266 Data Insights Analyst jobs in the United Kingdom

AI & Data Insights Analyst – London

Fund Size:  €90M USD 

Location:  Bali, Indonesia (with global impact) 

Focus:  Future-builders, meaningful innovation 

Start:  ASAP 

Important Note:  This is an unpaid internship. We don't cover accommodation, food, visa, or flights. What do we offer? The chance to build skills that don't exist in textbooks, work on projects that matter, and live like the future leader you're meant to be. 

What You'll Do:  Build AI systems that can find hidden patterns in massive datasets and transform raw information into strategic insights that drive critical business decisions. You'll develop machine learning algorithms that can analyze complex, multidimensional data to identify trends, correlations, and anomalies that human analysts might miss, while creating predictive models that can forecast future outcomes with high accuracy. Your work involves building automated insight generation systems that can continuously monitor data streams and alert stakeholders to important changes, developing natural language generation tools that can explain complex analytical findings in clear, actionable terms, and creating interactive visualization platforms that make data exploration intuitive and powerful. Additionally, you'll architect real-time analytics systems that can process streaming data and provide immediate insights, build AI-powered hypothesis testing frameworks that can validate or challenge business assumptions, and develop recommendation engines that can suggest optimal strategies based on data analysis. 

Why It's Cool:  Data is the new oil, and you're building the most advanced refineries to extract maximum value from information. The AI systems you create will help organizations see patterns and opportunities that were previously invisible, turning data into competitive advantages and strategic insights. This is detective work for the digital age, where you'll be developing technologies that can understand complex relationships in data and translate them into actionable intelligence. Your work will influence how organizations make critical decisions, and you'll be creating the foundation for a more data-driven world where insights drive better outcomes. 

Bali Option:  Uncover global data insights from your island base, where the clarity of tropical skies mirrors the clarity of insights you'll extract from complex datasets. Mine datasets with a tropical focus, share breakthrough discoveries with your analytics crew over beachside dinners, and find inspiration for your algorithms in the natural patterns and relationships you observe in island ecosystems. Attend data science workshops with ocean views, network with analytics professionals from around the world, and experience how the right environment can enhance both analytical thinking and creative problem-solving.

• Assist in the collection, organisation, and cleaning of marketing data from various sources.
• Perform basic data analysis to identify trends, patterns, and insights related to campaign performance and customer behaviour.
• Generate reports and visualisations to communicate findings to the marketing team.
• Support senior analysts in developing dashboards and performance metrics.
• Help to identify opportunities for data-driven improvements in marketing strategies.
• Learn and apply various data analysis and visualisation tools (e.g., Excel, SQL, Tableau basics).
• Participate in team meetings and contribute to project discussions.
• Assist in ad-hoc data requests and analyses as needed.
• Contribute to maintaining data integrity and accuracy.
• Follow established data analysis procedures and best practices.

• Recent graduate with a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Marketing Analytics, or a related discipline.
• Strong foundational understanding of data analysis principles and techniques.
• Proficiency in Microsoft Excel (pivot tables, vlookups, data manipulation).
• Familiarity with SQL for data querying is a plus.
• An interest in marketing and a desire to learn data analytics within this context.
• Strong attention to detail and accuracy.
• Good communication skills, both written and verbal.
• Ability to work collaboratively in a team environment.
• Eagerness to learn and develop new skills.
• Previous internship experience in data analysis or marketing is advantageous.

• Collecting data from various marketing channels, including website analytics, social media platforms, and CRM systems.
• Cleaning and transforming raw data to ensure accuracy and consistency.
• Performing exploratory data analysis to identify key trends, patterns, and anomalies.
• Developing and maintaining dashboards and reports to track marketing KPIs and campaign performance.
• Interpreting data and providing clear, actionable insights to the marketing team.
• Assisting in the design and analysis of A/B tests and marketing experiments.
• Utilizing SQL for data extraction and manipulation.
• Creating data visualizations using tools such as Tableau, Power BI, or similar.
• Collaborating with team members through virtual meetings and communication platforms.
• Staying up-to-date with the latest data analysis techniques and marketing trends.
• Documenting data processes and methodologies.

• Assist in the collection, cleaning, and organization of data from various sources.
• Perform basic data analysis to identify trends and patterns.
• Develop and maintain reports and dashboards to track key metrics.
• Support senior analysts in ad-hoc analytical requests and projects.
• Contribute to the preparation of presentations for stakeholders.
• Learn and apply various data analysis techniques and tools.
• Ensure data accuracy and integrity.
• Collaborate with team members on shared projects.

• Currently pursuing or recently completed a degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Business Analytics).
• Proficiency in Microsoft Excel.
• Basic understanding of database concepts and SQL is advantageous.
• Strong analytical and problem-solving skills.
• Good communication and interpersonal skills.
• Ability to work effectively in a hybrid environment.
• Enthusiasm for data and a willingness to learn.

• Collect, clean, and analyze large, complex datasets from various marketing channels (e.g., digital advertising, social media, email, SEO).
• Develop and maintain dashboards and reports to track key marketing KPIs and campaign performance.
• Identify trends, patterns, and insights within marketing data to inform strategic decision-making.
• Conduct A/B testing and other experiments to measure the effectiveness of marketing initiatives.
• Build predictive models to forecast campaign performance and customer behavior.
• Collaborate with marketing managers and stakeholders to understand their data needs and provide tailored analytical support.
• Communicate complex analytical findings and recommendations in a clear, concise, and actionable manner to both technical and non-technical audiences.
• Contribute to the development of data governance standards and best practices.
• Stay up-to-date with the latest advancements in data analysis techniques, tools, and technologies.
• Mentor junior analysts and foster a data-driven culture within the marketing department.

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Marketing Analytics, or a related quantitative field.
• Minimum of 5 years of experience as a Data Analyst, with a focus on marketing analytics or customer insights.
• Proficiency in SQL for data extraction and manipulation.
• Strong experience with data visualization tools such as Tableau, Power BI, or Looker.
• Advanced knowledge of statistical analysis techniques and methodologies.
• Experience with programming languages commonly used in data analysis, such as Python or R.
• Familiarity with digital marketing platforms (e.g., Google Analytics, Google Ads, Facebook Ads Manager) and their data.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Ability to work independently and manage multiple projects effectively in a remote setting.

• Collect, clean, and organize marketing data from diverse sources.
• Perform statistical analysis to identify trends, patterns, and key performance indicators (KPIs).
• Develop and maintain regular performance reports and dashboards.
• Assist in the design and analysis of A/B tests and other marketing experiments.
• Interpret data to provide actionable insights and recommendations to marketing teams.
• Collaborate with cross-functional teams to understand data needs and deliver solutions.
• Ensure data accuracy and integrity throughout all analytical processes.
• Stay updated with the latest trends and tools in data analysis and marketing analytics.
• Present findings to team members and stakeholders in a clear and concise manner.
• Contribute to ad-hoc data requests and analytical projects as needed.

• Recent graduate with a degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Proficiency in data analysis tools such as Excel, SQL, and Python/R (preferred).
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Strong understanding of statistical concepts and methods.
• Excellent analytical and problem-solving abilities.
• Good written and verbal communication skills.
• Ability to work independently and manage time effectively in a remote setting.

• Collect, process, and analyse high-volume sports performance data.
• Develop and implement statistical models to identify key performance indicators (KPIs).
• Create advanced data visualisations and dashboards for stakeholders.
• Provide actionable insights and recommendations to coaches and athletes.
• Collaborate with sports science and coaching staff to define data requirements.
• Maintain and manage performance databases and analytical tools.
• Prepare comprehensive performance reports for various audiences.
• Stay abreast of the latest trends and technologies in sports analytics.

• Bachelor's or Master's degree in Sports Science, Data Science, Statistics, or a related quantitative field.
• Minimum of 5 years of experience in sports performance analysis or a related analytical role.
• Proficiency in data analysis software (e.g., R, Python, SPSS) and visualisation tools (e.g., Tableau).
• Strong understanding of sports science principles and performance metrics.
• Experience with athlete tracking systems and physiological monitoring devices.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and manage projects effectively in a remote setting.
• Experience with biomechanical analysis and video analysis software is a plus.