Prepare scenario studies and business diagnostics;
Develop and support teams in measuring results, identifying opportunities, trends and patterns in data sets;
Technical work in developing and monitoring the organization’s performance indicators;
Demonstrate collaboration as a core behavior;
Communicate with members of your team and other teams to promote improved analytical capability;
Interact with the different roles in the data pipeline (engineers, other analysts, data scientists and business analysts);
Follow the product development process from conception to monitoring results in production (upstream and downstream);
Participate in the Data Analysis Chapter to learn and understand patterns, tools and processes, and to encourage and promote the dissemination of a data culture across colleagues and teams;
Maintain the necessary documentation to enable management of the data strategy (democratization, governance, quality, etc.);
Keep continuously evolving both technically and in business knowledge.

Knowledge of SQL for advanced data analysis and optimization.
Proficiency with data visualization tools such as Power BI for creating impactful dashboards.
Extensive experience in data modeling and performance optimization.
Proficiency in delivering business intelligence training and sharing knowledge.
Ability to raise relevant questions based on available data for further analysis.
Leadership skills to lead BI initiatives and drive strategic decisions.
Strategic thinking to identify opportunities for improvement based on data.
Excellent communication and presentation skills to influence stakeholders.
Ability to mentor and train junior team members to develop their skills.
Resilience and adaptability to face complex business challenges.
Experience with analytical and visualization tools;
Building queries for relational and non-relational databases;
Exploratory data analysis;
Code versioning management;
BI and KPI concepts;
Data analytics and data visualization;
Storytelling;
Descriptive statistics;
Data governance and LGPD (Brazil's General Data Protection Law);
Programming logic.

14th and 15th fixed salary payments (extra annual payments)
Profit-sharing (based on seniority)
Health and dental plans with no co-pay
Wellness programs via Wellhub (formerly Gympass) including nutrition, psychology, occupational health, massage, running group and local gym
Meal and food allowances – flexible allocation between meal/food cards (VA/VR), no co-pay
Extended maternity and paternity leave
Childcare or nanny assistance for children up to 6 years and 11 months
Assistance for children with disabilities, no age limit
Life insurance
Private pension plan up to 7% of salary
Training platform – Sicredi Aprende, with a variety of courses
40-hour workweek – using a time bank system
Remote work allowance (except for positions that are 100% on-site)

Data Analyst

Key skills