Responsibilities

• Apply standard analytics approaches, methodologies, and skill sets to the organization’s highest-impact and most complex business domains, ensuring work is consistent, trusted, repeatable, and aligned to enterprise analytics standards.
• Develop deep understanding of assigned business domain priorities, operating models, decision processes, data needs, performance drivers, and pain points in order to become a trusted analytics partner.
• Partner with business stakeholders to clarify goals, frame complex business problems, identify analytical opportunities, and determine how analytics can improve decisions, outcomes, and execution.
• Explain what happened and why by identifying performance drivers, customer or operational behavior changes, root causes, trends, patterns, relationships, and business implications.
• Translate business questions into analytical approaches, statistical or predictive models, confidence measures, and actionable insights that help stakeholders achieve goals and solve complex problems.
• Quantify business impact, validate data quality, assess analytical confidence, and communicate the credibility, assumptions, limitations, and recommended use of analytical findings.
• Work with common enterprise analytics tools, data platforms, reporting solutions, and development practices to promote consistency across certified analytics delivery and embedded analytics teams.
• Partner with Planning & Analysis, business leaders, and functional teams to maintain clear role boundaries and handoffs: Certified Analytics provides trusted facts, insight, measurement, and models; business and P&A partners convert those insights into decisions, forecasts, plans, and execution.
• Stay educated on emerging analytics technologies, tools, methods, and industry practices; assess how new capabilities may improve analytical quality, speed, automation, adoption, or business impact.
• Lead more junior analysts through new methodologies, analytical approaches, tool usage, documentation practices, quality standards, and business problem-solving techniques.

Requirements

• Bachelor’s degree in Analytics, Business, Information Systems, Finance, Statistics, Data Science, Computer Science, or related field preferred.
• Minimum five years of experience in analytics, business intelligence, reporting, data strategy, data governance, or related analytical function.
• Experience leading complex analytics projects, partnering with business stakeholders, gathering requirements, validating results, and translating insights into recommendations.
• Retail, convenience, foodservice, consumer products, finance, merchandising, operations, marketing, or customer analytics experience preferred.

Preferred

• Bachelor’s degree in Analytics, Business, Information Systems, Finance, Statistics, Data Science, Computer Science, or related field preferred.
• Retail, convenience, foodservice, consumer products, finance, merchandising, operations, marketing, or customer analytics experience preferred.
• Experience contributing to analytics learning programs, analyst certification paths, dashboard standards, data literacy programs, or communities of practice preferred.
• Knowledge of modern analytics operating models, embedded analytics teams, governed self-service analytics, data governance, certified reporting, and enterprise KPI management preferred.