Super
Staff Market Intelligence Researcher

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We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
Traditional market research is built around studies. This role is not.
At Super, we are building an AI-native research function where insight is not delivered in isolated projects, but generated continuously through systems. As a Staff Market Intelligence Researcher, your primary tool is AI—not as a shortcut, but as the infrastructure through which research happens.
You will design and operate research systems that produce high-quality consumer and market intelligence at a speed and scale that traditional agency models cannot match. Where others deliver one study in six weeks, you will deliver multiple validated insights in a fraction of the time—not by working harder, but by working differently.
This is a hands-on, high-impact individual contributor role. You will sit across Marketing Intelligence and Performance & Analytics, connecting consumer understanding directly to commercial outcomes, while building the workflows, tools, and infrastructure that make this possible.
What You’ll Be Doing
Building AI-Native Research Systems
You will move research from one-off studies to continuous intelligence systems.
Design and run AI-moderated qualitative research at scale (e.g. interviews, concept testing, exploratory qual) Build repeatable workflows: survey pipelines, social listening synthesis, competitive monitoring agents Use LLMs to analyse large volumes of unstructured data (app reviews, transcripts, customer feedback) Implement validation frameworks to ensure AI outputs are reliable and decision-ready Optimise every workflow for speed, with most outputs delivered in days—not weeks
Delivering High-Throughput Insight
You will be the primary executor of research—not a coordinator.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Own and triage research requests from across the marketing organisation Deliver insights within a two-week maximum turnaround (often faster for urgent needs) Translate findings into clear, actionable recommendations for marketing teams Run both synthetic-first validation and targeted human research where required
Owning Always-On Consumer & Brand Intelligence
You will build and maintain a live view of the consumer and brand.
Operate a continuous brand intelligence system (pulse surveys, sentiment, social data) Maintain and evolve consumer segmentation frameworks Conduct deep qualitative research for complex or high-stakes questions Build and manage a structured, searchable insights library
Building Automated Competitive Intelligence
You will create a system that continuously monitors the market.
Deploy automated agents to track competitor activity across ads, pricing, hiring, product, and media Synthesize signals into regular, decision-oriented competitive briefings Interpret what competitor activity means—not just what happened
Developing AI Research Infrastructure
You will build the foundation that enables scale.
Own the AI research tool stack: evaluation, integration, and governance Create automated pipelines for intake, sampling, analysis, and delivery Establish best practices for responsible, rigorous AI-assisted research Stay ahead of emerging methodologies (synthetic research, agentic workflows, multimodal analysis)
Connecting Insight to Commercial Impact
You will bridge research with performance.
Partner with analytics to explain performance trends through consumer understanding Feed insight into campaign development—not just post-campaign evaluation Contribute to leadership-level marketing intelligence reporting
What We Are Looking For
6–9 years in consumer insights or market research with strong mixed-methods expertise Proven experience building and running AI-augmented research workflows at scale Track record of operating in high-throughput, fast-paced environments Strong quantitative skills (survey design, sampling, analysis) Solid qualitative expertise (moderation, discussion design, synthesis) Experience with brand tracking or continuous measurement systems Commercial acumen—ability to connect insights to business outcomes Background in fast-moving digital consumer businesses (e.g. gaming, e-commerce, fintech)


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Nice to Have
Experience in gaming, sports betting, or high-LTV consumer sectors Familiarity with tools such as Brandwatch, Klue, Quantilop, Crayon, or similar Experience with AI research platforms (e.g. AI-moderated interviews, qualitative synthesis tools) Exposure to synthetic research methods (AI personas, simulated respondents) Coding experience (Python or R) for automation or analysis Multi-market or international research experience
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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