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CANDIDATE-SE

Vaga ofertada por parceiro do Jobbol:
Kaspersky has been protecting individuals and corporate clients all over the world from cyber threats for 27 years.We have 400 million unique users, 270 000 corporate clients, 517 products, 1100 technological patents and 34 offices around the world.Today our team has more than 5 000 top level experts, all of them regular people with their own talents and hobbies.
Together we protect the world from cyber threats.
Join us to become part of an exceptional team, while remaining yourself and using your skills to keep us growing and evolving.We are looking for a highly motivated and enthusiastic Business Intelligence (BI) Ecommerce Data Intern to support our data-driven decision-making process.
This internship will provide hands-on experience working with large datasets, analyzing e-commerce performance, and contributing to strategic insights.Key Responsibilities:Assist in collecting and organizing data from various e-commerce platforms, including sales, customer behavior, and product performance data.Support the development and maintenance of dashboards and reports using BI tools (e.g., Power BI, Tableau, Google Data Studio).Conduct ad-hoc data analysis to identify trends, customer insights, and opportunities for optimization.Perform data cleaning and transformation to ensure data accuracy and reliability.Work with cross-functional teams (marketing, sales, product) to understand their data needs and provide actionable insights.Help develop automated reports to monitor key performance indicators (KPIs) for e-commerce operations.Assist in the creation of visualizations to present findings in a clear and impactful manner.Analyze the impact of promotional campaigns, product launches, and other marketing initiatives.Document and present analysis results to stakeholders in a concise and clear format.Required Skills and Qualifications:Currently pursuing or recently completed a degree in Business, Computer Science, Data Analytics, Statistics, or related field.Strong understanding of e-commerce metrics and KPIs (e.g., conversion rate, average order value, customer lifetime value).Proficiency in Microsoft Excel, Google Sheets, or other data analysis tools.Strong attention to detail with the ability to spot trends and anomalies in large datasets.Excellent communication skills, with the ability to present technical data insights to non-technical stakeholders.Ability to work independently and in a team environment, managing multiple tasks efficiently.Strong analytical thinking and problem-solving abilities.Preferred Qualifications:Basic knowledge of SQL and/or data query languages is a plus.Experience with BI tools like Power BI, Tableau, or Google Data Studio is a plus.Experience with Python or R for data analysis is a plus.Basic understanding of e-commerce platforms such as Shopify, WooCommerce, Magento is a plus.
Familiarity with web analytics tools like Google Analytics.