Role Description We are seeking a Senior Business Analytics Analyst to own and evolve our Care demand forecasting model, which drives workforce planning, capacity decisions, and financial forecasting. This role combines strong SQL and R expertise with advanced forecasting knowledge and the ability to translate complex outputs into clear, executive-ready insights. - Own and Evolve the Demand Forecast Model: Serve as an owner of GoDaddy's Care demand forecasting model — maintaining accuracy, implementing improvements, and ensuring the model evolves alongside changing business conditions and priorities. - Drive Model Development and Innovation: Find opportunities to improve forecast methodology, incorporate new data sources, and apply advanced statistical and machine learning techniques to increase model precision and reliability. - Translate Forecast Outputs into Business Decisions: Convert complex model outputs into clear, compelling narratives for senior and executive leadership — ensuring forecast results are understood, trusted, and acted upon across the organization. - Own Forecast Reporting Infrastructure: Develop and maintain the reporting and data infrastructure that supports the forecast model, ensuring scalability, accuracy, and accessibility for all internal team members. - Lead Advanced Analytics Initiatives: Develop and deploy predictive models, statistical forecasts, and data-driven solutions that address high-priority business questions across the Care organization. - Partner with Cross-Functional Leaders: Collaborate with finance, workforce management, operations, and Care leadership to align forecast assumptions, communicate model updates, and incorporate business context into forecast inputs. - Set Analytical Standards: Establish and champion standard processes for forecasting methodology, model documentation, and analytical rigor across the analytics function. - Share Knowledge and Elevate the Team: Serve as the internal subject matter expert on demand forecasting — sharing knowledge, documenting methodology, and helping team members understand and apply forecast outputs effectively. - Identify and Quantify Business Opportunities: Proactively surface insights from forecast data that find opportunities for cost reduction, capacity optimization, or revenue growth. - Champion AI Adoption: Lead the integration of AI tools and platforms into the forecasting workflow, setting the standard for how the team uses AI to accelerate model development and improve forecast quality. Qualifications - 7+ years of experience in analytics, forecasting, or a related quantitative field, including 3+ years of hands-on experience building, maintaining, and improving demand forecasting or predictive models in a business setting. - Advanced proficiency in SQL, including query optimization, complex joins, window functions, and stored procedures, and strong proficiency in R, or similar, for statistical modeling, forecasting, automation, production-ready analytical workflows, and using AI tools to accelerate model development. - Demonstrated experience with time series forecasting methods such as ARIMA, SARIMA, exponential smoothing, and regression-based approaches, with the ability to apply those methods to workforce planning, capacity management, or financial forecasting. - Strong executive communication, stakeholder partnership, and project management skills, including the ability to present complex forecast outputs to senior leaders, influence strategic decisions, and lead multiple high-priority projects in ambiguous environments. - Experience working in or directly supporting a customer care, contact center, or workforce management environment, with familiarity translating operational metrics into forecast assumptions and planning recommendations. Requirements - Bachelor's/Master’s degree in Statistics, Mathematics, Economics, Finance, or a related quantitative field. - Experience applying forecasting, analytics, automation, or AI-enabled workflows in a customer care, contact center, workforce management, or similarly operational environment. Benefits - Competitive pay - Generous time off - Parental leave - Healthcare - Retirement savings program - Health, dental, and vision insurance - Life insurance - Critical illness insurance - AD&D insurance - Health care spending account - Employee assistance program - Paid sick time - Paid personal time - Paid parental leave - Remote work options - Paid holidays - Paid Wellness days - Employee stock purchase plan - Discretionary cash bonus scheme that pays 15% of base salary based on individual and company performance

• Validate retail consumption (POS) forecasts into demand (shipments), accounting for distribution, promotion, and inventory dynamics within the demand planning tool (e.g., Vividly & Atomic). • Validate commercial inputs — including distribution changes, promotional lifts, and new item launches — into the forecasting workflow in close partnership with sales planning teams. • Review and challenge future forecast reasonableness based on historical POS performance, shipment history, and MAPE/bias trends to ensure forecasts reflect latest market realities. • Own forecast accuracy reporting — publish monthly MAPE and bias reports by SKU, retailer, and key customer x SKU combinations. • Deconstruct MAPE performance each reporting period to diagnose root causes and drive continuous improvement in forecast process and data quality in partnership with sales planning lead at both the national and node level. • Maintain the override log with written justification for all deviations from the statistical baseline (source, rationale, duration); partner with Sales Planning to validate overrides against consumption truth. • Escalate chronic MAPE/bias issues to relevant stakeholders and adjust forward forecasts to reflect learnings. • Key contributor to the Demand S&OP process — prepare reports, insights, and forecast summaries for cross-functional review. • Serve as the Forecast Analyst gate in the Demand Review approval workflow, alongside planning leads and Executive S&OP sign-off. • Document forecast drivers, changes, and exceptions in support of a transparent, auditable consensus demand plan. • Contribute to monthly forecast accuracy reviews, providing insights and recommended improvements. • Serve as the primary administrator and governance owner of the demand planning software (Vividly / Atomic) — the single source of truth for all forecasts. • Maintain and validate data flows between Vividly, NetSuite, Atomic, Syndicated data partners, Alloy, and warehouse/3PL systems; ensure master data consistency across items, customers, distribution, and promo tags. • Identify and resolve data quality issues that could degrade forecast integrity; document and communicate data limitations to stakeholders. • Update and maintain all BAT documentation on a weekly cadence, including but not limited to the Allocation Tracker and Bridge Projection. Ensure documentation remains accurate and accessible to stakeholders.

• Monitor predefined international and European media sources, including digital and social media channels • Identify, assess, and filter “hot” or high-impact news relevant to EU institutions and public affairs • Select and forward the most relevant content to senior-level stakeholders in a clear and timely manner • Ensure accuracy, neutrality, and consistency in information shared • Stay continuously informed about international developments, EU policy areas, and geopolitical events • Work in shifts, including weekends, to ensure continuous media coverage

Role Description Analyzing requirements and transforming business needs into clear and actionable requirements, working on large and complex projects, and supporting decision-making. Key Responsibilities - Gather and analyze business requirements from stakeholders. - Document functional and technical requirements (BRD / FRD). - Act as a liaison between business and technical teams. - Analyze current processes and propose improvements. - Support development teams during implementation and ensure alignment with requirements. - Contribute to preparing reports and performance indicators. Qualifications - Minimum of 5 years of experience in business analysis. - Experience working on large and complex projects. - Proficiency in documentation and analysis tools. - Good understanding of system and technical project life cycles. - Strong communication and stakeholder management skills. - Ability to analyze data and make data-driven decisions.