Data Analyst

Who we are

Participant recruiting infrastructure for the research industry.

We’re building the best research panel in the world - join us! Since our founder recruited the first participants to the panel on the NYC subway, we’ve built a panel of more than 3m participants across 150 countries - making Respondent the industry’s most diverse participant panel. Right now the research industry is going through an enormous change, and we’re at the forefront of it. As AI makes it easier to run high-quality research with 1,000s of participants at once (instead of 10s), we’re seeing demand for our participants grow at lightning speed. Our customers include Microsoft, Dropbox, P&G, and 500 others, and we fuel the research industry with high-quality participants via an integration with software partners including Maze, Rally, and Great Question.

About the role

Respondent, a fast-growing startup, is looking for a Data Analyst to help drive business growth through data and insights. In this role, you'll work closely with teams across marketing, product, and operations to uncover insights that inform key decisions and accelerate our success. This is an exciting opportunity to make a direct impact in a dynamic and fast-paced environment. As a Data Analyst, you’ll analyse performance metrics, user behaviour, and market trends, using your expertise to deliver actionable insights that shape our strategy. We’re looking for someone skilled in tools like SQL, Excel, and data visualization platforms, who is eager to help us grow by turning data into meaningful strategies. If you're detail-oriented, curious, and passionate about driving change, this is your chance to join a startup that values data-driven decision-making. Help us unlock our full potential and make a real difference!

What you’ll be responsible for

📶Data Analysis and Reporting

Analyse data to discover and communicate insights, and offer concrete recommendations for key stakeholders to make critical decisions.

📊Data Management and Visualisation

Create and maintain the organisation’s Business Intelligence tools, and present complex data in simple, visual ways for key stakeholders.

𝌭 Predictive Modelling

Build and validate statistical and mathematical models to predict likely outcomes.

💎 Insights Presentation

Organise and present data to effectively communicate findings.

Skills you'll need

💭 Critical thinking

Identifies and synthesises patterns and trends amongst various sources of information to reach a meaningful conclusion, perspective or insight.

🧮 Numerical problem solving

Works with numerical information and performs mathematical calculations to solve problems.

📊 Results orientation

Focuses on outcomes and the steps it takes to achieve them.

✅ Prioritisation

Compares and ranks the relative importance &/or urgency of different tasks to identify the best order of actions.