As an Advanced Quantitative Research Analyst II for Own Brand, you’ll work cross-functionally with the Own Brand (private label) and Merchant organization to design, execute, and analyze quantitative consumer research studies that inform brand, product, and design of our world-class private label product portfolio. You will contribute to project scoping, survey design, statistical analysis and quant-based reporting.

Successful analysts in this role understand the power of qual and quant working together to inform a customer centric development process. They are proficient at all phases of the research process, possess strong project management skills, and thrive in a high energy cross-functional work environment. They are effective and influential communicators, naturally curious, and have a knack for quickly building trusted relationships with stakeholders.

Do you have a: HEART FOR PEOPLE... willing to work with others to quantitatively capture the voice of Texas families? HEAD FOR BUSINESS... know how to use statistics and analysis to answer complex business questions? PASSION FOR RESULTS... initiative? willingness to take risks and learn every day?

Who are we looking for?- Bachelor's degree in a related field such as Market Research, Marketing Analytics, Statistics, or related field; master's degree a plus - 2+ years of experience in quantitative research, preferably in a retail, CPG or other consumer-facing industry- 2+ years of experience using statistical software (e.g., R, SPSS, SAS, Python)

- Experience working with a range of stakeholders (strategy, brand, marketing, design creatives, product development, merchant, etc.)

- Regular exposure to or first-hand experience with qualitative research / mixed methodologies

What is the work?

- Collaborates on the design / execution of primary consumer research, including, but not limited to, surveys informing product development, brand development, positioning / assortment / attribute strategy and optimization, pricing sensitivity studies, monadic testing, max diff and conjoint analysis, etc.- Participates in activation meetings to help identify research objectives, goals, methodologies, timelines, and potential implications of findings

- Collaborates with analysts in planning, writing, designing, and programming quantitative research questionnaires; ensures survey functionality, question integrity and data accuracy- Executes day-to-day analysis and interpretation of trends or patterns in complex structured and unstructured data sets, with some direction

- Creates and presents research reports that provide a clear, comprehensive, motivating, and actionable data story

- Communicates the research process and results to other analysts and business stakeholders

- Collaborates with Qualitative counterparts on any multi-phased / mixed methodology research initiatives

- Participates in cross-functional strategy meetings, acting as the Voice of the Customer throughout the product development process and influencing customer led decision making

- Will assist or lead qualitative Brand Strategy and Design research initiatives, as needed

What is your background?- Bachelor's degree in a related field such as Market Research, Marketing Analytics, Statistics, or related field; master's degree a plus - 2+ years of experience in quantitative research, preferably in a retail, CPG or other consumer-facing industry- 2+ years of experience using statistical software (e.g., R, SPSS, SAS, Python)

- Experience working with a range of stakeholders (strategy, brand, marketing, design creatives, product development, merchant, etc.)

- Regular exposure to or first-hand experience with qualitative research / mixed methodologies

Do you have what it takes to be a fit as an H-E-B Advanced Quantitative Brand Insights Analyst II?

- Strong foundation in consumer primary research methods, including survey design, experimental design, sampling methodologies and other advanced survey methods

- Experience with Sawtooth Software, Qualtrics, or other survey tools is a plus

- Proficiency in MS Office; strong Excel skills

- Strong Data Visualization skills

- Familiarity with data analytics language and its associated tools such as R, SAS, Python is a plus- Ability to identify problems, gather / interpret data, identify trends, and provide relevant, actionable results

- Ability to analyze and interpret both structured and unstructured data to provide a comprehensive understanding of the information

- Ability to query and organize large data - Ability to explain technical information to a broad range of audiences - Strong analytical and project management skills - Strong organization and time management skills

- Ability to manage multiple priorities and shift focus between tasks

- Ability to adapt in a high-energy and dynamic teamwork environment - Strong written / verbal communication and presentation skills - Takes initiative and is a resourceful self-starter

- Interpersonal skills to work effectively with analysts across research disciplines

-Ability to quickly build trusted relationships with stakeholders, leaders, and colleagues

- Ability to influence different audiencesCan you... - Function in a fast-paced, retail, office environment - Travel by car or plane with overnight stays - Sit for extended periods of time - Work extended hours