Catarina Jesus

Marketing Analyst at Atlas Business consulting
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Contact Information
Location
Greater Boston
Languages
  • English Full professional proficiency
  • Spanish Elementary proficiency
  • Portuguese Native or bilingual proficiency

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Credentials

  • Introduction to Python
    DataCamp
    Jan, 2023
    - Sep, 2024
  • Data Manipulation in SQL
    DataCamp
    Nov, 2022
    - Sep, 2024
  • Intermediate SQL Queries
    DataCamp
    Oct, 2022
    - Sep, 2024
  • Joining Data in SQL
    DataCamp
    Oct, 2022
    - Sep, 2024
  • IELTS Academic
    IELTS Official
    Jan, 2021
    - Sep, 2024
  • Excel Certificate
    Católica Porto Business School
  • Word Certificate
    Católica Porto Business School

Experience

    • United States
    • Financial Services
    • Marketing Analyst
      • Sep 2023 - Present

      • Establish product knowledge and client compliance, accounting for a 10% of job responsibilities. • Developed marketing plans and marketing strategies, contributing to 20% of overall duties. • Conducted market research for product expansion, representing 15% of daily tasks. • Gathered data from consumers, sales and competitors, to set specific weekly, monthly, and annual marketing goals. • Developed reports and presented findings to key stakeholders with Power BI. • Establish product knowledge and client compliance, accounting for a 10% of job responsibilities. • Developed marketing plans and marketing strategies, contributing to 20% of overall duties. • Conducted market research for product expansion, representing 15% of daily tasks. • Gathered data from consumers, sales and competitors, to set specific weekly, monthly, and annual marketing goals. • Developed reports and presented findings to key stakeholders with Power BI.

    • Portugal
    • Retail Apparel and Fashion
    • 1 - 100 Employee
    • Data Analyst
      • May 2023 - Jul 2023

      •Developed a predictive model for customer behavior using machine learning algorithms and customer feedback data using Python and R, resulting in a 20% increase in customer satisfaction scores and a 10% increase in sales. •Leveraged data analysis and market research to develop accurate sales forecasts and optimized product offerings; reduced customer churn rate by 15%. •Created monthly sales dashboards with Power BI, resulting in a 10% improvement in accuracy to forecast sales. •Developed a predictive model for customer behavior using machine learning algorithms and customer feedback data using Python and R, resulting in a 20% increase in customer satisfaction scores and a 10% increase in sales. •Leveraged data analysis and market research to develop accurate sales forecasts and optimized product offerings; reduced customer churn rate by 15%. •Created monthly sales dashboards with Power BI, resulting in a 10% improvement in accuracy to forecast sales.

    • Spain
    • Accounting
    • 100 - 200 Employee
    • Audit Intern
      • Jul 2022 - Aug 2022

      •Conducted financial audits for 30+ clients, reviewing balance sheets and income statements and identifying potential risks. •Identified areas for improvement and made recommendations that increased the overall efficiency by 17% per client. •Researched tax issues at the federal and local levels, reducing penalty fees by 15%. •Identified bottlenecks in accounts payable process, reducing payment processing time by 25%. •Conducted financial audits for 30+ clients, reviewing balance sheets and income statements and identifying potential risks. •Identified areas for improvement and made recommendations that increased the overall efficiency by 17% per client. •Researched tax issues at the federal and local levels, reducing penalty fees by 15%. •Identified bottlenecks in accounts payable process, reducing payment processing time by 25%.

    • Business Analyst Intern
      • Sep 2021 - Jun 2022

      •Developed charts, graphs and interactive dashboards using Power BI and Tableau to analyze product performance, highlighting a 15% growth in sales in the top-selling items. •Analyzed sales data and identified the categories with higher profit margin, increasing sales revenue by 10% for each category. •Analyzed sales by employee and find the top employees that generate more than 50% of sales revenue, resulting in the introduction of training programs and incentives for sales staff. •Developed charts, graphs and interactive dashboards using Power BI and Tableau to analyze product performance, highlighting a 15% growth in sales in the top-selling items. •Analyzed sales data and identified the categories with higher profit margin, increasing sales revenue by 10% for each category. •Analyzed sales by employee and find the top employees that generate more than 50% of sales revenue, resulting in the introduction of training programs and incentives for sales staff.

Education

  • Hult International Business School
    Master's degree, Business Analytics
    2022 - 2023
  • Católica Porto Business School
    Bachelor's degree, Business Administration
    2019 - 2022
  • Universität Mannheim
    Erasmus Program
    2021 - 2022
  • Loughborough University
    Two-week intensive English course
    2017 -
  • Colégio Internato Claret
    High School Diploma, Economics
    2017 - 2019

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