3,292 Business Data jobs in the United Kingdom

• Assist in collecting, cleaning, and transforming raw data from various sources.
• Perform data analysis using statistical methods and tools to identify trends, patterns, and insights.
• Develop and maintain reports and dashboards to visualize key business metrics.
• Support the creation of presentations and documentation to communicate findings to stakeholders.
• Collaborate with team members to understand data requirements and business objectives.
• Identify opportunities for data quality improvements and process enhancements.
• Learn and apply new analytical techniques and tools.
• Assist in data validation and testing of analytical models.
• Contribute to ad-hoc data analysis requests from different departments.
• Participate in team meetings and training sessions to enhance skills and knowledge.

• Recent graduate with a degree in a quantitative field such as Mathematics, Statistics, Computer Science, Economics, or a related discipline.
• Strong understanding of statistical concepts and data analysis principles.
• Proficiency in data manipulation and analysis tools such as Excel, SQL, and potentially Python or R.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent analytical and problem-solving abilities.
• Strong attention to detail and accuracy.
• Good communication and teamwork skills.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work effectively in a team environment and take direction.
• A genuine interest in business intelligence and data-driven decision-making.

• Assist in collecting, cleaning, and organizing data from multiple sources.
• Perform data analysis to identify trends, patterns, and insights.
• Develop and maintain reports and dashboards using data visualization tools.
• Support senior analysts in ad-hoc data requests and projects.
• Learn and apply SQL queries to extract and manipulate data.
• Contribute to the documentation of data processes and methodologies.
• Assist in identifying data quality issues and proposing solutions.
• Gain exposure to business intelligence tools and methodologies.
• Participate in team meetings and contribute to discussions.
• Develop an understanding of key business metrics and KPIs.
• Enhance data visualization skills to effectively communicate findings.

• Recent graduate with a degree in Mathematics, Statistics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Basic understanding of data analysis concepts.
• Familiarity with spreadsheet software (e.g., Microsoft Excel).
• Basic knowledge of SQL is a plus.
• Enthusiasm to learn and develop skills in data analysis and business intelligence.
• Excellent written and verbal communication skills.
• Ability to work independently and collaboratively in a remote environment.
• Strong attention to detail and organizational skills.
• Proactive attitude and eagerness to take on new challenges.

• Develop and maintain robust business intelligence dashboards and reports using tools such as Tableau, Power BI, or Looker.
• Extract, clean, and transform data from various sources (databases, APIs, flat files) for analysis.
• Perform in-depth data analysis to identify trends, patterns, and insights related to business performance, customer behavior, and market dynamics.
• Collaborate with stakeholders across different departments to understand their data needs and provide tailored analytical solutions.
• Translate complex analytical findings into clear, concise, and actionable recommendations for business leaders.
• Design and implement A/B tests and other experiments to evaluate the impact of business initiatives.
• Develop and manage data models to support ongoing reporting and analytical requirements.
• Ensure data accuracy, integrity, and consistency in all reporting and analytical outputs.
• Stay current with emerging trends in data analytics, business intelligence, and data science.
• Mentor junior data analysts and contribute to the team's technical growth.
• Present findings and recommendations to executive leadership and other key stakeholders.
• Automate reporting processes where possible to improve efficiency.

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Minimum of 5 years of experience in data analysis, business intelligence, or a related role.
• Proficiency in SQL for data extraction and manipulation is essential.
• Advanced skills in at least one BI visualization tool (e.g., Tableau, Power BI, QlikView, Looker).
• Strong understanding of statistical analysis techniques and concepts.
• Experience with programming languages such as Python or R for data analysis is highly desirable.
• Excellent problem-solving skills and the ability to think critically about data.
• Strong communication and presentation skills, with the ability to convey technical information to non-technical audiences.
• Proven ability to work independently and manage projects effectively in a remote environment.

• Develop, design, and maintain robust BI dashboards and reports using tools such as Tableau, Power BI, or QlikView.
• Extract, transform, and load (ETL) data from various sources into data warehouses and data marts.
• Write complex SQL queries to perform data analysis, manipulation, and validation.
• Collaborate with stakeholders across different business units to gather requirements and translate them into technical specifications.
• Perform in-depth data analysis to identify trends, patterns, and insights that support business objectives.
• Proactively identify opportunities for process improvements and enhancements to BI solutions.
• Ensure data accuracy, integrity, and consistency across all reporting and analytical outputs.
• Develop and implement data quality checks and validation procedures.
• Train and support end-users on BI tools and reporting functionalities.
• Stay up-to-date with the latest BI technologies, techniques, and best practices.
• Contribute to the design and architecture of data models and data warehouses.
• Present data findings and recommendations clearly and concisely to both technical and non-technical audiences.

• Proven experience (minimum 5 years) as a Data Analyst or Business Intelligence Developer.
• Strong proficiency in SQL for complex querying and data manipulation.
• Extensive experience with BI tools such as Tableau, Power BI, or QlikView.
• Solid understanding of data warehousing concepts, ETL processes, and data modeling.
• Excellent analytical, critical thinking, and problem-solving skills.
• Experience with statistical analysis and data visualization techniques.
• Strong communication and presentation skills, with the ability to explain complex data insights effectively.
• Familiarity with Python or R for data analysis is a plus.
• Experience working in a hybrid environment and managing priorities effectively.
• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.

• Assist in gathering data from various sources, including databases, spreadsheets, and external platforms.
• Perform data cleaning and preprocessing to ensure data accuracy and integrity.
• Conduct basic data analysis to identify key performance indicators (KPIs), trends, and anomalies.
• Support the creation of reports, dashboards, and visualizations using BI tools (e.g., Tableau, Power BI).
• Help to translate business requirements into data analysis tasks.
• Collaborate with team members to validate findings and ensure the quality of analysis.
• Document data sources, methodologies, and findings.
• Contribute to the development of data models and reporting structures.
• Stay up-to-date with emerging trends and tools in data analysis and business intelligence.
• Provide support for ad-hoc data requests from various business units.

• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
• Strong understanding of fundamental statistical concepts.
• Proficiency with Microsoft Excel, including pivot tables, VLOOKUP, and charting.
• Basic knowledge of SQL for data extraction and manipulation is highly desirable.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent analytical and problem-solving abilities.
• Strong attention to detail and commitment to data accuracy.
• Good communication skills, both written and verbal, with the ability to explain technical concepts to non-technical audiences.
• Eagerness to learn and adapt to new technologies and methodologies.

• Assist in the collection, cleaning, and preparation of data from various sources.
• Support the development and maintenance of reports and dashboards using BI tools.
• Perform data validation and ensure the accuracy and consistency of data.
• Conduct basic data analysis to identify trends, patterns, and anomalies.
• Assist in extracting data using SQL queries.
• Help document data processes and methodologies.
• Collaborate with senior analysts and business stakeholders to understand data requirements.
• Learn and apply best practices in data management and analysis.
• Support ad-hoc data requests from different departments.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related discipline.
• Strong proficiency in Microsoft Excel, including pivot tables, VLOOKUPs, and charting.
• Basic understanding of database concepts and SQL for data retrieval.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong attention to detail and accuracy.
• Good written and verbal communication skills.
• Eagerness to learn and develop skills in data analysis and business intelligence.
• Ability to work effectively both independently and as part of a team.

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.

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.