Market Research Analyst or Sr. Analyst- Consideration
Listed on 2025-12-27
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IT/Tech
Data Scientist, Data Analyst -
Research/Development
Data Scientist
About NRG
NRG is a leading global insights and strategy firm at the confluence of content, culture, and technology. We stay ahead of what’s next, providing fresh insights to spark new ideas. We’re a trusted partner to our clients, working behind the scenes to bring imagination, depth, and clarity to their biggest challenges—in entertainment, technology, lifestyle, sports, and gaming. Together, we create with confidence.
We’re proud of our company’s values – these values guide us as we navigate sunny days, gray skies and everything in between:
- Do what you love. With conviction.
- Where discovery lives. And impact drives.
- Celebrate difference. Cultivate belonging.
- Big thinking. Collectively inspired.
- Embrace the journey. Be human.
At NRG, we’re always on the lookout for sharp, curious, and creative minds who are excited about diving deep into what makes audiences tick—across entertainment, technology, gaming, sports, and beyond.
This posting is for future opportunities across all of our client services teams. We’re always on the hunt for great talent and are excited about the possibility of teaming up in the future. If you’re passionate about qualitative and quantitative research and working with a team that partners with the world’s top brands to shape content, products and strategies that fuel cultural conversations, we want to hear from you!
Below is a snapshot of what a typical Research Analyst or Senior Research Analyst role looks like specifics may shift depending on the hiring needs, but this should give you a sense of what we’re about and what we’re looking for. If you don’t hear back for several weeks, don’t worry – we regularly review general applications but prioritize active openings.
If there is a potential fit when a position opens, we’ll be in touch!
- Support all phases of quantitative and qualitative research projects, including research design, questionnaire and discussion guide development, data analysis and storytelling.
- Projects may include methods such as concept evaluation, brand studies, content optimization tests, messaging/positioning evaluation, creative materials tests, market sizing and segmentation.
- Help drive quality control processes at each step of the research lifecycle, from checking survey programming logic, questionnaire proofing, number checking and proofing reports and presentations for accuracy.
- Partner with internal and external operations teams (programming, fieldwork, facilities, moderators, data processing) to drive projects forward on stringent timelines.
- Assist with translating data into clear, actionable insights and recommendations through visual, creative and story-driven reports.
- Prior Experience – Prior internship or work experience in market research or consumer insights is preferred. If you are a recent graduate but don’t have relevant work experience, we would love to hear about academic qualitative or quantitative research projects, such as primary survey research, experimental psychology studies, social media analysis, ethnographic research, or any other relevant projects.
- Curiosity and Critical Thinking – You are genuinely interested in seeking information on the “whys,” always digging for more information to understand what makes consumers tick. Whether it’s understanding why one marketing message is more effective than another or what consumers think we could be using AI for in the future, you can always find something interesting to sink your teeth into.
Simply put, you love to learn. - Clear and Proactive Communicator – You have excellent written and verbal communication skills and are able to communicate clearly and succinctly. You’re comfortable asking questions and sharing your point of view.
- Data Driven – You’re comfortable working with data to identify trends and insights, including both structured (i.e. data and hard numbers) and unstructured (i.e. interviews and qualitative) data. Experience visualizing data with tools such as Excel, PowerPoint, Google Docs and Slides is preferred.
- Data analysis techniques and software – Familiarity with any of the following data analysis techniques would be awesome:…
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