Assistant Data Analyst

About the Company Step into a high-impact Assistant Data Analyst role supporting a fast-growing consumer products business. You will work with data from more than 30 international markets and multiple business models, transforming complex datasets into strategic insights that leaders rely on. If you enjoy solving challenging problems, building powerful reports, and influencing decisions with data, this role gives you a chance to make your work visible at a global level. About the Role You will sit at the intersection of data, operations, and strategy—partnering with regional teams and senior stakeholders to ensure data is accurate, timely, and meaningful. This opportunity is ideal for someone who enjoys both the technical and business sides of analytics and expand experience working within international environment. Responsibilities • Support and help oversee the collection and processing of data from 30+ countries, ensuring accuracy, consistency, and on-time delivery across all international channels. • Conduct comprehensive analysis on global sales and inventory data to develop recommendations for inventory optimization and improved business performance. • Collaborate with data analytics teams and regional stakeholders to ensure required data is captured within agreed timelines and defined standards. • Facilitate seamless data flow between systems and business users, enhancing accessibility, usability, and reliability of datasets. • Act as a liaison between the central data organization and various regional and business partners, clearly communicating data requirements, expectations, and deliverables. • Leverage advanced Excel functionality, including Power Pivot and data models, to build reports, dashboards, and analytical tools. • Independently manage projects of moderate complexity and provide business-focused support on larger, cross-functional data initiatives. • Prepare and deliver regular reports, insights, and strategic recommendations to senior leadership and other key stakeholders. • Ensure data quality controls are followed and contribute to continuous improvement of international data management processes. Qualifications • Bachelor’s degree in Business Analytics, International Business, Data Analytics, or a closely related field. • MBA or a Master’s degree in Analytics or a related discipline preferred. • 4–6 years of experience in data analysis and data management within a global or multi-region business environment. • Prior experience working with international data sources and stakeholders across varied business models. • Demonstrated track record of using data to support strategic business decision-making. Required Skills • Advanced experience working with data models and complex data structures, particularly in large, multi-country environments. • Programming experience with Python for data processing, automation, and analysis tasks. • Comfortable working with large, complex datasets drawn from multiple business models and international sources. • Strong analytical capabilities with advanced proficiency in Power BI, Power Pivot, and Microsoft Excel. • Solid understanding of data management concepts and how they support broader business objectives. • Proven ability to interpret data and convert findings into clear, actionable business recommendations. • Effective project management skills, including planning, prioritizing, and executing moderately complex data projects. • Knowledge of international business structures (joint ventures, subsidiaries, distributors) and their differing data requirements. • Excellent written and verbal communication skills, including the ability to present complex analytical insights to non-technical stakeholders. • Ability to thrive in a dynamic, global environment and manage competing priorities. • Willingness to accommodate meetings and calls across multiple time zones as needed. Preferred Skills • Advanced Microsoft Excel, including Power Pivot, data models, pivot tables, advanced formulas, and complex spreadsheet design. • Power BI (or similar BI tools) for building dashboards, visualizations, KPIs, and self-service reporting solutions. • Python for data manipulation, automation scripts, and analytical workflows. • Experience working with large data extracts from ERP, CRM, or data warehouse systems. • Strong proficiency with standard office productivity tools (Outlook, PowerPoint, Word) to support communication and presentation of analytics. Pay range and compensation package Pay Rate: $35–$40 per hour Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices.