Audience Research Manager
Kqed Inc - San Francisco, California, United States, 94199![Kqed Inc](/api/image?src=https%3A%2F%2Fgeneral-board-default.s3.us-east-2.amazonaws.com%2Fpublic%2Fimages%2Fdesk-360x180.webp&w=640&q=75&f=webp)
Work at Kqed Inc
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Overview
Read all the information about this opportunity carefully, then use the application button below to send your CV and application.The Audience Research Manager is an integral member of KQED’s Audience Intelligence team, which is tasked with elevating audience needs and behaviors across our media and technology portfolios. The Research Manager will identify, design, and lead mixed-methods research projects to support both existing operations and strategic initiatives, working cross-functionally with product development, content design, marketing, fundraising, and a variety of other teams.
The ideal candidate will have 2-4 years of quantitative and qualitative research experience, a very high degree of analytical and technical aptitude, and an innate curiosity about how people think and why.
This is a hybrid position working two days a week in our San Francisco headquarters. It is largely an independent contributor role with management responsibility over interns.
KQED envisions a public media organization with a culture that centers on human dignity, equity, and belonging. This will enable us to better serve and reflect the Bay Area through diverse and inclusive storytelling.
We value the contributions of marginalized people in society — including Black, Indigenous, and all people of color, people with disabilities, and LGBTQIA+ people — and we believe that these communities must be centered in the work we do, and we strongly encourage members of these communities to apply.KQED Code of Ethics KQED Code of Ethics
The mission that drives us:KQED provides citizens of Northern California with a community-supported alternative to commercial media. We provide citizens with the knowledge they need to make informed decisions; convene community dialogue; bring the arts to everyone and engage audiences to share their stories. We help students and teachers thrive in 21st-century classrooms, and take people of all ages on journeys of exploration- exposing them to new people, places, and ideas.
This role will work hybrid between KQED's newly renovated headquarters and working remotely. KQED requires employees to be fully vaccinated against COVID-19.Salary Information $93,600-$117,000 Annually
Essential FunctionsDesign and lead quantitative, qualitative, and mixed-methods research projects end-to-end: help identify research needs and choose the right methodology, define recruiting targets, write screeners, surveys, and discussion guides, oversee data collection, moderate interviews, analyze transcripts and quantitative data, and produce/present compelling reports.Oversee daily research operations, including managing our internal respondent panel, tracking projects, interfacing with stakeholders, and managing vendors.Manage KQED’s audience research intern to ensure they are assigned engaging research projects, given ample opportunities to meet stakeholders and shadow other team members, and receive skill and career development mentorship.Partner with internal stakeholders to identify, refine, and prioritize research initiatives.Identify and track baseline metrics that reflect our understanding of existing and prospective audience behaviors and needs.Identify and implement new methodologies, technologies, and third-party services to continually improve quality and operational efficiency.Support other departments’ use of self-service research and reporting tools by providing operational guidance, subject matter expertise, and occasionally tech support.Other duties as assigned.Preferred qualificationsExposure to a wide variety of research domains, like concept testing, product research, corporate/GTM strategy, or marketing.Experience conducting in-person research.Proficiency in a programming language (Python, R, JavaScript, or Java preferred) and basic proficiency in SQL.Some basic familiarity with advanced statistical or analytical techniques like time-series/autoregression, causal modeling, hierarchical or ensemble models, or machine learning algorithms.Exposure to qualitative techniques like diaries/discussion boards, or to more esoteric mixed-methods tools like Remesh.Ability to digest relevant scientific or academic literature.Other kinds of demonstrated technical aptitude.Physical DemandsAbility to lift a minimum of fifteen (15) pounds.Ability to exert maximum muscle force to lift, push, pull or carry.Ability to use abdominal and lower back muscles over time without fatigue.Ability to stand and/or sit for extended periods.Ability to bend, stoop, stretch, twist, sit, and reach.Fine motor skills.Good visual and auditory acuity.The physical demands described here represent those that an employee must meet to perform the essential functions of this job successfully.
NOTE: This job description is not intended to be all-inclusive. Employees may be required to perform other related duties as necessary to meet the ongoing needs of this organization.
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