Analista de Dados Pleno | Aquisição

J
JobgetherData Analytics
Remote work model with professionals located across Brazil.Full-TimeMiddle
Salary not disclosed
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Job Details

Required Skills
SQLData AnalysisMicrosoft Power BIMicrosoft ExcelData visualizationCRM

Requirements

  • Experience as a Data Analyst with a focus on sales, marketing, or customer acquisition.
  • Bachelor’s degree in Statistics, Accounting, Computer Science, Engineering, Business Administration, or related fields.
  • Strong knowledge of marketing and sales metrics, including consumer behavior, acquisition KPIs, and OKRs.
  • Experience with customer segmentation, prospect analysis, and market or competitive analysis.
  • Advanced Excel skills, including complex formulas, pivot tables, and data visualization.
  • Intermediate Power BI skills for creating interactive reports and dashboards.
  • Experience with CRM tools and marketing automation platforms such as Pipedrive, RD Station, Intercom, or similar solutions.
  • Intermediate SQL knowledge for querying and manipulating databases.
  • Strong analytical thinking and ability to translate data into strategic insights.
  • Excellent written and verbal communication skills.
  • Proactive, organized, and comfortable working independently and collaboratively.
  • Results-oriented mindset with attention to detail and continuous improvement.

Responsibilities

  • Collect, organize, and analyze large volumes of marketing and sales data to identify opportunities and trends.
  • Develop reports, dashboards, and analytical solutions that provide accurate and actionable insights for business teams.
  • Manipulate and interpret data to identify patterns, customer behaviors, and factors impacting acquisition strategies.
  • Collaborate with marketing and sales teams to understand data needs and deliver analytical solutions.
  • Support the definition and monitoring of KPIs, metrics, and OKRs related to customer acquisition and business performance.
  • Perform statistical analyses and contribute to predictive models focused on customer behavior and sales trends.
  • Ensure data quality and integrity through regular validation, monitoring, and review processes.
  • Communicate complex analytical findings clearly to different audiences across the organization.
  • Provide recommendations based on data analysis to support decision-making and process improvements.
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