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Data Analyst at Escale (São Paulo, Brazil)

About Us 

We dream big and constantly focus on the customer, knowing that what we do today are the building blocks for the greater future. We have a highly diverse culture and intend to keep it that way, respecting everyone regardless of their age, sex, skin color, country of origin, sexual orientation, gender identity or experience level. And recently, we launched a corporate campaign to not only respect but also encourage women empowerment #escalecomoumagarota . We put deep understanding of agile values, above specific processes and methodologies. We make decisions based on data and are highly results oriented. Our culture resembles a sport team more than a family, where trust and respect are earned by winning hard battles together.

About You ‍ ‍

You’re a master of your craft and a relentless problem solver. You think critically and question everything, seeking deep understanding of concepts and business problems. You are transparent and a tireless truth teller, sharing information in an efficient and constructive way to improve the environment around you. You’re an outlier, you do and achieve things that most people find hard or even impossible. You’re humble and a solid team contributor, knowing not to put your personal interests above the team’s and that every interaction is a learning opportunity.

Main Activities

  • Discovering new opportunities in growth and business optimization through analysis and modeling

  • Generating behavior and engagement hypotheses, suggesting experiments on how to test these hypotheses

  • Create customer segmentations and strategies on how to interact with them

  • Performance analysis by channel to identify, evaluate and prioritize opportunities

  • Conducting several web analytics analyses generating insights and making decisions on products, optimizations and tests

Desired Skills and Expertise Expected Qualifications

  • A degree in Mathematics, Statistics or Engineering

  • Experience with data mining and business analytics

  • Skills in translating business problems in structured analysis and data into insights

  • Fluency in creating reports and answering complex questions

  • Practical knowledge in Growth and Digital Marketing

Preferred Qualifications

  • Experience with data modeling and database dimensional models

  • Advanced experience with SQL and with at least one programming language (Python, R)

  • Practical knowledge in Statistics, A/B test modeling, hypothesis testing