Data Analyst (Product & Customer Analytics)

Allgemeine Daten
Land: Brazil
Stadt: unbekannt
Arbeitgeber: Oowlish Technology
Berufsfeld: Data Science & Analytics
Vertragsart: Full-Time
Gehalt: ab

 

Job-Beschreibung
Join Our Team
Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.
As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.
We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.
About the Role:
 

We are looking for a curious and analytical Data Analyst to help transform complex data into actionable insights that drive product, customer, and business decisions.

In this role, you will work closely with cross-functional teams to analyze customer behavior, product performance, and business trends while developing dashboards, reports, and data-driven recommendations. You will leverage modern analytics tools and statistical techniques to uncover opportunities, improve decision-making, and support strategic initiatives.

The ideal candidate combines strong SQL and statistical analysis skills with the ability to communicate complex findings clearly to both technical and non-technical stakeholders.

Key Responsibilities:

  • Analyze customer behavior, product performance, and business trends using large datasets.
  • Build dashboards, reports, and visualizations that support business decision-making.
  • Develop data models and queries to extract meaningful insights from multiple data sources.
  • Identify patterns, trends, and opportunities using statistical analysis and exploratory data techniques.
  • Collaborate with Product, Marketing, Engineering, and Business teams to support strategic initiatives.
  • Translate complex analyses into clear, actionable recommendations for stakeholders.
  • Support forecasting, segmentation, and customer behavior analysis.
  • Contribute to long-term analytics projects from planning through execution.
  • Continuously improve reporting processes, data quality, and analytics methodologies.

    • Requirements:

  • 3+ years of professional experience in Data Analytics, Business Analytics, or similar roles.
  • Strong SQL skills and experience working with large datasets.
  • Experience with Python, R, or another statistical programming language.
  • Experience building dashboards and data visualizations.
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation skills.
  • Experience collaborating with cross-functional teams.
  • Strong written and verbal English communication skills.

    • Must have:

  • Strong SQL experience.
  • Experience querying large datasets from multiple sources.
  • Professional experience with Python or R.
  • Experience building dashboards and reports.
  • Experience performing statistical analysis.
  • Strong understanding of customer or product analytics.
  • Experience presenting insights to stakeholders.
  • Strong data visualization skills.
  • Experience cleaning, transforming, and validating data.
  • Strong analytical thinking and business acumen.

    • Nice to have:

  • Experience with Google Analytics (GA4).
  • Experience with BigQuery.
  • Experience with Tableau, Looker, or Power BI.
  • Experience with predictive analytics or customer segmentation.
  • Experience with A/B testing.
  • Experience working alongside Data Science teams.
  • Retail or eCommerce analytics experience.
  • Experience with Hadoop or Hive.
  • Master's degree in a quantitative field.
    • Benefits & Perks:
    Home office;
    Competitive compensation based on experience;
    Career plans to allow for extensive growth in the company;
    International Projects;
    Oowlish English Program (Technical and Conversational);
    Oowlish Fitness with Total Pass;
    Games and Competitions;
    You can also apply here:

     

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