Analytics Engineer – Tech Lead

This is a fully remote position, open to applicants anywhere in the world.

📋 Description

• Oversee the design and modeling of analytical data with a focus on product metrics and the customer journey;

• Act as the technical authority for the Analytics Engineering team, advocating for quality standards, version control, and thorough documentation of code and data pipelines;

• Strategize, evaluate, and enhance pipelines using SQL, dbt, and other tools within our technology stack;

• Guarantee governance, reliability, and quality of data utilized in experiments (such as A/B tests), dashboards, and product evaluations;

• Partner with cross-functional teams to uncover opportunities, establish metrics, assist in decision-making, and assess the effects of features and enhancements;

• Guide and technically nurture the team, fostering best practices in data engineering and product analytics;

• Keep abreast of analytics engineering trends, introducing innovative solutions and automations to boost efficiency and competitiveness;

• Define, implement, and refine centralized metrics (the organization's "source of truth"), ensuring they are documented and maintained for the entire company;

• Cultivate a collaborative, inclusive, and impact-driven culture.

⛳️ Requirements

• Extensive experience as a Tech Lead in data teams, ideally with a background in digital or financial products;

• Advanced proficiency in data modeling, constructing data marts, and developing scalable analytical pipelines;

• Practical experience with dbt (crucial for our transformation processes) and code versioning tools (Git/GitHub);

• Expertise in SQL for manipulating and transforming substantial data sets;

• Proficiency in Python for extracting and orchestrating data pipelines;

• Exceptional communication skills to serve as a liaison between the credit squad's business requirements and technical execution;

• Familiarity with BI tools (Metabase, Power BI, Tableau, or similar);

• Degree or equivalent experience in Engineering, Data Science, Computer Science, Information Systems, Statistics, Economics, or related areas.

🏝️ Benefits

• Medical and dental insurance with no co-pay

• Life insurance

• Medication assistance

• Fitness allowance

• Partnership with Neon for financial health and with Zenklub for mental and physical health (4 free sessions per month with a therapist or nutritionist)

• Quick massage at headquarters

• Flexible meal benefit via credit card (Visa)

• Complimentary meals at headquarters

• Childcare assistance

• Parental support program

• Extended maternity and paternity leave

• In-company training platform

• Education assistance covering 70% of tuition for degrees and language courses, as well as purchases of courses and books

• Home office allowance

• Work equipment provided

• Furniture allowance

• Partnership with WOBA for coworking spaces across Brazil

• Day off during your birthday month

• Happy hour allowance

• Employee referral bonus

• Bonus based on annual targets

• Stock options plan

• Casual, dress-code-free work environment