Tech Stack
AzureCloudETLGoogle Cloud PlatformPythonSQLTableau
About the role
- The Associate Analytics Manager is responsible for enabling business growth through appropriate application of analytic methods, and business and consumer knowledge in the Business Units (BUs); identifying and promoting productive framing of business issues; understanding and applying core Analytics & Data Science (A&DS) approaches to solve business problems; and further driving value through working with the broader A&DS teams in identifying, building, scaling, and embedding advanced analytical capabilities.
- Develop recommendations and implications to guide Business Unit (BU) plans and drive business results
- Promote the adoption of Analytics & Data Science (A&DS) methods that enable faster, smarter decision-making
- Ensure full utilization of consumer, competitive, and category analytics to guide cross-functional strategies with Marketing, Sales, Finance, and PSO
- Apply advanced analytics techniques including: Marketing Mix Modeling (MMM) Test & control analysis (ANCOVA) Multi-Touch Attribution (MTA) Predictive modeling and forecasting Price and promotion simulation Spend optimization and market structure interpretation
- Engage in core business planning processes like Integrated Business Planning and Multi-Year Planning
- Collaborate with A&DS teams to scale analytical capabilities and embed insights into key decision frameworks
- Leverage visualization tools (Power BI, Tableau) to enable insight discovery and storytelling
- Use SQL and Python to access, manage, and analyze data efficiently
- Demonstrate working knowledge of ETL pipelines, cloud platforms (Azure, GCP), and emerging genAI tools
- Interpret complex datasets and synthesize findings into actionable insights for diverse stakeholders
- Communicate complex analytical findings in clear, compelling ways to business and technical audiences
- Influence cross-functional teams through storytelling, data translation, and strategic framing
- Build strong relationships with business partners and serve as a thought leader in the integration of analytics across functions
- Act as a strategic partner to Marketing and BU leadership, aligning analytics with key priorities and opportunities
Requirements
- 2+ years of business experience with a bachelor’s degree, or 1–3+ years with an advanced degree
- Bachelor’s degree in Marketing Analytics, Economics, Statistics, Data Science, or a related quantitative field (Master’s or MBA strongly preferred)
- Preferred background in digital/media analytics, either client- or agency-side
- Proficiency in Microsoft Excel and Office 365 suite; strong data visualization and dashboard-building capabilities
- Use SQL and Python to access, manage, and analyze data efficiently
- Demonstrate working knowledge of ETL pipelines, cloud platforms (Azure, GCP), and emerging genAI tools
- Curious, collaborative, and committed to continuous learning
- Courage to speak up and challenge the status quo with data-driven perspectives
- Comfortable working independently or within a team, across multiple fast-paced projects
- Strong project management and prioritization skills under tight timelines
- Champion an inclusive, insight-led, and results-focused working culture