You don’t need to be a data expert on day one, but you do need to be someone who pays attention. In this position, small details matter more than people expect. You’ll often notice issues others overlook—duplicate entries, odd patterns, or responses that don’t quite line up. Being comfortable using spreadsheets is useful, but the real value comes from how you interpret what you’re seeing and how clearly you can explain it to others.

Most days follow a loose rhythm rather than a strict routine. You might start by checking incoming responses, just to make sure everything is flowing properly. After that, the focus usually shifts to organizing data—cleaning it up, sorting it, or making it easier to review. Some days involve more independent work, while others include quick discussions with team members to clarify what needs to be done next. It’s steady work, but rarely repetitive in a boring way.

Not always. Many people step into this role without a formal research background. What tends to matter more is whether you’re comfortable working with structured information and whether you can stay consistent with your work. If you’ve handled data before—even in a basic way—you can usually build the rest of the skills over time.

It’s the foundation of the entire role. If the data is off, everything built on top of it becomes unreliable. That’s why a lot of your time goes into checking, fixing, and refining information before anyone else uses it. It may seem like quiet work, but it directly affects how confident teams feel about the decisions they’re making.

You’ll mainly work with tools that help collect and organize responses. Survey platforms like Google Forms or SurveyMonkey are commonly used to gather data, while Excel or Google Sheets are where most of the actual work happens. You’ll spend time sorting, filtering, and reviewing responses, and occasionally putting together simple summaries so others can quickly understand the key takeaways.