138 Business Intelligence Tools jobs in the United Kingdom
Report Writer (Oracle Fusion & OAC Reporting Tools)
Posted 12 days ago
Job Viewed
Job Description
Role: Report Writer (Oracle Fusion & OAC Reporting Tools)
Job Type: Contract
Duration: 6+ Months
Work Location: London, United Kingdom
Job Purpose:
The Report Writer (Oracle Fusion) is responsible for designing, developing, and maintaining reports and dashboards across all Oracle Fusion reporting tools. The individual will work closely with business stakeholders to understand reporting requirements, analyse data sources, and deliver actionable insights. The role requires proficiency in Oracle Fusion applications reporting tools like BI Publisher, OTBI, Oracle Smart View, and FRS, to develop comprehensive reporting solutions that support strategic business decisions. Require good experience in Oracle Analytics Cloud (OAC) data modelling, dashboard, and report activities.
Key Responsibilities:
• Report Development:
• Design and develop reports & dashboards using Oracle Reporting tools such as BI Publisher, OTBI (Oracle Transactional Business Intelligence), FRS (Financial Reporting Studio), Smart View, and OAC (Oracle Analytics Cloud).
• Build complex data models and data extracts to meet business requirements, ensuring high performance and data integrity.
• Create dashboards and interactive visualisations for users to analyse real-time data.
• Stakeholder Collaboration:
• Work closely with business units to gather and analyse reporting requirements, ensuring a clear understanding of data needs, report specifications, and usability ( fit for use and purpose) requirements.
• Translate business needs into technical requirements and effective report designs.
• Provide support and training to business users on reporting tools, dashboards, and data interpretation.
• Data Analysis & Validation:
• Perform data analysis and validation to ensure the accuracy and consistency of report outputs.
• Troubleshoot data inconsistencies and discrepancies, working with IT and functional teams to resolve data quality issues.
• Refine reports for better performance and usability.
• Documentation & Maintenance:
• Document report specifications, data sources, and business logic to ensure long-term maintainability and scalability.
• Maintain and update existing reports based on evolving business requirements or Oracle Fusion updates.
• Ensure adherence to data governance policies and best practices for data security and compliance.
Key Skills & Competencies:
• Technical Expertise:
• Proficiency in Oracle Fusion Cloud applications and modules landscape (Financials, Procurement, etc. and their interdependencies).
• In-depth knowledge of Oracle reporting tools: BI Publisher, OTBI, FRS, Oracle Smart View, Narrative Reporting and OAC.
• Familiarity with SQL, PL/SQL, and database structures for creating data models and queries.
• Good understanding of security model on Fusion Application and OAC platform to ensure that reports are delivered to meet business requirements in secured way.
• Knowledge of various EPM reporting writing tools, in particular Oracle Smart View, Web Forms, Dashboards & Infolets, and Financial Reporting Studio.
• Desirable: Knowledge of how to connect external reporting tools like Power BI and QliKSense with EPM data sources.
• Desirable: Knowledge of Narrative Reporting and how to leverage its capabilities to build rich narrative driven reports
• Analytical Skills:
• Strong analytical and problem-solving skills to identify reporting needs, data patterns, and business trends.
• Ability to synthesise complex data into actionable insights and present them in a clear, understandable format.
• Communication & Collaboration:
• Excellent communication skills, with the ability to work closely with non-technical business users to understand and translate requirements.
• Ability to explain technical details to both technical and non-technical stakeholders.
• Strong collaboration skills to work within cross-functional teams including IT, Finance, HR, and other departments.
• Attention to Detail:
• High level of accuracy and attention to detail in reporting to ensure data integrity and report reliability.
• Strong organisational skills with the ability to manage multiple tasks and deadlines.
Qualifications & Experience:
• Education:
• Bachelor’s degree in Computer Science, Information Systems, Business, or related field.
• Oracle Fusion certifications (preferred but not mandatory).
• Experience:
• Minimum 3-5 years of experience in report writing with Oracle Fusion Cloud and associated reporting tools.
• Hands-on experience with BI Publisher, OTBI, FRS, Oracle Smart View and OAC.
• Proven experience in SQL, database querying, and building data models
• Experience working in cross-functional teams and communicating with business and IT stakeholders
• Prior experience in creating reports & dashboard for Fusion Cloud Applications must have.
Desirable Skills:
• Experience in archive data reporting would be preferred but not mandatory.
• Familiarity with additional Oracle Fusion tools like HCM Extracts, Financial Analytics, and Oracle Data Visualisation.
• Experience with reporting tools outside Oracle Fusion (e.g., Power BI, Tableau) for comparative data visualisation skills.
• Knowledge of cloud computing and understanding of Oracle Autonomous Datawarehouse (ADW), Oracle Data Integrator (ODI) market place and Oracle Cloud Infrastructure (OCI) would be beneficial.
• Good understanding of how data is extracted from Fusion Cloud to OAC using BICC Connectors
• Good understanding of EPM modules, in particular Financials, Workforce, and Projects.
• Understanding of EPM dimensionality and how it can be enhanced through attributes and UDAs
Senior Geologist - Data Analysis
Posted 2 days ago
Job Viewed
Job Description
The responsibilities include developing geological models, assessing resource potential, and preparing detailed technical reports for internal stakeholders and regulatory bodies. You will collaborate closely with exploration teams, mining engineers, and data scientists to ensure geological insights are integrated into all stages of the mining lifecycle. A strong understanding of geological principles, statistical analysis, and geological software (e.g., Leapfrog, ArcGIS, Vulcan) is essential. The ideal candidate will have excellent problem-solving skills, a meticulous approach to data handling, and the ability to communicate complex geological information clearly and concisely. This is a fantastic opportunity for a seasoned geologist to contribute to significant projects and advance their career within a respected organization.
Key Responsibilities:
- Analyze and interpret geological and geophysical data.
- Develop and refine 3D geological models.
- Conduct resource estimation and geological risk assessments.
- Prepare comprehensive technical reports and presentations.
- Collaborate with exploration and mining engineering teams.
- Utilize advanced geological software for data processing and visualization.
- Advise on exploration strategies and target definition.
- Ensure data quality and integrity throughout projects.
- Stay updated on the latest geological techniques and technologies.
- Contribute to the company's overall resource management strategy.
- MSc or PhD in Geology, Geophysics, or a related field.
- Significant experience in geological data analysis and modelling.
- Proficiency in geological software packages (e.g., Leapfrog, ArcGIS, Vulcan).
- Strong statistical analysis and quantitative skills.
- Experience in mineral resource estimation.
- Excellent written and verbal communication skills.
- Ability to work effectively in a hybrid environment.
- Strong problem-solving and critical thinking abilities.
- Familiarity with exploration and mining processes.
Graduate Trainee - Data Analysis
Posted 2 days ago
Job Viewed
Job Description
Key Responsibilities:
- Assist in collecting, cleaning, and organising large datasets from various sources.
- Perform preliminary data analysis using statistical methods and software tools.
- Support senior analysts in generating reports, dashboards, and visualisations to communicate findings.
- Learn and apply data mining techniques to identify trends, patterns, and insights.
- Contribute to the development of data models and analytical frameworks.
- Collaborate with team members on projects, participating in brainstorming sessions and problem-solving activities.
- Assist in documenting data sources, methodologies, and analytical processes.
- Gain exposure to various data analysis tools and technologies (e.g., SQL, Python, R, Tableau).
- Participate in training sessions and workshops to enhance technical and analytical skills.
- Provide support for ad-hoc data requests and analysis as needed.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, Economics, Computer Science, or a related discipline.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with or willingness to learn data manipulation and analysis tools (e.g., Excel, SQL).
- Excellent communication and interpersonal skills.
- Ability to work both independently and as part of a team.
- Proactive attitude and eagerness to learn and develop new skills.
- Eligibility to work in the UK.
- Comfortable working in a hybrid work environment.
Advanced Apprentice - Data Analysis
Posted 9 days ago
Job Viewed
Job Description
This apprenticeship will provide comprehensive training in data manipulation, analysis, visualization, and reporting. You will work alongside experienced data professionals, learning industry-standard tools and techniques. Your contributions will directly support business intelligence efforts, helping to shape strategic decisions through data-driven recommendations.
What you will learn and do:
- Assist in the collection, cleaning, and preprocessing of diverse datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop reports and dashboards using data visualization tools to present findings clearly and concisely.
- Support the team in designing and implementing data quality checks and validation processes.
- Gain exposure to statistical modeling and predictive analytics concepts.
- Learn to use programming languages such as Python or R for data manipulation and analysis.
- Understand database concepts and SQL for data extraction.
- Collaborate with different departments to understand their data needs and provide analytical support.
- Contribute to the continuous improvement of data processes and methodologies.
- Undertake a structured learning program leading to a recognised qualification in Data Analysis.
- A strong interest in data, analytics, and technology.
- A minimum of 5 GCSEs at Grade C/4 or above, including Maths and English, or equivalent.
- Excellent problem-solving abilities and a keen eye for detail.
- Good communication and teamwork skills.
- A proactive attitude and a willingness to learn.
- Basic understanding of Excel or similar spreadsheet software is advantageous.
Agronomist - Remote Data Analysis
Posted 9 days ago
Job Viewed
Job Description
Key Responsibilities:
- Analyze vast datasets from various sources, including soil sensors, weather stations, satellite imagery, and farm management software.
- Develop predictive models for crop growth, disease outbreaks, and pest infestations.
- Provide data-driven recommendations to farmers and agricultural businesses on planting schedules, fertilization, irrigation, and pest/disease management strategies.
- Interpret complex agricultural data and translate it into clear, concise, and actionable reports and presentations for diverse audiences.
- Collaborate with the R&D team to improve data collection methodologies and analytical tools.
- Stay current with advancements in agricultural science, data analytics, and precision farming technologies.
- Contribute to the development of best practices for sustainable agriculture through data analysis.
- Assist in the design and execution of field trials to validate analytical models and recommendations.
- Troubleshoot data quality issues and implement data cleansing procedures.
- Communicate effectively with clients and internal teams through virtual channels.
- A Master's degree or Ph.D. in Agronomy, Crop Science, Agricultural Science, or a closely related field.
- A strong background in data analysis, statistical modelling, and the use of agricultural data platforms/software.
- Proficiency in data analysis tools such as R, Python, or similar programming languages.
- Experience with GIS software and remote sensing data interpretation.
- Knowledge of various crop types and agricultural systems.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to convey technical information effectively.
- Proven ability to work independently, manage projects, and deliver results in a remote setting.
- Experience in a client-facing role or providing advisory services is a plus.
- A passion for sustainable agriculture and technological innovation.
Graduate Trainee - Data Analysis
Posted 9 days ago
Job Viewed
Job Description
Key Responsibilities:
- Assist senior analysts in collecting and cleaning large datasets from various sources.
- Perform data extraction, transformation, and loading (ETL) processes under guidance.
- Conduct exploratory data analysis to identify trends, patterns, and insights.
- Develop and create clear and concise data visualizations and reports to communicate findings.
- Support the development and testing of analytical models.
- Learn and apply statistical methods and techniques relevant to data analysis.
- Collaborate with team members to understand project requirements and contribute to solutions.
- Maintain accurate documentation of data processes and analytical methodologies.
- Participate in team meetings and training sessions to enhance technical and analytical skills.
- Contribute to ad-hoc data analysis requests as needed.
- A recent graduate (within the last 2 years) with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Physics, or a related discipline.
- Strong analytical and problem-solving abilities.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
- Familiarity with SQL for database querying.
- An understanding of statistical concepts and data modelling principles.
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work effectively both independently and as part of a team.
- Eagerness to learn and adapt to new technologies and methodologies.
- Previous internship or project experience in data analysis is a plus.
Agronomist (Precision Agriculture & Data Analysis)
Posted 5 days ago
Job Viewed
Job Description
Responsibilities:
- Develop and implement precision agriculture strategies tailored to specific farm operations.
- Collect and analyze data from various sources, including soil sensors, weather stations, drones, satellite imagery, and farm machinery.
- Utilize GIS and data visualization tools to map field variability and identify areas requiring specific treatment.
- Provide expert recommendations on crop nutrition, pest and disease management, irrigation, and soil health based on data analysis.
- Monitor crop growth and performance, identifying potential issues and recommending timely interventions.
- Evaluate the effectiveness of different agricultural inputs and practices.
- Stay current with the latest advancements in agricultural technology, data science, and agronomic research.
- Collaborate with farm managers, agronomists, and technical staff to implement recommendations and ensure successful outcomes.
- Maintain detailed records of field trials, experiments, and operational data.
- Contribute to the development of sustainable and environmentally sound farming practices.
- Train farm personnel on the use of precision agriculture technologies and data interpretation tools.
- Prepare reports and presentations on findings, recommendations, and program performance.
Qualifications:
- Bachelor's or Master's degree in Agronomy, Agricultural Science, Soil Science, Data Science, or a related field.
- Proven experience (3+ years) as an Agronomist or in a related agricultural role with a strong focus on data analysis.
- Demonstrable expertise in precision agriculture techniques and technologies (e.g., GPS guidance, variable rate application, remote sensing).
- Proficiency in using GIS software (e.g., ArcGIS, QGIS) and data analysis tools (e.g., R, Python, Excel with advanced functions).
- Strong understanding of soil science, crop physiology, plant pathology, and entomology.
- Experience with agricultural data management platforms and software.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex data to diverse audiences.
- Ability to work independently and as part of a team in a field-based environment.
- A valid driver's license and willingness to travel to various farm locations within the region.
- Knowledge of sustainable agriculture practices is a plus.
Be The First To Know
About the latest Business intelligence tools Jobs in United Kingdom !
Remote Exploration Geologist - Data Analysis
Posted 9 days ago
Job Viewed
Job Description
Responsibilities:
- Analyze geological, geochemical, and geophysical data to identify exploration targets.
- Develop and interpret 3D geological models and resource estimates.
- Assess the viability and potential of mineral resource projects.
- Utilize advanced geological software for data analysis and visualization.
- Collaborate remotely with cross-functional exploration teams.
- Contribute to the development of exploration strategies and budgets.
- Ensure the quality and accuracy of geological datasets and reports.
- Prepare technical reports and presentations for management.
- Stay abreast of new technologies and methodologies in mineral exploration.
- Maintain knowledge of global mining trends and commodity markets.
- MSc or PhD in Geology, Economic Geology, or a related field.
- Minimum of 7 years of experience in mineral exploration, with a focus on data analysis.
- Proficiency in geological modeling and resource estimation software (e.g., Leapfrog, Surpac).
- Strong understanding of mineral deposit types and exploration techniques.
- Excellent analytical, critical thinking, and problem-solving skills.
- Experience with geological data management systems.
- Ability to work independently and manage projects effectively in a remote setting.
- Strong written and verbal communication skills.
- Familiarity with scripting languages (Python, R) is a plus.
Advanced Apprenticeship in Data Analysis
Posted 9 days ago
Job Viewed
Job Description
Program Details:
- Comprehensive training in data collection, cleaning, and preparation techniques.
- Learning to use industry-standard tools such as SQL, Python/R, and data visualization software (e.g., Tableau, Power BI).
- Developing skills in data interpretation, statistical analysis, and report generation.
- Gaining practical experience through real-world projects and tasks.
- Mentorship from experienced data analysts and professionals.
- Hybrid learning model: structured remote study combined with on-site work experience.
- Opportunity to earn a recognized qualification upon completion.
- Pathway to potential full-time employment with partner companies.
- Minimum of 5 GCSEs at grades 9-4 (A*-C) including Maths and English, or equivalent qualifications.
- A genuine interest in data analysis and technology.
- Strong numerical and analytical abilities.
- Good problem-solving skills and attention to detail.
- Effective communication and interpersonal skills.
- Ability to work collaboratively in a team and independently.
- Commitment to completing the full apprenticeship program.
- Must be eligible to work in the UK and not currently in full-time education.
Remote Graduate Trainee - Data Analysis
Posted 9 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Develop reports and visualizations to communicate findings effectively to stakeholders.
- Support senior analysts in building predictive models and analytical solutions.
- Learn and apply statistical methods and data mining techniques.
- Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
- Ensure data integrity and accuracy throughout the analysis process.
- Contribute to the development of data dashboards and performance tracking tools.
- Participate in team meetings, training sessions, and knowledge-sharing activities.
- Stay updated on the latest trends and tools in data analysis and data science.
Qualifications:
- Recently graduated with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong analytical and problem-solving skills.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with data manipulation tools or programming languages (e.g., SQL, Python, R) is a plus.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- A keen eye for detail and a commitment to accuracy.
- Enthusiasm for learning and developing new skills in data analytics.
- Must be eligible to work in the UK.