Hybrid Senior Data Analyst

Posted 2 months ago

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About the role

  • Data Analyst role focusing on transforming data into actionable insights for business decisions in a healthcare organization. Proficient in Power BI and SQL, engaged in hybrid work.

Responsibilities

  • Analyze and model data.
  • Develop dashboards and KPIs in Power BI.
  • Ensure data quality, clarity, and governance.
  • Provide strategic support to business areas.
  • Translate data into actionable insights to support decision-making.
  • Focus on relational and multidimensional data modeling.
  • Deliver consistent, reusable, and easy-to-understand analyses.

Requirements

  • Advanced SQL (complex queries, joins, CTEs, window functions, optimization).
  • Experience with Git (code versioning and collaboration best practices).
  • Strong experience with Power BI (DAX, Power Query, data modeling, and visualization).
  • Knowledge of data modeling (star schema, dimensions and facts, SCDs).
  • Ability to tell a story with data and clearly present insights.
  • Experience in Data Warehouse / Data Lake environments.
  • Good communication skills and ability to interact with stakeholders.
  • Preferred / Nice-to-have:
  • Experience with DBT and/or Databricks.
  • Knowledge of Python or R.
  • Experience in data governance and Self-Service BI.
  • Knowledge of statistics and machine learning.
  • Experience with Commercial and/or Marketing data.

Benefits

  • Meal allowance / food card;
  • Flexible working hours and assignments (for remote positions);
  • Commuter allowance (for hybrid or on-site positions);
  • Profit-sharing (PLR);
  • Multibenefits: flexible benefit via Flash Card to use as you prefer;
  • Gympass / Wellhub;
  • Psicologia Viva (online platform for consultations with psychologists and nutritionists);
  • Health and dental insurance;
  • Life insurance;
  • Extended parental leave (up to 6 months for mothers and 20 days for fathers);
  • Rede D'Or: support and important information for maternal and baby health with a network of accredited nurses;
  • Partnership with your local SESC (varied programming in education, health, culture, leisure, and social services);
  • Birthday day off (one day off to take on your birthday or during your birthday month);
  • Platform with a variety of courses to enhance your knowledge (UCA);
  • Language academy (AIA);
  • Leadership development program;
  • Afya Women's Mentoring (MMA);
  • Discounts on undergraduate and graduate courses at Afya's educational units.

Job title

Senior Data Analyst

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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