10 of 10 Contract Statistical Analysis Jobs in the UK

new role As a Business Intelligence Data Analyst, you will transform raw data into actionable insights to inform business decisions and monitor performance. You will lead the full data analysis lifecycle, from requirements analysis and data modelling to designing reusable metrics and front-end report development.A crucial part of your role is ensuring that key metrics and findings … Oversee and improve existing business insights reports, ensuring data accuracy and integrity. Design and build reports, dashboards, and analytical solutions using SQL, Power BI, and other tools. Perform advanced statistical analysis and interpret trends in large datasets. Extract and prepare data for regulatory submissions and external reporting. Provide expert guidance on data queries and support ad-hoc reporting … or DataBricks is preferred. Expertise in T-SQL to write complex queries and stored procedures. Understanding of database optimisation, data mining, auditing, and segmentation. Skilled in data visualisation and statistical techniques such as linear regression. Ability to conduct user acceptance testing and ensure data integrity. Confidence to challenge existing processes and recommend improvements. Effective communication skills and the ability More ❯

Skills Strong SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI tools (e.g., Looker, Power BI, Tableau). Solid More ❯

Senior Marketing Data Analyst Role: Senior Marketing Data Analyst Specialism(s): MMM (Marketing Mix Models), Experimentation, Geo-Testing, A/B Testing, SQL, Data Warehouse, Snowflake, Python/R, Statistical Analysis, Stakeholder Engagement, Communication, Presentation Skills Type: Contract, Inside IR35 Location: London (Hybrid) Start: ASAP/Urgent Duration: 6+ Months Pay Rate: £500+ per day (Market Rates) Senior … Experience * Demonstrable experience working as a Data Scientist, Data Analyst or Marketing Data Analyst * Highly proficient in SQL * Exposure to Data Warehousing technologies (e.g. Snowflake) * Excellent technical proficiency in statistical analysis tools - Python and/or R * Proven experience and strong knowledge of regression analysis including MMM and A/B Testing * Strong verbal and written communication More ❯

Senior Marketing Data AnalystRole: Senior Marketing Data AnalystSpecialism(s): MMM (Marketing Mix Models), Experimentation, Geo-Testing, A/B Testing, SQL, Data Warehouse, Snowflake, Python/R, Statistical Analysis, Stakeholder Engagement, Communication, Presentation SkillsType: Contract, Inside IR35Location: London (Hybrid)Start: ASAP/UrgentDuration: 6+ Months Pay Rate: £500+ per day (Market Rates)Senior Marketing Data AnalystCPS Group UK … Experience* Demonstrable experience working as a Data Scientist, Data Analyst or Marketing Data Analyst* Highly proficient in SQL* Exposure to Data Warehousing technologies (e.g. Snowflake)* Excellent technical proficiency in statistical analysis tools - Python and/or R* Proven experience and strong knowledge of regression analysis including MMM and A/B Testing* Strong verbal and written communication More ❯

Optimize models for speed, accuracy, and efficiency in real-time environments Monitor model performance and implement feedback loops and retraining mechanisms Conduct experiments using A/B testing and statistical analysis to validate approaches Document ML systems and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and … minimum 1 year ) Strong proficiency in Python and popular ML frameworks (e.g., TensorFlow, PyTorch) Experience deploying machine learning models into production environments Solid understanding of data structures , algorithms , and statistical learning Familiarity with cloud platforms (AWS, Azure, or GCP) and ML pipeline orchestration Bonus: Experience with deep learning , NLP , recommendation systems , or computer vision Excellent problem-solving, communication, and More ❯

for collaboration with cross-functional teams Ability to manage time effectively and meet deadlines in a fast-paced environment Experience with data preprocessing and feature engineering techniques Familiarity with statistical analysis and data visualization tools Willingness to learn and adapt to new technologies Key behaviours Strong analytical and problem-solving skills Adaptability to rapidly changing environments Proactive and More ❯

various marketing technology platforms like CRM, DAM, dynamic creative optimization (DCO), GenAI, Deep Learning, CDP, marketing automation tools, email marketing platforms, social media management tools, analytics platforms, etc. Data analysis skills: Proficiency in data manipulation, statistical analysis, and data visualization tools to extract meaningful insights from marketing data. Marketing strategy expertise: Strong understanding of marketing principles, customer More ❯

insights. - Stakeholder Engagement: Communicate effectively across technical and non-technical teams. - Data Engineering: Basic skills in SQL and big data tools (e.g., Athena). - Experimentation: A/B testing, statistical analysis, performance metrics. - Compliance: Knowledge of data privacy (GDPR), PII handling. - Agile Working: Experience in Agile/Scrum teams (Jira, Azure DevOps). Essential Skills & Experience More ❯

technical stakeholders. Experience in cross-functional team. Data Engineering Basics: Familiarity with SQL and big data processing tools (e.g., Amazon Athena). Model Evaluation & Experimentation: A/B testing, statistical analysis, and performance metrics. Security & Compliance Awareness: Understanding of data privacy, PII handling, and compliance standards (e.g., GDPR). Agile Methodologies: Experience working in Agile/Scrum teams More ❯

technical stakeholders. Experience in cross-functional team. Data Engineering Basics: Familiarity with SQL and big data processing tools (e.g., Amazon Athena). Model Evaluation & Experimentation: A/B testing, statistical analysis, and performance metrics. Security & Compliance Awareness: Understanding of data privacy, PII handling, and compliance standards (e.g., GDPR). Agile Methodologies: Experience working in Agile/Scrum teams More ❯