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Experiential learning program introducing students to market research and analytics. Participants receive scholarships, technical training, mentorship, professional development, and experience using consumer data to solve real-world business challenges. They will translate data into actionable client insights and present a final case study. The program is intended for juniors graduating between 2027 and 2029 who are interested in insights, data analytics, paid media, market research, CPG, or retail.

Owns revenue, renewals, supplier participation, and growth for Circana’s multi-million-dollar Best Buy Retail Gateway portfolio. Builds and scales the go-to-market model, leads complex consultative sales cycles, develops senior client relationships, and translates retail, shopper, loyalty, and market data into actionable recommendations. The role mobilizes cross-functional teams, configures Circana platforms, applies AI to improve commercial impact, and coaches client insights and commercial partners.

Manage strategic client portfolios, build senior stakeholder relationships, create joint business plans, expand client engagement, support renewals, and deliver actionable insights that drive commercial outcomes. The role requires strong knowledge of New Zealand retail and FMCG markets, analytical and storytelling skills, client-ready presentations, and the ability to translate consumer and retail data into recommendations.

Support Coles through data analysis, statistical interpretation, market insights, quantitative modeling, projections, and reporting. The role involves mining complex datasets, validating data quality, explaining scan and panel data reliability, identifying trends, and delivering commercial recommendations. It also requires client engagement, stakeholder relationship management, expectation setting, and collaboration on broader retail initiatives.

Design and develop a massively parallel distributed database engine using modern C++. Responsibilities include database kernel architecture, MPP query execution, SIMD and hardware optimization, low-latency networking, concurrency, vector indexing, in-database machine learning, and performance tuning at terabyte-to-petabyte scale. The role also involves architecture and code reviews, cross-functional collaboration, technical mentoring, and resolving complex scalability issues.

Leads data engineering teams and architects scalable cloud data warehouse solutions. Oversees PySpark, Python, and SQL ETL/ELT pipelines, Spark optimization, internal data tools, governance, quality, lineage, CI/CD, and Agile delivery. Collaborates with business, analytics, product, QA, and operations teams while managing vendors and mentoring senior engineers and technical leads.

Own revenue growth for Circana’s Commerce business across retail media networks, commerce platforms, and strategic partners. Build executive relationships, account growth plans, pipelines, and consultative sales opportunities from discovery through negotiation, close, renewal, and expansion. Translate measurement, data, analytics, audience, and technology capabilities into client value propositions. Maintain forecasts, coordinate cross-functional teams, develop executive-ready proposals, and scale repeatable commercial approaches. This is a senior individual-contributor role without direct people management.

Drive client growth for Circana’s Foodservice team by selling data and software solutions, managing end-to-end sales cycles, translating POS and consumer data into actionable insights, building stakeholder relationships, meeting revenue targets, and collaborating with analytics, product, and client insights teams.

Leads Circana’s India HR strategy and HRBP team, partnering with senior leaders on workforce planning, succession, talent, organizational design, change management, employee engagement, culture, employee relations, compliance, and leadership development. The role drives organizational effectiveness, supports business transformation and growth, ensures compliance with Indian employment legislation and Labour Codes, and builds a high-performing, inclusive workforce across a multinational matrix organization.

Monitors sample and data quality to ensure reliable, representative measurement data. Prepares and validates weighting, projection, and segmentation information; analyzes data from multiple sources to investigate quality and production issues. Uses SQL, Python, Excel, automation, and AI-assisted tools to improve workflows. Collaborates with measurement science, data science, technology, and operations teams on process improvements and automation initiatives.