Senior Data Analyst

Contract Data Analyst - Specialist in Behavioural & Statistical Analytics Location: Hybrid - Reading & London Day Rate: £450-£500 Outside IR35 Contract Length: 3-6 Months Start: ASAP A leading research and data-driven organisation is looking for a Specialist Data Analyst to join their behavioural insights function. This is not a junior or generalist role - they are seeking someone with deep, hands-on expertise in statistical analysis and behavioural analytics to support large-scale, human-centred research work. You'll play a pivotal role in uncovering complex patterns in behavioural data and translating them into meaningful insight. Key Responsibilities • Lead sophisticated statistical analysis of large behavioural and marketing datasets (e.g. regression modelling, clustering, distributions). • Apply behavioural analytics frameworks to identify, explain, and visualise user trends and profile patterns. • Use Python and SQL to automate analysis, build tools, and process complex datasets. • Support research teams with data validation, insight generation, and hypothesis testing. • Collaborate through in-person whiteboarding and analysis sessions in Reading and London. Essential Expertise • Specialist-level experience in applied statistics - including modelling, probability, and advanced quantitative techniques. • Proven background in behavioural data analysis - particularly in survey, profiling, or human-interaction datasets. • Strong command of SQL and Python for data analysis, scripting, and automation. • Ability to work with large and unstructured datasets in exploratory environments. • Research background (academic or applied) is a strong advantage. Ideal Candidate • Highly analytical, with a strong sense of curiosity and behavioural understanding. • Research-minded, with a track record of uncovering patterns and turning them into actionable insights. • Communicates clearly and directly - straight-talking, no ego, solution-oriented. • Experience navigating ambiguity and independently identifying meaningful signals in complex data. Interview Process • Stage 1: Interview with hiring lead - focused on technical depth and communication approach. • Stage 2: Interview with the wider team - discussing statistical projects, behavioural insight examples, and exploratory problem-solving. Desired Skills and Experience Skills & Experience Specialist-level statistical analysis (regression, clustering, distributions) Behavioural data analysis and user profiling SQL for data extraction and manipulation Python for data analysis and automation Working with large and unstructured datasets Research or survey-based data experience (academic or commercial) Exploratory data analysis and insight generation Pattern detection and anomaly identification Hypothesis testing and statistical validation Clear, direct communication in analytical settings