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Nutrabolt · 1 month ago

Consumer Insights Analyst/Manager

Austin, TX

Full-time

Onsite

Mid, Senior Level

3+ years exp

Nutrabolt is a fast-growing, global active health and wellness company focused on performance-oriented brands. They are seeking a Consumer Insights Analyst/Manager to enhance their research and analytics capabilities by executing advanced analyses and providing actionable insights to inform strategic business decisions.

Dietary SupplementsFitnessHealth CareMarketingNutrition

Responsibilities

Lead quantitative projects including brand trackers, segmentation, conjoint, MaxDiff, and pricing studies

Conduct advanced analytics, cross-tabulations, and data visualization using any data processing tools such as SPSS, SQL, R+, IBM Reporter, etc.; design deep-dive analyses to uncover insights beyond top-line reporting

Translate business asks into research designs (research methodology, sample design, screener and questionnaire development)

Write and program surveys on self-service platforms (Suzy, Quantilope, etc.)

Ensure data quality end-to-end, from sampling and fielding through cleaning

Partner with external agencies for more complex studies as needed

Translate research outcomes into clear business recommendations

Provide cross-functional teams and in particular Brand and Innovation teams with actionable insights that inform strategy

Build digestible, best-practice reports in PowerPoint or Word with data visualization tailored to each cross-functional team

Work closely with Category Management (IRI, Numerator) to integrate consumer and sales data

Collaborate with stakeholders to align on research objectives and methodology choices

Manage our consumer insights community panel; develop engagement plans as well as studies, and two-way dialogue to generate insights

Work closely with third-party research providers and self-service platform teams; proactively identifying opportunities to improve data quality

Elevate in-house analytic sophistication; educate teams on quantitative methods and models and consequently opportunities to better leverage data in day-to-day job

Establish consistent processes for running advanced analyses internally