• Recommend underwriting, line/limit, and policy changes to responsibly grow approvals and usage (e.g., cutoffs, segmentation, decision logic), using internal behavior, external risk signals, and reject inference techniques. • Develop cross-product customer credit profiles by connecting external credit attributes to on-us behavior, and identify signals that generalize across products vs. are product-specific. • Drive outcomes from uncovering insights in monitoring, to recommending and executing against strategic insights. • Design, execute, and analyze experiments (A/B tests, holdouts, policy tests), turning results into strategic recommendations and roll-out plans. • Intertwine analytics with business and product strategy to craft business proposals that ultimately impact the bottom-line. • Dig into user behavior and “double-clicks” of the data to identify high-impact opportunities for product improvements or targeted outreach, including second-order impacts. • Leverage AI-powered tools and techniques to accelerate analysis, develop and validate predictive insights, and push the boundaries of what’s possible in product analytics. • Share business insights and product enhancement recommendations to senior leadership and stakeholders effectively and concisely.

• Serve as the company's subject matter expert for Zoho One and all integrated applications. • Maintain and optimize Zoho CRM, FSM, Billing, Analytics, and related Zoho products. • Configure custom modules, fields, layouts, workflows, validation rules, and permissions. • Recommend platform improvements based on evolving business needs. • Ensure system configuration follows best practices and remains scalable. • Design executive dashboards and operational reporting within Zoho Analytics. • Develop reporting frameworks that consolidate data across CRM, FSM, Billing, and other business systems. • Build self-service dashboards that allow leadership to monitor KPIs in real time. • Design meaningful metrics that support operational and strategic decision-making. • Create automated reporting schedules and KPI scorecards for business leaders. • Ensure reporting accuracy through proper data modeling and validation. • Design and maintain a centralized reporting data model. • Identify and resolve data inconsistencies across Zoho applications. • Improve overall data quality, governance, and reporting reliability. • Develop historical reporting solutions for trend analysis and forecasting. • Partner with stakeholders to define KPI definitions and reporting standards. • Develop custom workflows using Zoho Deluge scripting. • Build automation to eliminate manual processes whenever possible. • Create custom functions, scheduled workflows, and business rules. • Configure integrations between Zoho applications and third-party platforms. • Continuously identify opportunities to streamline operations through automation. • Partner with Sales, Operations, Finance, Customer Service, and Executive Leadership to understand reporting and operational needs. • Translate business requirements into scalable technical solutions. • Provide recommendations on how to improve business processes using Zoho. • Participate in cross-functional projects involving system enhancements and digital transformation initiatives. • Serve as the internal Zoho expert and primary point of contact for platform-related questions. • Train users on best practices and new system capabilities. • Develop SOPs, user guides, and documentation for Zoho processes. • Support user adoption of new features and process improvements. • Recommend improvements to business processes based on platform capabilities. • Evaluate new Zoho applications and features that may benefit the organization. • Help define the company's long-term reporting and business intelligence strategy. • Collaborate with leadership to prioritize future system enhancements. • Ensure the Zoho ecosystem supports organizational growth and scalability.

• Analyze player behaviour and product changes across the entire lifecycle (onboarding, retention, monetization, progression, LiveOps, and game economy health). • Run deep-dive funnel, cohort, and segmentation analyses to identify friction points, drop-offs, and player spending patterns. • Translate ambiguous product questions into structured analyses, clear findings, and actionable recommendations. • Work hands-on with our AWS-based analytics stack (S3, Athena, DBT, Prefect) to create, maintain, and optimize robust ETL pipelines. • Write cost- and performance-aware SQL to build analytical views that make core datasets accessible to the wider team. • Proactively QA data pipelines and telemetry, identifying broken tracking, inconsistent definitions, or anomalies in event volume. • Partner with Product, Engineering, and Design to architect tracking plans and define data telemetry before new features launch. • Support the end-to-end design, success metric definition, and post-analysis of A/B tests and feature experiments. • Leverage modern AI development tools to accelerate your SQL/Python scripting, workflow automation, and documentation. • Build reusable notebooks, scripts, and analytical workflows to scale insights across our small, remote-first studio.

• Extract employee and organizational data from the Insperity HR platform. • Pull, analyze, and reconcile Excel reports from multiple data sources. • Review historical employee data to identify inconsistencies, duplicate records, missing information, and inaccuracies. • Perform data cleanup activities following established business rules and project guidelines. • Research, validate, organize, and maintain employee data. • Prepare clean, accurate datasets for migration into a new HRIS platform. • Create and maintain Excel files used for data transformation, validation, and import activities. • Support data validation and quality assurance throughout the HRIS implementation. • Document completed work and escalate discrepancies or data quality issues as needed. • Collaborate with project team members while consistently delivering accurate, high-quality work. • Assist with data validation, testing, and post-go-live support as project needs evolve.