Lead Data Analyst

As a Lead Data Analyst, you'll be a key influencer in driving our data analysis strategy, leading complex projects, and mentoring a team of analysts. This is an exceptional opportunity to shape the future of data within the organization, working on high-impact initiatives for our Merchandising, Supply Chain, Marketing, IBP and Stores teams that directly contribute to business success through deep analytical rigor and actionable insights. If you're a visionary data leader with a passion for innovation, statistical modeling, and translating complexity into clear business value, we encourage you to apply. This position is fully remote This role is an Individual Contributor position A day in the life as a Lead Data Analyst... Lead the analysis of complex, high-impact business problems across Merchandising, Supply Chain, Marketing, IBP and Stores using advanced statistical and analytical methodologies, providing critical insights and recommendations to decision-makers Identify and interpret critical trends, patterns, anomalies, or inconsistencies in massive and complex datasets to drive key improvements and strategic initiatives Design and implement A/B tests and experimental designs to measure the impact of strategic changes, ensuring rigorous methodology and valid conclusions Design, develop, and maintain advanced analytical models and data structures (e.g., feature engineering, ETL logic, analytical tables) to support complex business requirements and reporting needs Lead and mentor a team of data analysts, providing guidance, training on analytical techniques, and support to enhance their technical and storytelling skills Collaborate with data engineering and product teams to define data requirements and ensure the integrity and accessibility of data sources used for analysis Actively participate in and champion team ceremonies (Scrum/Kanban) contributing to the successful delivery of sprint goals and continuous process improvement in the analytics pipeline Establishes and champions high standards for knowledge management and documentation of analytical methodologies, data sources, and model definitions, significantly enhancing team efficiency and reproducibility Stay up-to-date with the latest statistical methodologies, machine learning trends, and data technologies, proactively identifying opportunities for improvement and innovation in the analytics space What you'll bring to the table... Expert-level proficiency in SQL for advanced data manipulation, data preparation, querying complex relational and non-relational databases, and optimizing query performance Advanced application of Data Visualization tools (e.g., Tableau, Power BI, Looker) for designing and implementing complex, interactive dashboards and analytical storytelling Extensive knowledge of Advanced Statistical Analysis and Modeling, including regression analysis, time-series forecasting, hypothesis testing, and causal inference Ability to design and develop sophisticated and interactive data visualizations and executive-level dashboards that translate analytical findings into clear, actionable business narratives Proven expertise in Data Mining and cleaning techniques for extracting strategic insights from large and complex datasets using languages like Python or R Advanced skills in Predictive Modeling for developing highly accurate forecasting models and scenario planning tools (e.g., using libraries like scikit-learn or pandas) Exceptional collaboration, influence, and communication skills, with the ability to effectively communicate complex analytical concepts and influence decision-making at all levels of the organization We'd love to hear from you if you have... 8+ years of professional experience in a hands-on Data Analyst or Analytical role Bachelor's degree in Data Science, Information Systems, Mathematics, Statistics, Business Analytics or a related quantitative field (or equivalent practical experience) Proven experience leading the delivery of complex analytical projects and models in an agile environment Strong proficiency in one or more statistical programming languages (e.g., Python or R) for advanced data manipulation and modeling