1,515 Data Analyst jobs in the United Kingdom

• Assist in collecting, cleaning, and processing large datasets.
• Support the creation of reports, dashboards, and visualizations using BI tools.
• Identify trends, patterns, and anomalies in data to support business insights.
• Collaborate with senior analysts on data analysis projects.
• Contribute to data quality assurance and documentation efforts.
• Learn and apply various data analysis and statistical techniques.

• Recent graduate with a degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Basic understanding of SQL and database concepts is desirable.
• Excellent attention to detail and accuracy.
• Strong communication skills and ability to work effectively in a remote team environment.

• Assist in the collection and consolidation of data from various sources.
• Perform data cleaning and validation to ensure accuracy and consistency.
• Conduct exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and generate reports and dashboards using business intelligence tools (e.g., Tableau, Power BI).
• Support the development of data models and analytical frameworks.
• Collaborate with business stakeholders to understand their data requirements.
• Present findings and insights in a clear and concise manner to non-technical audiences.
• Assist in the maintenance and improvement of data quality standards.
• Learn and apply new analytical techniques and tools.
• Contribute to team projects and initiatives.
• Ensure data privacy and security best practices are followed.

• Assist in the collection, cleaning, and processing of large datasets.
• Develop and maintain business intelligence dashboards and reports.
• Perform data analysis to identify trends, patterns, and anomalies.
• Support senior analysts in generating insights and recommendations.
• Conduct statistical analysis and contribute to data modeling efforts.
• Ensure data accuracy and integrity through rigorous testing and validation.
• Collaborate with various departments to understand their data needs.
• Present findings and insights to team members and stakeholders.
• Learn and apply new data analysis techniques and tools.

• Recent graduate with a degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics).
• Strong analytical and problem-solving abilities.
• Proficiency in Microsoft Excel.
• Familiarity with SQL and data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent attention to detail and data accuracy.
• Good communication and presentation skills.
• Eagerness to learn and develop in a data-focused role.
• Ability to work collaboratively in a team environment.

• Assist in data extraction, cleaning, and transformation processes.
• Develop and maintain reports and dashboards using business intelligence tools.
• Analyze data to identify trends, patterns, and insights.
• Support the business intelligence team in ad-hoc data analysis requests.
• Collaborate with stakeholders to understand data requirements.
• Ensure data accuracy and integrity in all reporting.
• Learn and apply new data analysis techniques and tools.
• Contribute to data quality improvement initiatives.
• Prepare documentation for data processes and analyses.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of data analysis principles and methodologies.
• Proficiency in SQL for data querying and manipulation.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Excellent analytical and problem-solving skills.
• High level of accuracy and attention to detail.
• Good communication and interpersonal skills.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and adapt in a fast-paced environment.
• Experience with Python or R for data analysis is a plus.

• Assisting in the collection, cleaning, and validation of data from various sources.
• Performing data analysis to identify trends, patterns, and anomalies.
• Creating clear and concise data visualizations and reports using tools like Tableau, Power BI, or similar.
• Supporting senior analysts in developing dashboards and performance metrics.
• Contributing to the development and maintenance of data models and databases.
• Identifying opportunities for data quality improvements and process automation.
• Communicating findings and insights to non-technical stakeholders through presentations and reports.
• Learning and applying statistical methods and data mining techniques.
• Collaborating effectively with team members in a remote setting, participating in virtual meetings and discussions.
• Staying updated on emerging trends and technologies in data analytics and business intelligence.

• A recent Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Foundational knowledge of data analysis techniques and statistical concepts.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, QlikView).
• Basic proficiency in SQL for data extraction and manipulation.
• Experience with programming languages like Python or R for data analysis is a plus.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills, suitable for remote interaction.
• Ability to work independently, manage tasks, and meet deadlines in a remote work environment.
• A proactive attitude and a willingness to learn and grow.

• Assist in the collection, cleaning, and transformation of data from various sources.
• Perform data analysis to identify trends, patterns, and insights related to sales, customer behavior, and operational performance.
• Develop and maintain reports and dashboards using business intelligence tools (e.g., Tableau, Power BI).
• Support the business intelligence team in generating regular performance reports for various departments.
• Identify data quality issues and collaborate on implementing solutions.
• Contribute to the development of new analytical models and methodologies.
• Learn and apply statistical techniques to data analysis.
• Present findings and insights in a clear and concise manner to team members.
• Assist with ad-hoc data requests and projects as needed.
• Shadow senior analysts to gain broader exposure to data-driven decision-making.

• Recent graduate (within the last 2 years) with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel, including advanced functions and pivot tables.
• Familiarity with at least one data analysis or visualization tool (e.g., SQL, Python with libraries like Pandas/NumPy, R, Tableau, Power BI) is a strong advantage.
• Excellent attention to detail and accuracy.
• Good communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Eagerness to learn and develop new skills in data analytics.
• Must be eligible to work in the UK and available for a hybrid work arrangement based in Nottingham, Nottinghamshire, UK .

• Assist in data collection and data cleaning processes.
• Perform basic data analysis and identify key trends.
• Support the creation of reports and data visualisations.
• Help maintain data integrity and accuracy.
• Collaborate with senior analysts on data-related projects.
• Learn and apply new analytical tools and techniques.
• Contribute to team meetings and share insights.
• Develop foundational skills in business intelligence and data analysis.

Below are the details of the position:

Job Title: Business Intelligence Analyst (HR Data)

Work Location: Maidenhead, UK (Hybrid)

Job Description:

• We are seeking a skilled Business Intelligence (BI) Analyst with a strong background in HR data analysis to join our team in Maidenhead, UK. In this role, you will play a key part in transforming complex HR data into meaningful insights that support strategic decision-making across the organization.

Key Responsibilities:

li>Work with HR data sets to deliver actionable insights and reports to business stakeholders.
• Collaborate with engineering teams to understand source systems and data structures.
• Develop and maintain dashboards and visualizations using Sisense or Power BI.
• Write efficient SQL/T-SQL queries to extract and manipulate data.
• Support data modelling and contribute to data warehousing efforts.
• Participate in ETL processes; experience with SSIS is a plus.
• Communicate findings clearly and effectively to non-technical audiences.
• Influence decision-making through data-driven storytelling.

Key Requirements:

• Minimum 5 years of experience in BI/Data Analysis, preferably with HR data .
• Proficiency in SQL/T-SQL and Microsoft Excel.
• Hands-on experience with Power BI, Sisense, or similar BI tools.
• Familiarity with data modelling, data warehousing, and ETL concepts.
• Exposure to SSIS or similar data integration tools is a plus.
• Strong communication and stakeholder management skills.
• Ability to work independently and collaborate across functions.