Full-Time Client Director - Retail Analytics

Lead a team identifying and crafting business solutions collaborating with Commercial Retail teams.

Deliver value to clients through NIQ’s merchandising analytics product solutions.

Typical client engagements involve leading meetings to scope creative solutions, manage project completion, and deliver insightful analysis through storytelling.

Bridge the language gap between clients, sales, client service, and technical aspects.

Responsibilities include: leading a high-performing team delivering solutions and creating integrated analyses supporting client strategic initiatives.

Present analyses to senior-level client contacts, providing actionable insights and recommendations.

Provide subject matter expertise on products and merchandising analytics to clients regarding Pricing, Promotion, Assortment.

Lead a bespoke Data Science team delivering innovative analyses to unique client problems.

Maintain and build productive business relationships with key client contacts.

Collaborate with NIQ Retail Analytics teams (Sales, Implementation, & Operations) to develop existing tools and identify revenue opportunities.

Manage renewal processes, upselling, and cross-selling for your client portfolio (P&L management, agreement drafting, negotiations, selling).

Requirements: 8+ years' experience in Consumer-Packaged Goods (CPG), CPG Retail, or market research.

2+ years' experience directly managing, mentoring, and leading associates.

Strong analytic aptitude applying analytics products to CPG/CPG Retail issues.

Successfully manage end-to-end projects (design to delivery).

Excellent written and verbal communication skills with impactful client presentation ability.

Proven ability to build strong working relationships with internal and external stakeholders (VP level and above).

Influencing and collaborating with cross-functional teams.

Strong sense of urgency and accountability driving client outcomes managing multiple priorities.

BA/BS required, Master's preferred.

Preferred background in Math, Statistics, Economics, Finance, or Computer Science.

Expert proficiency in base price optimization, promotional planning, promotional effectiveness, markdown optimization, assortment & space optimization, supply-chain, demand forecasting, geospatial analytics, A/B testing, planogram analytics, personalization and customer loyalty analytics.

Experience in database analytics, SQL, Databricks, Python is preferred.

Intermediate proficiency in financial & contract management is preferred.

Compensation: $110,000 - $148,000 (market-competitive salary).

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