Data & Analytics interviews. Scored the way the field scores.
56 job titles across 5 specialisms. Pick yours to see what interviewers score, the questions they ask, and where candidates lose it, then practise it live.
Last reviewed
Data Analysis
15 titlesData Science
10 titlesBI & Reporting
8 titlesData Engineering
13 titlesActuarial & Statistics
10 titlesWhat interviewers in Data keep scoring
Every title has its own model, but these competencies come up again and again. Each title page shows what a weak, adequate and strong answer looks like for each one.
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.
Interview like a Data hiring manager would.
Thirty minutes, voice to voice, scored against the competencies above. Five minutes of it free.