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Supports a commercial analytics product by translating business needs into feature requirements and specifications. Provides data collection, preparation, validation, product support, issue analysis, and recommendations to project teams and customers. Collaborates with Product Managers, Engineers, and QA on feature development, testing, test strategies, and documentation. Tracks requests, requirements, delivery schedules, and OKRs while serving as a subject matter expert on platform data and system dependencies.

Generate and qualify enterprise sales opportunities for marketing analytics, data, and software solutions. Conduct prospect research, cold outreach, lead qualification, networking, discovery conversations, and relationship nurturing with CMOs and marketing leaders. Collaborate with marketing, local leaders, and senior business development colleagues, maintain accurate Salesforce records, and hand qualified opportunities forward through long enterprise sales cycles.

Collects and analyzes consumer, market, and campaign data; develops statistical models predicting behavior and performance; builds insight dashboards and customer presentations; and collaborates with teams to explain findings and support business decisions. The role requires analytical problem-solving, data pipeline and dataset experience, strong communication, and proficiency with Microsoft PowerPoint and Excel.

Develops thought leadership and research content on commercial measurement, growth, and decision-making. Responsibilities include drafting and editing blogs, social posts, reports, whitepapers, and executive presentations; shaping research questions and evidence plans; analyzing survey and proprietary data; creating charts and evidence summaries; synthesizing academic and industry research; and collaborating with senior experts and cross-functional teams.

Lead multiple client engagements involving data collection, statistical and econometric modeling, analytics, presentations, and actionable marketing recommendations. Manage project timelines, client communications, deliverable quality, resources, and revenue objectives. Build senior client relationships, address data and software questions, and coach junior team members. The role is hybrid, requiring at least three days weekly in the North Sydney office.

Lead multiple client engagements involving data collection, statistical and econometric modeling, marketing effectiveness analysis, and presentation of actionable recommendations. Manage project delivery, timelines, communications, resources, and quality while building senior client relationships. Address data and software questions, support revenue targets, and coach junior team members. The role is hybrid, requiring at least three days weekly in the North Sydney office.

Lead a Customer Engagement team delivering marketing analytics and commercial intelligence to major advertisers. Manage client portfolios, drive analytics projects (MMM, attribution, experiments, segmentation, pricing), ensure delivery quality and adoption, grow accounts, hit revenue/profit goals, coach staff, and contribute to business development and internal initiatives.

Collects and analyzes consumer, market, and campaign data; develops predictive statistical models; builds insight dashboards and customer presentations; and collaborates with teams and clients to explain findings, develop narratives, and support business decisions. The role also involves optimizing big-data pipelines, solving business questions with analytics, and communicating recommendations clearly.

Collects and analyzes consumer, market, and campaign data; develops statistical models, dashboards, and customer presentations; and collaborates with teams to explain insights and support business decisions. The role requires analytical problem-solving, data pipeline and dataset experience, strong Excel and PowerPoint skills, and professional English communication. Recent graduates and candidates with 1–3 years of analytics or marketing analytics experience are encouraged to apply.

Collects and analyzes consumer, market, and campaign data; develops statistical models; builds dashboards and presentations; and collaborates with teams and clients to communicate insights, explain results, and support business decisions. The role also involves preparing customer data, optimizing data pipelines and datasets, solving business problems with analytics, and presenting recommendations professionally.