Analytics & Insights Senior Associate - Customer & Business Intelligence, CX Lab

Join Us!

At Google Operations Center we help Google users and customers solve problems and achieve their goals—all while enjoying a culture focused on improving continuously and being better together. We work hard, we play hard, and we want you to join us!

As an Analytics & Insights Senior Associate in the CX Lab, your responsibilities will be split between the two arms of the Lab: Wave Survey Research and Scaled Qualitative Research. Your work will be instrumental in shaping the satisfaction of advertisers and developing future versions of Google's advertising products and customer experience programs

Position Responsibilities

• Perform descriptive and statistical analysis (e.g., z-tests, ANOVA, etc.) on large quantitative survey datasets using Python, including reviewing weighted data for accuracy and consistency

• Assist in deck and report creation, including data analysis in Python, data entry, formatting, editing, and reviewing content for accuracy, consistency, completeness and quality

• Give insight to dashboard SME when there is a new table to add in the task assigned

• Assist with survey programming in Qualtrics, including programming surveys to align with survey documents created by research leads. Programmed surveys must align with content and quality standards.

• Perform survey testing in Qualtrics, documenting any quality issues and testing for resolution.

• Perform with review of translations delivered by localization vendors, logging any quality issues and reviewing fixes.

Minimum Qualifications

• Bachelor’s degree in business, marketing, social science, or other related field

• Knowledge in a primary research type role with statistical analysis (inferential statistics, including confidence intervals, t-tests, z-tests, ANOVA, correlations, etc.)

• Proven analytical and data analysis skills, preferably in a market research setting (e.g., descriptive statistics and inferential statistics, experience creating charts, understanding of data visualizations, and appropriate applications for each, etc)

• 1+ year experience working with SQL and Python for statistical analysis and/or data pipeline management

• 1+ year experience with SQL or any other similar database management software systems 

• Experience with programming market research online surveys using Qualtrics or any other survey platform

Preferred Qualifications

• Excellent organizational and data visualization skills, and the capability to handle multiple projects and multiple stakeholders.

• Ability to work under pressure with little or no supervision

• Ability to identify process and efficiency improvements

• Ability to use SQL and Python when modifying scripts, create script from scratch and performing data clean up

Benefits

• We support you with competitive wages and with comprehensive health care including medical, dental and vision coverage

• We support your family with gender-neutral baby bonding leave, 18 week birth-parent maternity leave, and generous life, accident and disability insurance minimums

• Employees who work onsite can enjoy free meals and snacks, and fun onsite experiences

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Google Operations Center (GOC) is committed to equal employment opportunities regardless of race, creed, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

To ensure a barrier-free interview, please mention any required assistance or specific arrangements in your application and confirm them with your recruiter.

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Thanks for your interest in this opportunity! Our recruitment team will contact you if your profile is a good fit for the role. If you don't hear from us within 2-3 weeks, please consider your application unsuccessful at this time. We value your patience throughout this time. For any questions, feel free to reach out to us at [email protected].