227 Data Analysts jobs in Oldbury

We are seeking a skilled Senior Business Intelligence Analyst to join our team and contribute to the creation of a large-scale, multi-tenanted data solution. As a Senior BI Analyst, you will be responsible for understanding customer needs and translating them into actionable insights through Power BI reports and dashboards. This role involves gathering business requirements, analysing data, and providing reports that help guide key business decisions.

We’re looking for someone with strong commercial awareness, able to identify opportunities, challenge assumptions, and deliver insights that drive revenue growth, operational efficiency, and customer value. This is a critical role that sits at the intersection of data, technology, and business strategy

Key Responsibilities:

• Engage regularly with customers to understand their changing goals and ensure reporting solutions remain relevant and aligned.
• Collaborate with customers to gather requirements and define KPIs, translating them into practical reporting solutions.
• Advise stakeholders on effective data visualisation techniques to maximise the impact and clarity of reports.
• Design and build custom Power BI reports and dashboards from scratch, ensuring alignment with both business objectives and technical requirements.
• Create visually engaging, intuitive dashboards that simplify complex data into clear, actionable insights for users at all levels.
• Analyse customer data to uncover trends, patterns, and opportunities that support strategic decision-making.
• Translate complex data into accessible, meaningful insights that inform non-technical stakeholders.
• Work closely with BI Developers, data engineers, and architects to ensure robust, scalable data models and efficient reporting infrastructure.
• Uphold data quality by ensuring accuracy, consistency, and compliance with governance standards across all reports.
• Regularly update and enhance existing reports based on user feedback and evolving business needs.
• Continuously refine and optimise dashboards for performance, scalability, and a smooth user experience.
• Provide hands-on support to customers, helping them interpret and use dashboards effectively to drive value.
• Confidently demonstrate reporting capabilities to prospective customers, showcasing value and usability.
• Stay up to date with the latest Power BI features, tools, and best practices to enhance service delivery.
• Contribute to continuous improvement initiatives, working with the wider BI team to elevate the overall reporting experience for customers.

Requirements

Key Skills & Experience:

• Senior level expertise in Power BI, including visualisations, report design, and dashboard development.
• Ability to create compelling and visually intuitive reports and dashboards tailored to customer needs.
• Strong understanding of business processes, KPIs, and the ability to translate complex data into actionable insights.
• Experience working in a SaaS environment, preferably with a focus on delivering managed reporting services to clients.
• Experience with data analysis, identifying key trends, patterns, and growth opportunities.
• Experience in SQL or other query languages for extracting and working with data.
• Previous experience working with large datasets or in industries where data-driven decision-making is crucial (e.g., finance, marketing, retail).
• Strong communication and customer engagement skills, with the ability to explain complex data in simple terms to non-technical stakeholders.

Desirable Skills:

• Familiarity with ETL tools and processes for data integration into Power BI.
• Experience with Power BI Embedded or other embedded analytics solutions.
• Knowledge of cloud-based data platforms such as Azure, AWS or Databricks

Benefits

As a Senior Business Intelligence Analyst at Pinewood.AI, you’ll have the opportunity to work with talented and supportive people on impactful projects. You'll enjoy ongoing training and career development opportunities.

Benefits include:

• Competitive salary based on experience
• Bonus scheme
• Share scheme
• Hybrid working – 2 days in the office per week
• 25 days holiday plus all UK bank holidays
• Ongoing training & professional development
• Free onsite gym
• Regular social events
• Employee recognition and awards

• Assist in the collection, cleaning, and pre-processing of data from various sources.
• Perform routine data analysis to identify trends, patterns, and anomalies.
• Develop and maintain reports and dashboards using business intelligence tools (e.g., Power BI, Tableau).
• Support senior analysts in generating insights and recommendations for business improvements.
• Assist in the creation of data visualizations to effectively communicate findings to non-technical audiences.
• Ensure data accuracy and integrity through rigorous validation processes.
• Collaborate with cross-functional teams to understand their data needs and provide analytical support.
• Help document data definitions, processes, and analytical methodologies.
• Stay updated on new data analysis techniques and tools.
• Contribute to a data-driven culture within the organization.

• A Bachelor's degree in Mathematics, Statistics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of fundamental statistical concepts and data analysis principles.
• Proficiency in Microsoft Excel, including advanced functions and pivot tables.
• Familiarity with SQL for data querying and manipulation.
• Basic knowledge of data visualization tools (e.g., Power BI, Tableau) is a plus.
• Excellent analytical and problem-solving abilities.
• Good communication and interpersonal skills, with the ability to explain technical concepts clearly.
• Meticulous attention to detail and a commitment to data accuracy.
• Eagerness to learn and develop new skills in a fast-paced environment.
• Ability to work effectively both independently and as part of a team.

• Assist in the collection, extraction, and organization of data from various sources.
• Perform data cleaning and preparation to ensure data quality and integrity.
• Conduct data analysis using statistical methods to identify trends, patterns, and correlations.
• Develop and generate reports, dashboards, and visualizations to communicate findings to stakeholders.
• Support senior analysts in the development of business intelligence solutions.
• Collaborate with different departments to understand their data needs and provide analytical support.
• Contribute to the improvement of data collection and analysis processes.
• Stay updated with new tools and techniques in data analysis and business intelligence.
• Assist in the validation and testing of data models and reports.
• Participate in team meetings and contribute to project discussions.

• Bachelor'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 passion for data.
• Basic understanding of statistical concepts and data analysis techniques.
• Familiarity with data manipulation tools (e.g., Excel) and databases (e.g., SQL).
• Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent communication and interpersonal skills, with the ability to explain technical information clearly.
• Proactive attitude and eagerness to learn and develop new skills.
• Ability to work both independently and as part of a team in a hybrid environment.
• Attention to detail and commitment to data accuracy.
• Previous internship or project experience involving data analysis is advantageous.

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Support senior analysts in developing reports and dashboards using BI tools (e.g., Power BI, Tableau).
• Perform basic data analysis to identify trends, patterns, and insights.
• Help to create visualizations that effectively communicate data findings.
• Collaborate with different departments to understand their data needs and reporting requirements.
• Contribute to data quality checks and validation processes.
• Learn and apply data analysis techniques and tools.
• Participate in team meetings and contribute ideas for improving data processes.
• Assist in preparing presentations of findings to stakeholders.
• Gain exposure to data warehousing concepts and database management.

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
• Basic understanding of data analysis concepts and principles.
• Familiarity with spreadsheet software (e.g., Microsoft Excel) for data manipulation.
• Eagerness to learn and develop skills in data visualization and BI tools.
• Strong analytical and problem-solving aptitude.
• Good communication and teamwork skills.
• Ability to work both independently and as part of a team.
• Understanding of database concepts is a plus.
• Attention to detail and accuracy.

• Develop, maintain, and optimize complex SQL queries to extract and manipulate data from various sources.
• Design, build, and deploy interactive dashboards and reports using business intelligence tools (e.g., Tableau, Power BI, QlikView).
• Analyze large datasets to identify trends, patterns, and anomalies, providing data-driven insights to support business objectives.
• Collaborate with stakeholders across different departments to understand their data needs and deliver relevant reports and analyses.
• Interpret complex data findings and communicate them clearly and concisely to both technical and non-technical audiences.
• Identify opportunities for process improvements in data collection, analysis, and reporting.
• Ensure data accuracy, integrity, and consistency across all reporting and analytical deliverables.
• Assist in the development and implementation of data governance policies and procedures.
• Mentor junior analysts and provide guidance on best practices in data analysis and visualization.
• Stay current with industry trends and advancements in data analytics and business intelligence.

• 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 or business intelligence, with a proven track record of delivering impactful insights.
• Advanced proficiency in SQL for data extraction, transformation, and analysis.
• Strong experience with at least one major BI tool (e.g., Tableau, Power BI, Looker).
• Solid understanding of statistical concepts and their application in data analysis.
• Excellent analytical and problem-solving skills, with a keen attention to detail.
• Effective communication and presentation skills, with the ability to explain complex data to diverse audiences.
• Experience working with large datasets and data warehousing concepts.
• Ability to work independently and manage multiple projects in a remote environment.
• Familiarity with data modeling and ETL processes is a plus.

• Assist senior analysts in collecting, cleaning, and organizing large datasets from various sources.
• Perform basic data analysis to identify trends, patterns, and insights relevant to business objectives.
• Generate reports and dashboards using BI tools (e.g., Tableau, Power BI) to visualize key performance indicators (KPIs).
• Support the development and maintenance of data models and databases.
• Help to identify data quality issues and implement corrective actions.
• Collaborate with different departments to understand their data needs and provide support.
• Learn and apply statistical methods and data mining techniques.
• Assist in preparing presentations and summaries of findings for stakeholders.
• Contribute to ad-hoc data requests and projects as needed.
• Maintain data integrity and security standards.

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
• Strong analytical and problem-solving skills with a keen eye for detail.
• Familiarity with data analysis concepts and tools (e.g., Excel, SQL).
• Basic understanding of business intelligence concepts and data visualization principles.
• Excellent communication and interpersonal skills, with the ability to work effectively in a team.
• Eagerness to learn and a proactive approach to tasks.
• Knowledge of programming languages like Python or R is a plus.
• Previous internship or project experience in data analysis is beneficial but not essential.
• Ability to interpret data and translate it into meaningful business insights.
• Must be eligible to work in the UK.

• Assisting in the collection, cleaning, and preparation of data from various sources.
• Performing data analysis to identify trends, patterns, and insights.
• Creating reports, dashboards, and visualizations using BI tools (e.g., Tableau, Power BI).
• Supporting the development and maintenance of data models and databases.
• Collaborating with team members to understand data requirements and deliver relevant analysis.
• Learning and applying data governance principles and best practices.
• Troubleshooting data issues and ensuring data accuracy and integrity.
• Participating in training sessions and actively seeking opportunities for skill development.
• Contributing to ad-hoc data analysis requests as needed.

• Develop and implement advanced statistical and machine learning models to solve complex mining-related problems.
• Analyze large datasets from various sources (e.g., geological surveys, sensor data, operational logs) to identify trends and insights.
• Design, build, and maintain scalable data pipelines and analytical workflows.
• Create compelling data visualizations and dashboards to communicate findings to stakeholders.
• Collaborate with cross-functional teams, including geologists, engineers, and operations managers, to define data requirements and drive data-informed decision-making.
• Stay current with the latest advancements in data science, machine learning, and AI, and explore their applicability to the mining sector.
• Mentor junior data scientists and contribute to the team's technical growth.
• Ensure data quality and integrity throughout the analytical process.
• Effectively communicate complex technical concepts to non-technical audiences.

• MSc or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist, with a proven track record of delivering impactful data-driven solutions.
• Strong experience in machine learning techniques (e.g., regression, classification, clustering, time-series analysis).
• Proficiency in Python or R and associated data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Demonstrable experience in applying data science to the mining industry is highly preferred.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to work effectively in a remote team.

• Develop and implement sophisticated statistical models and machine learning algorithms to analyze complex mining data.
• Identify key performance indicators and predictive insights to optimize exploration, extraction, and processing operations.
• Collaborate with geologists, engineers, and operations managers to translate business challenges into data science solutions.
• Design and conduct A/B tests and other experiments to validate model performance and operational impacts.
• Clean, preprocess, and transform large, disparate datasets from various sources (e.g., sensors, geological surveys, operational logs).
• Develop data visualization dashboards and reports to communicate complex findings to technical and non-technical stakeholders.
• Stay abreast of the latest advancements in data science, machine learning, and their applications in the mining industry.
• Mentor junior data scientists and contribute to the growth of the data science team.
• Ensure data integrity, security, and ethical use of data across all analytical projects.
• Propose and develop new analytical methodologies and tools to address emerging industry needs.
• Present findings and recommendations to senior management to inform strategic decision-making.

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of experience as a Data Scientist, with a strong preference for experience in the mining, energy, or heavy industry sectors.
• Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
• Strong experience with SQL and database management.
• Proven ability to develop and deploy machine learning models (e.g., regression, classification, clustering, time-series forecasting, anomaly detection).
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent data visualization skills (e.g., Matplotlib, Seaborn, Tableau, Power BI).
• Outstanding analytical, problem-solving, and critical thinking skills.
• Exceptional communication and interpersonal skills, with the ability to explain complex technical concepts clearly.