Data Analyst Pleno - Marketing
New
J
JobgetherMarketing Analytics
BrazilFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLMicrosoft Power BITableauData visualizationA/B testing
Requirements
- Advanced SQL skills for data manipulation, querying, and analysis of large datasets.
- Experience using Python for data processing, transformation, analysis, and visualization.
- Experience with Data Visualization tools such as Power BI, Looker Studio, Tableau, Metabase, or similar platforms.
- Understanding of marketing operations, business processes, and attribution model concepts.
- Basic knowledge of statistics, including descriptive statistics and A/B testing concepts.
- Ability to translate business needs into analytical approaches and clear recommendations.
- Strong communication skills and ability to collaborate with multidisciplinary teams.
- Degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, Information Systems, or equivalent practical experience is a plus.
- Experience in fintech, payments, financial services, or similar industries is a plus.
- Hands-on experience designing and executing end-to-end A/B tests is a plus.
- Experience working with Databricks environments is a plus.
- Experience with Segment, OpenSnowcat, or event-based product/web analytics tools such as GA4 or Amplitude is a plus.
- Experience creating, implementing, or optimizing attribution models is a plus.
Responsibilities
- Conduct data analyses and studies to support marketing decisions, transforming business questions into hypotheses, insights, and actionable recommendations.
- Develop, maintain, and improve dashboards and data visualization solutions to monitor performance and support strategic initiatives.
- Collaborate with marketing, data, and cross-functional teams to understand challenges and deliver impactful analytical solutions.
- Ensure data quality and reliability across reports, analyses, and business intelligence outputs.
- Share knowledge, contribute to technical discussions, and promote continuous improvement within the team.
- Apply analytical methodologies to identify opportunities, measure results, and support optimization initiatives.
- Stay updated on new analytics techniques, marketing data trends, and emerging technologies.
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