Full Data Analyst (Product Focus)

3 Minutes ago • All levels • Data Analysis

Job Summary

Job Description

This role involves extracting, transforming, and analyzing various data types, including product usage, A/B tests, surveys, and NPS, to generate actionable insights. The analyst will optimize product strategies, monitor new initiatives' performance, and conduct financial analyses. Key responsibilities include building SQL and Python queries, utilizing data visualization tools like Power BI and Tableau, and supporting the data catalog's evolution. The ideal candidate possesses a strong understanding of business problems, capable of formulating hypotheses and solving them through data-driven approaches.
Must have:
  • Extract, transform, analyze, and generate insights using various data types (product usage, A/B testing, surveys, NPS).
  • Develop analyses and insights to optimize product strategies.
  • Monitor and control the performance of new initiatives, focusing on product and financial indicators.
  • Perform financial analysis routines for monthly closings and projections.
  • Build queries in SQL, Python, and other technologies.
  • Knowledge of data visualization tools like Power BI, Tableau.
  • Support the evolution of the data catalog with the Data Engineering team.
  • Understand business problems, break them into hypotheses, and answer through data analysis.
Good to have:
  • Background in Product Analytics, Data Science, Statistics, or related fields.
  • Practical experience in product analysis as a data analyst/scientist.
  • Professional experience building reports and dashboards with Tableau or Power BI.
  • Ability to communicate study results to diverse technical audiences.
  • Knowledge of causal inference, especially A/B test analysis.
Perks:
  • Inclusive culture
  • Environment that balances career with personal commitments and interests
  • Focus on well-being
  • Recognized as a Great Place To Work™ in 24 countries
  • International Top Employers certification
  • Recognized as one of the best companies for young professionals
  • 4.6 Glassdoor rating

Job Details

Company Description

Serasa Experian is the first and largest Datatech in Brazil. Leader in intelligence solutions for risk and opportunity analysis, focusing on credit, authentication, and fraud prevention journeys. With cutting-edge technology, innovation, and the best talents, it transforms the uncertainty of risk into the best decision, helping people achieve their dreams and companies of all sizes and segments to prosper.

We have 22,000 people operating in 32 countries, and every day we are investing in new technologies, talented professionals, and innovation to help all clients maximize every opportunity. With corporate headquarters in Dublin, Ireland, Experian is listed on the London Stock Exchange (EXPN) and is part of the FTSE 100 index.

Job Description

  • Extract, transform, analyze, and generate insights using different types of data (product usage data, A/B testing, surveys, and NPS)
  • Develop analyses and insights to optimize product strategies.
  • Monitor and control the performance of new initiatives, from the perspective of product and financial indicators;
  • Perform financial analysis routines for monthly closings and projections;
  • Build queries in SQL, Python, among other technologies;
  • Knowledge of data visualization tools such as Power BI, Tableau, among other technologies.
  • Support the evolution of our data catalog with the Data Engineering team.
  • Have a good understanding of business problems/questions, with the ability to break them down into hypotheses and answer them through data analysis.

Qualifications

  • Background in Product Analytics, Data Science, Statistics, other related fields, or relevant experience in these areas.
  • Practical experience working in product analysis as a data analyst/scientist, using SQL or Python.
  • Professional experience with data visualization tools (Tableau, Power BI) using them to build reports and dashboards;
  • Ease in communicating study results and analyses to people with different levels of technical data knowledge.
  • Knowledge of causal inference, especially with A/B test analysis;

Additional Information

Serasa Experian is much more than you imagine. With the purpose of creating a better future, expanding opportunities for people and companies, in Brazil we are more than 4,000 people working in various teams and specialties. Here, every knowledge and diversity complements each other, and you can work on what you love most. We are committed to building an inclusive culture and an environment where people can balance their careers with their personal commitments and interests, prioritizing well-being.

We are very dedicated to being one of the best and most innovative companies to work for in the country, providing incredible experiences and careers for our people. Our strong people-first approach is externally recognized through various market certifications: we have been awarded by Great Place To Work™ in 24 countries and by the international Top Employers certification, in addition to being recognized as one of the best companies for young professionals and having a 4.6 rating on Glassdoor. Each recognition indicates that we are on the right path, providing an increasingly better work environment for our talents.

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