
- Perform ad hoc analyses and deep dives to investigate business questions, surface trends, and provide data-driven recommendations.
- Develop self-service data tools and processes that help stakeholders monitor performance and business health.
- Collaborate with Data Scientists and Data Engineers to identify data sources, enable data pipelines, and support analytical data models for reports and dashboards.
- Implement and maintain data quality checks for datasets used in dashboards, reports, and analyses.
- Partner with Sales, Operations, Product, and Finance teams to understand data needs and deliver tailored analyses and reporting.
- Automate recurring analyses and reporting workflows using Python.
Requirements
- 4+ years of experience in data analytics or a related professional role.
- 3+ years working directly with Sales, Operations, Product, or equivalent business teams.
- Fluency in SQL, including CTEs, window functions, and joins across large datasets.
- Proficiency in Python for data analysis, automation, and scripting, including Pandas and NumPy.
- Experience with business intelligence and data visualization tools such as Looker, Hex, or Tableau.
- Strong quantitative, analytical, and communication skills.
- Ability to translate data into business insights and work with stakeholders across functions and levels of technical fluency.
- Experience using generative AI and LLM-based tools such as Claude Code, Cursor, or GitHub Copilot for analysis, reporting automation, and self-service data tools.
Nice-to-haves
- Familiarity with Snowflake, BigQuery, or Databricks.
- Familiarity with dbt for data modeling and transformation.
- Exposure to Airflow or other data pipeline orchestration tools.
- Experience in fintech, financial services, or payments.
- Comfort working in a fast-paced, high-growth environment with evolving priorities.
Compensation and Benefits
- Hybrid work environment with a minimum of three coordinated days per week in the São Paulo office: Monday, Wednesday, and Thursday.
- Up to four weeks per year of fully remote work.
Skills
SQL, Python, pandas, NumPy, Looker, Hex, Tableau, Generative AI, Llm Tools, Snowflake, BigQuery, Databricks, dbt, Airflow
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