shopback-2 - ShopBack - Data Analyst (Internship) (H2 2026) (1539)
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Requirements
• Good foundation in Python is a plus but not required • Excellent communication skills to convey data solutions to stakeholders. • Self-starter and is comfortable to work in a highly ambiguous environment where scope of responsibility is driven by the needs of ShopBack users. • At this time, we are only able to consider candidates located ONLY in Singapore. However, we’d hope you continue to keep us in mind for other potential opportunities in the future. • ShopBackers' DNA • Grit - We tackle all challenges head-on, working together to solve problems and achieve success. • Hunger - We value hard work, and having relentless drive. • Speed - We move fast and have a bias for action, all to deliver maximum impact. • Impact - We focus on results, always aiming for the best possible outcomes and timelines. • Growth - We embrace a growth mindset, constantly striving to learn, improve, and excel in our roles. • Exclusively for ShopBackers • Career progression paths and opportunities to take on greater challenges that help you realise your ambitions. • Be part of a winning team on a journey to global scale. • Competitive compensation based on your performance. • Candid, open, and collaborative culture where feedback is valued, for everyone to grow and improve every day.
Responsibilities
• Analyze and interpret complex datasets to identify trends and patterns relevant to the company's business objectives. • Develop data visualizations that effectively communicate findings from analyses for stakeholders at all levels of decision making. • Collaborate with cross-functional teams, including marketing, sales, product development, and operations, to understand their needs regarding data insights and reports. • Maintain a robust understanding of the company's products or services as well as industry trends that may impact business performance; stay informed about relevant news articles, blog posts, podcast episodes, webinars, etc., through various media channels (e.g., LinkedIn). • Continuously improve data collection processes and ensure accuracy in datasets by identifying gaps or inconsistencies within existing systems/databases as well as suggesting improvements to streamline workflows for the team when necessary; implement changes after consulting with relevant stakeholders, including IT department. • Conduct regular meetings with cross-functional teams and present data findings in an accessible manner that supports informed decision making across all levels of management within a business context (e.g., quarterly reports). • Actively seek feedback from team members on the effectiveness of current reporting methods, tools used for analysis or visualization; propose new solutions when necessary to enhance efficiency and accuracy based on evolving needs/goals as well as emerging technologies in data analytics (e.g., machine learning algorithms). • Participate in industry conferences, workshops, webinars, etc., related to the company's products or services; network with peers within and outside of our organization for knowledge sharing opportunities that may benefit both parties involved while also staying abreast of latest developments/trends affecting business performance. • Maintain confidentiality regarding sensitive information shared during meetings, presentations etc.; adhere to company policies on data privacy laws and regulations; ensure compliance with internal security protocols when handling proprietary or customer data (e.g., access control measures). • Communicate effectively both verbally/in writing across various channels within an organization while also collaborating closely with other departments outside of our own to facilitate seamless flow between different parts of business operations; provide timely updates on progress towards goals set forth by senior management or external partners when required.
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