Data Analysis interviews. 15 titles, each with its own model.
Each page shows the competency model, the questions that test it, what changes with seniority, and where candidates lose the interview.
Last reviewed
Every Data Analysis title
15 titlesWhat the report looks like for Data Analysis
- The situation in one sentence: where, what was short, and by how much.
- The decision that was yours rather than the team’s, and what you chose not to do.
- One number or one consequence that shows it worked.
Every competency is scored out of five with a line you actually said as evidence, and the weakest answers are rewritten as structure and specifics, never a script.
What Data Analysis interviewers keep scoring
Framing the business question
Turns a vague request into a precise, answerable question with a defined metric, population and time window, and checks the question is worth answering before pulling data.
SQL & data wrangling
Extracts, joins, cleans and reshapes data correctly using SQL and a scripting tool, and can spot when a join or filter has silently produced wrong numbers.
Statistical reasoning & avoiding false conclusions
Applies the right level of statistical rigour: distinguishes noise from signal, correlation from causation, and knows when a sample size or comparison is misleading.
Visualisation & data storytelling
Presents findings so a decision-maker grasps the point in seconds: the right chart, a clear headline, honest scales and the recommended action.
Data quality & validation discipline
Checks data before trusting it, documents definitions and caveats, and reconciles numbers against known sources so results are right the first time.
Stakeholder partnership & managing requests
Works with business stakeholders as a partner: manages a queue of requests by value, says no or not yet with reasons, and builds trust that numbers are right.
Ownership of impact & follow-through
Follows analyses through to whether the decision was made and worked, and proactively finds problems in the data or the business rather than waiting for requests.
Research design & method selection
Translates a business or policy question into a research design with the right method (qualitative, quantitative, mixed, desk), sample and instruments, and can defend the choices.
Quantitative analysis & statistics
Analyses survey and market data rigorously: weighting, significance, segmentation and modelling, and avoids over-interpreting small or biased samples.
Qualitative research & insight extraction
Conducts interviews, focus groups or ethnography that surface real motivations, and synthesises findings into themes without cherry-picking quotes.
Market sizing & competitive intelligence
Builds defensible market estimates and competitive analyses from secondary sources, triangulation and expert input, stating assumptions and confidence explicitly.
Turning findings into actionable insight
Presents research as a clear story with implications and recommendations for the decision-maker, not a data dump, and handles challenge with evidence.