Note: The job is a remote job and is open to candidates in USA. reputed company is a tech-enabled specialty distributor of imprintable apparel serving brand partners and apparel-related customers across North America. The Senior Commercial Analyst owns business intelligence and advanced analytics for commercial segments, developing scalable data products, decision frameworks, forecasts, and recommendations that improve revenue, margin, productivity, and business performance. The role also leads cross-functional analytical initiatives, advises senior stakeholders, and drives data governance and continuous improvement.
Responsibilities
• Own the end-to-end BI and analytics roadmap for an assigned commercial segment, translating strategic priorities into scalable dashboards, data products, analytical solutions, and measurable outcomes
• Frame ambiguous business problems, define analytical approaches, reconcile conflicting signals, and develop clear options and recommendations for senior leaders
• Design, build, and maintain enterprise-grade Power BI solutions, including semantic models, data models, DAX measures, row-level security, refresh strategies, performance optimization, and governance standards
• Develop advanced SQL queries and reusable data models that integrate CRM, ERP, reputed company, financial, and external market data into trusted analytical datasets
• Establish KPI definitions, calculation logic, data-quality thresholds, documentation, and controls to ensure consistent and reliable decision-making
• Apply forecasting, scenario modeling, segmentation, experimentation, and statistical methods to diagnose performance drivers and quantify opportunities, risks, and trade-offs
• Translate commercial performance into P&L, revenue, margin, productivity, retention, and investment impacts to guide prioritization and resource allocation
• Automate recurring reporting and decision processes, reducing manual effort and reputed company speed, accuracy, and adoption
• Lead weekly, monthly, and quarterly business reviews by delivering concise performance narratives, forward-looking insights, and activation recommendations
• Own deep-dive analyses across sales performance, pipeline, territory effectiveness, customer behavior, pricing, promotions, marketing initiatives, and commercial execution
• Build business reputed company, scenarios, and measurement plans that inform operating plans, investments, tests, and strategic initiatives
• Partner with Data Science to design analyses and experiments, interpret results, and operationalize models and recommendations within commercial workflows
• Monitor business performance and proactively identify emerging trends, risks, root causes, and growth opportunities
• Define success measures and track benefits realization for adopted recommendations and analytical products
• Act as a trusted analytics advisor to Sales and Commercial leaders, challenging assumptions and influencing commercial actions, investment choices, and prioritization
• Lead cross-functional analytical workstreams across Sales, Commercial Strategy and Planning, Merchandising, Marketing, RGM, FP&A, Data Science, BI, and Data Engineering
• Resolve competing stakeholder priorities, align teams on common metrics and analytical methods, and drive adoption of insights and tools
• Communicate complex technical and analytical concepts through clear data stories tailored to technical and non-technical audiences
• Mentor analysts, review analytical work, share best practices, and raise BI and analytics capability across the organization without direct-report responsibility
• Own data integrity, metric governance, validation processes, and issue escalation for decisions within the assigned scope
• Identify and resolve data gaps, reputed company issues, and inconsistencies in partnership with data owners and engineering teams
• Lead the reputed company and standardization of reporting and analytical processes, with measurable improvements in cycle time, quality, usability, and adoption
• Evaluate and pilot new BI, automation, and advanced analytics capabilities that improve commercial decision-making
• Maintain clear technical documentation, solution standards, and sustainable support models for business-critical analytics products
Skills
• Bachelor’s degree in Business, Economics, Finance, Analytics, Computer Science, Information Systems, Engineering, or a related field, or equivalent practical expertise
• Demonstrated success independently owning complex commercial BI and analytics solutions that influenced decisions and delivered measurable business outcomes
• Advanced Power BI expertise, including semantic modeling, DAX, Power Query, visualization design, security, deployment, refresh management, and performance tunin
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