• Own and scale a modern healthcare data platform • Build core services, automation, and observability • Improve pipeline reliability and observability • Partner closely with data engineering, analytics, and DevOps • Architect and build core services, automation tools, and integrations that power our client's data ecosystem

Role Description As a Data Analytics Intern, you’ll be working closely with our business and marketing teams to analyze performance data, identify trends, and provide actionable insights to help improve our marketing strategies, customer experience, and operational processes. This is a hands-on, learning-focused role that will provide you with real-world experience in data analytics within a dynamic e-commerce environment. Key Responsibilities: - Assist in gathering, cleaning, and organizing data from various sources (e.g., marketing campaigns, website traffic, sales data). - Analyze and interpret data to identify trends, patterns, and opportunities for business improvement. - Support the creation of reports and dashboards that provide key insights into business performance. - Collaborate with marketing and product teams to assess the performance of campaigns and product offerings. - Help track and measure KPIs, such as conversion rates, customer acquisition costs, and lifetime value. - Present findings and recommendations in a clear and actionable manner to stakeholders. - Work with senior team members to enhance data models and business intelligence systems. Qualifications - Currently enrolled in a Bachelor’s or Master’s degree program in Data Analytics, Business, Statistics, Computer Science, or a related field. - Familiarity with data analysis tools and software (e.g., Excel, Google Analytics, SQL, Tableau, R, Python, etc.). - Strong analytical thinking with the ability to identify trends and derive actionable insights from data. - Basic understanding of statistics and data visualization techniques. - Excellent communication skills and the ability to present data in a clear, concise, and actionable way. - Ability to work independently, manage multiple tasks, and meet deadlines in a fast-paced, remote work environment. - Passion for fashion, e-commerce, or fitness is a plus!

We are growing! We are currently looking to hire a Data Engineer to work with us remotely. Who we are: Founded in 2006, we’re proud to be a global business. From Shanghai to Paris, we have 12 offices and operate across four continents in 70 countries. We are home to over 250 professionals from around the world, working together to serve more than 230 luxury clients. At CXG, we love to evolve, elevate, and transform experiences while bringing brand promises to life. We offer strategic solutions that impact performance and elevate the customer experience of some of the world’s most iconic premium and luxury brands. Your duties will also involve: - Maintain and manage website scraping configurations using Python - Monitor scraping configurations for errors and potential crashes. - Oversee retrieved data to detect potential issues and blockages. - Coordinate with stakeholders to understand scraping task requirements and report issues. - Prepare and share periodic reports on scraping activities with stakeholders. - Develop necessary pipelines to ingest data into the Datalake and perform required transformations.

We are growing! We are currently looking to hire a Data Engineer to work with us remotely. Who we are: Founded in 2006, we’re proud to be a global business. From Shanghai to Paris, we have 12 offices and operate across four continents in 70 countries. We are home to over 250 professionals from around the world, working together to serve more than 230 luxury clients. At CXG, we love to evolve, elevate, and transform experiences while bringing brand promises to life. We offer strategic solutions that impact performance and elevate the customer experience of some of the world’s most iconic premium and luxury brands. Your duties will also involve: - Maintain and manage website scraping configurations using Python - Monitor scraping configurations for errors and potential crashes. - Oversee retrieved data to detect potential issues and blockages. - Coordinate with stakeholders to understand scraping task requirements and report issues. - Prepare and share periodic reports on scraping activities with stakeholders. - Develop necessary pipelines to ingest data into the Datalake and perform required transformations.