• Build, streamline, and automate recurring data models and reporting processes to reduce manual workload. • Own large, complex financial and operational datasets (NetSuite, marketplace reports, external files) and translate them into usable formats. • Develop sophisticated Excel and/or BI dashboards (Power BI etc.) for financial and operational performance tracking. • Partner with Finance and Accounting teams to provide analytical support for key business questions (COGS allocation, SKU profitability, channel analysis, etc.). • Support month-end and quarter-end reporting by structuring large data extracts into reconciled reporting packages. • Assist in variance analyses across sales channels, products, and cost drivers to identify risks and opportunities. • Identify inefficiencies in current manual processes and propose/implement data-driven solutions. • Support automation initiatives that enable scalability of reporting and analysis. • Collaborate cross-functionally (Finance, Accounting, Supply Chain, IT) to ensure data integrity and improve upstream inputs. • Take a leading role in ad hoc data pulls and analysis to support decision-making. • Assist in the preparation of financial presentations (financial views, slides, etc.) • Provide support for strategic projects e.g., pricing automation, channel expansion etc.

• Design and develop Power BI reports and dashboards that provide meaningful insights and support decision-making • Conduct deep-dive analyses using Snowflake SQL and BI tools to identify trends, patterns, and actionable insights • Build, enhance, and maintain interactive Power BI dashboards, ensuring performance, usability, and consistency • Support ETL processes and data pipelines within Azure to ensure reliable, well-structured data for reporting and analytics • Work closely with Azure data services, including the data lake, to understand data ingestion, storage, and transformations • Create and maintain ERDs and data dictionaries to document data structures, relationships, and business definitions • Serve as an expert in gathering actionable requirements and executing against them in an agile environment • Support data governance, cataloging, lineage, and metadata management • Collaborate closely with business stakeholders to gather requirements, understand reporting needs, and translate them into effective data solutions • Investigate and assess existing reports with the ability to convert them into Power BI dashboards or enhance them as needed • Define and develop metrics to measure operational health and excellence across organizations and initiatives • Maintain and improve the integrity and reliability of internal and external data sources; collaborate with stakeholders to capture additional data and ensure accuracy and consistency • Regularly prepare reports and presentations that summarize findings, provide actionable insights, and track the impact of implemented strategies • Effectively communicate insights and recommendations to influence decision-making and drive growth

• Process and clean datasets for analysis • Perform statistical modeling and regression analysis on education related data • Form hypotheses and locate compelling support for arguments under tight deadlines • Write up findings and key takeaways in a clear and concise manner

• Collaborate with Product Managers to analyze game and monetization data, transforming findings into actionable metrics, insights, and recommendations. • Engage with various stakeholders to define business needs and translate them into precise analytical questions and relevant key metrics. • Design and build efficient, well-structured data models to generate scalable metrics, supporting various tools and processes used for data-informed decision-making. • Conduct in-depth exploratory analysis using analytical tools or efficient SQL queries. • Identify significant trends, anomalies, and opportunities by analyzing data across millions of players.