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. This position builds functional capability through best practice implementation or process development to ensure that a&ds has significant impact on business decisions; drives appropriate application of analytical capability to address business issues; builds strong and business and cross-functional relationships through succinct communication and influenceability; and be a direct voice in business decisions or application of insights.
what will you do?
business impact & analytical leadership:
* 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.
technical expertise & data fluency:
* 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.
* contribute to capability building across a&ds through process improvements and knowledge sharing.
communication, influence & collaboration:
* 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.
what will you need to be successful?
* 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.
* 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.