153 Data Analysts jobs in West Midlands

• Ph.D. in Genomics, Bioinformatics, Molecular Biology, or a related quantitative field.
• 10+ years of extensive research experience in genomics and computational biology.
• Proven expertise in designing and analyzing large-scale genomic datasets (WGS, WES, RNA-Seq, ChIP-Seq).
• Proficiency in programming languages (Python, R) and bioinformatics tools/pipelines.
• Experience with statistical modeling, machine learning, and data visualization.
• Strong understanding of molecular biology and genetics.
• Experience with cloud computing platforms and HPC environments.
• Excellent leadership, mentoring, and collaboration skills.
• Ability to work independently and effectively in a fully remote R&D setting.
• Exceptional scientific communication (written and oral) and problem-solving abilities.

• Analyze and interpret remote sensing data (satellite, aerial, drone imagery) for agricultural applications, including crop health monitoring, soil analysis, and land cover classification.
• Develop and apply advanced algorithms and statistical models for crop yield forecasting, disease detection, and pest identification.
• Integrate various data sources, including weather data, soil data, historical yield data, and farm management records, to create comprehensive analytical models.
• Utilize GIS software (e.g., ArcGIS, QGIS) and programming languages (e.g., Python, R) for data processing, analysis, and visualization.
• Design and manage pilot projects for testing new remote sensing technologies and data analysis techniques in diverse agricultural settings.
• Collaborate with farmers and agricultural advisors to understand their needs and translate data insights into practical recommendations.
• Prepare detailed reports, presentations, and technical documentation for internal teams and external stakeholders.
• Stay abreast of the latest advancements in remote sensing technology, precision agriculture, and data science.
• Contribute to the development of new products and services related to data-driven agronomy.
• Mentor junior data analysts and agronomists, sharing expertise in remote sensing and data interpretation.

• Master's degree or PhD in Agronomy, Agricultural Science, Geography, Remote Sensing, Environmental Science, or a related field with a strong quantitative focus.
• Minimum of 7 years of experience in agronomy with a significant focus on remote sensing data analysis and agricultural applications.
• Demonstrated expertise in interpreting multispectral, hyperspectral, and thermal imagery.
• Proficiency in GIS software and remote sensing platforms.
• Strong programming skills in Python or R, including experience with relevant libraries for data analysis and machine learning (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of agricultural principles, crop physiology, and soil science.
• Excellent analytical, problem-solving, and data visualization skills.
• Ability to communicate complex technical findings clearly and effectively to both technical and non-technical audiences.
• Proven ability to work independently and manage multiple projects in a remote setting.
• Familiarity with precision agriculture techniques and technologies is highly desirable.
• Must be legally authorized to work in the UK.

• Lead the design, development, and execution of complex bioinformatics analyses for large-scale genomics datasets (e.g., WGS, WES, RNA-Seq).
• Develop and implement robust, scalable, and reproducible bioinformatics pipelines and workflows using scripting languages (Python, R, Perl) and workflow management systems (e.g., Snakemake, Nextflow).
• Manage and mentor a team of bioinformatics scientists, fostering a collaborative and innovative research environment.
• Collaborate closely with molecular biologists, geneticists, clinicians, and other researchers to define project goals and analytical strategies.
• Apply advanced statistical and machine learning methods for variant calling, association studies, gene expression analysis, and other genomic investigations.
• Interpret complex biological data, translate findings into actionable insights, and effectively communicate results to both technical and non-technical audiences.
• Stay abreast of the latest advancements in bioinformatics, genomics, and computational biology, and integrate new tools and methodologies into the team's workflow.
• Contribute to grant writing, manuscript preparation, and presentation of research findings at scientific conferences.
• Ensure data integrity, security, and compliance with relevant ethical and regulatory standards.
• Oversee the management and curation of genomic databases and repositories.

• Ph.D. in Bioinformatics, Computational Biology, Genomics, Computer Science, Statistics, or a related field.
• Minimum of 7 years of post-doctoral research experience in bioinformatics, with at least 3 years in a leadership or team management role.
• Demonstrated expertise in analyzing high-throughput sequencing data across various platforms.
• Proficiency in programming languages such as Python and R, and experience with relevant bioinformatics libraries and packages.
• Strong understanding of statistical genetics, population genetics, and machine learning principles.
• Experience with cloud computing platforms (e.g., AWS, Google Cloud) and containerization technologies (e.g., Docker, Singularity) is highly desirable.
• Proven ability to manage complex projects, mentor junior staff, and drive research initiatives.
• Excellent problem-solving skills and a strong publication record in peer-reviewed journals.
• Outstanding written and verbal communication skills, with the ability to present complex information clearly.
• Ability to work effectively in a distributed, remote team environment.

6-12 months | Outside IR35 | £510 per day | Hybrid - Midlands

Our client is embarking on a major application rebuild programme to modernise the technology behind its customer options and configuration process. The existing platform has served the business well but suffers from a fragmented data structure that limits scalability and insight.

This project is focused on re-engineering the data layer to create a clean, efficient foundation for operational performance and downstream analytics.

The Data Mapping & Integration Analyst will play a key role in defining how data flows through this new platform, from source systems through to the central data environment.

Working closely with the Data, Architecture, and Application Development teams, this individual will ensure the new system is designed with robust, future-proofed data structures that support both operational use and analytical value. This is a hands-on data role, not a reporting or visualisation position, focused on understanding how data is captured, structured, and transferred between systems.

• Analyse and document as-is data structures, including JSON-based and SQL sources.
• Design and define the to-be data model, including entity relationships, data dictionaries, and lineage.
• Develop and maintain detailed source-to-target mappings to support data migration and system integration.
• Collaborate with solution architects, developers, and business SMEs to ensure the data model supports both operational processes and analytical requirements.
• Identify and resolve data quality and consistency issues early in the project lifecycle.
• Provide input to design documentation, data governance standards, and technical specifications.
• Act as the data SME across the application rebuild, ensuring data considerations are embedded from design through delivery.

• Strong experience in data analysis, data modelling, and data mapping within application rebuilds or migration projects.
• Excellent understanding of relational databases (SQL) and working knowledge of JSON or similar semi-structured formats.
• Demonstrable experience in producing source-to-target mappings, data dictionaries, and integration specifications.
• Proven track record of collaborating with technical and business teams to align data design with functional outcomes.
• Awareness of data quality, lineage, and governance principles.
• Previous experience working in complex operational environments such as retail, manufacturing, property, or ERP/CPQ systems is advantageous.

The Company:

A Graduate Data Analyst/ Business Analyst is required to join a successful company to assist with generating reports using business intelligence software and turn the data into useful recommendations and actions. This is an excellent opportunity to learn and understand all areas of reporting within a B2B environment, whilst working closely with teams across the company to provide clear data to assist with daily decision making. This is a fantastic opportunity to join a growing, diverse, and dynamic organisation which is the largest in its sector during a very exciting period of growth. You will work within the supply chain team to manage the product through its life cycle from development to delivery with a KEY FOCUS ON COST and to ensure we are sourcing correctly, in order to certify the critical path is not delayed in delivering goods.

The main focus will be negotiating prices with factories and analysing against product history to maximise the margin and manage supplier capabilities and relationships.  Role is key to ensure cost is entered accurately and right source selected for development through to bulk production.  Role will also involve working on our PLM system for order entry and management with the team.

The Role:

• Costing Strategy & Analysis
  • Develop and maintain comprehensive cost models for all product categories
  • Analyse total landed costs including freight, duties, tariffs, and currency impacts
  • Identify cost-saving opportunities across sourcing and logistics
• Supplier Collaboration
  • Work closely with overseas suppliers to negotiate competitive pricing
  • Monitor supplier performance and ensure cost compliance
  • Conduct regular cost benchmarking across regions
• Cross-Functional Support
  • Partner with design, procurement, logistics, and finance teams to align costing with product development and delivery timelines
  • Support budgeting and forecasting with accurate cost data
• Systems & Reporting
  • Maintain accurate costing data in PLM systems and ensure data integrity
  • Generate reports and insights for leadership on cost trends and supplier performance
  • Updating system process map and keeping this up to date with all changes. 
• Compliance & Risk Management
  • Ensure costing practices comply with international trade regulations
  • Mitigate risks related to currency fluctuations and geopolitical factors

Skills

• Confident in communication – Verbal and written
• Attention to detail
• Accountability & responsibility 
• Collaboration 
• Flexibility 
• Results orientated 
• Teamwork 
• Numeracy and written communication
• High level of computer literacy – High level understanding of Excel for reporting
• Excellent negotiation and communication skills

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Please be aware the duties listed above are an interpretation of the role and do not form any part of your employment contract. Please ask the interviewer any questions about the role that you wish to clarify.

Tagged Resources Limited acts as an employment agency. We have 25 years of Recruitment and Industry experience, working with Retail and Supply Chain markets and have various positions available. If this vacancy does not suit your experience and you are looking for a suitable role, please look at our website or follow us on social networking sites.  All are updated daily.

Job title: Data Analyst

Location : Warwick, UK (Hybrid- 2-3 days/week)

Type: Contract

Client: Wipro

About the Role:

We are seeking a detail-oriented and technically skilled Data Analyst to support our transition from an OpenText SaaS platform to a SharePoint-based data management solution. The ideal candidate will work closely with business stakeholders and technical teams to collate, catalogue, cleanse, and prepare business-critical data for migration. You will play a pivotal role in ensuring data integrity and successful migration through careful planning and coordination.

Key Responsibilities:

Data Collection & Collation: Work with stakeholders to gather and consolidate structured and unstructured data from OpenText and other sources.

Data Cataloguing: Develop and maintain a data inventory to document metadata, ownership, and categorization of business content.

Data Cleansing & Preparation: Analyze datasets for accuracy, completeness, and redundancy. Identify and resolve data quality issues in preparation for migration.

Migration Planning: Collaborate with IT teams to plan and coordinate the migration of data to SharePoint. Assist in developing mapping, validation, and transformation rules.

Documentation: Create detailed documentation of data processes, standards, and structures to support future data governance.

Stakeholder Communication: Act as a liaison between business units, IT, and external vendors to ensure alignment and clear understanding of migration objectives.

Reporting: Generate regular reports and dashboards to track progress, data quality metrics, and migration readiness.

Qualifications:

Proven experience as a Data Analyst, preferably in enterprise content management or system migration projects.

Strong understanding of data modelling, metadata management, and data lifecycle concepts.

Experience with SharePoint (Online or On-Premise) and familiarity with its data structure and permissions model.

Hands-on experience with OpenText or similar SaaS content platforms is a plus.

Proficiency in Excel, Power BI, or other data analysis and visualization tools.

Excellent analytical, communication, and stakeholder management skills.

Preferred Qualifications:

Experience in migration tools or scripting for data transformation (e.g., PowerShell, Python).

Knowledge of data governance and compliance frameworks.

Data Solutions Analyst

Hybrid

Salary Flexible

A leading UK organisation is seeking a Data Solutions Analyst to join their data function. This role blends hands-on technical capability with consultancy/vendor management, ensuring external partners deliver high-quality data solutions that align with business requirements.

The role involves acting as the bridge between business stakeholders and external consultancies, translating requirements into clear technical specifications.

Responsibilities

• Manage and quality-check offshore/third-party delivery, making sure outputs are accurate, scalable and add real value.
• Be hands-on when needed, using SQL, PySpark and Azure Data Factory to develop, test and refine data pipelines.
• Oversee reporting outputs in Power BI – ensuring data models are robust and dashboards meet business needs.
• Support the modernisation of the data platform and help embed best practice across reporting and analytics.

Qualifications

• Strong SQL skills, confident working with complex datasets.
• Knowledge of PySpark and Azure Data Factory (ADF).
• Experience with Power BI – data modelling, validation, and optimisation.
• Background managing or collaborating with consultancies/offshore delivery teams.
• Ability to create clear technical requirements and hold others to account on delivery.
• Strong communicator, able to balance hands-on technical work with influencing skills.

• Assist in the collection, cleaning, and organisation of data from various sources.
• Perform data analysis to identify trends, patterns, and anomalies.
• Support the creation of reports, dashboards, and visualisations using BI tools.
• Collaborate with senior team members to understand data requirements and deliver insights.
• Help in validating data accuracy and integrity.
• Contribute to the documentation of data processes and methodologies.
• Assist in the preparation of presentations to communicate findings to stakeholders.
• Learn and apply new analytical techniques and tools.
• Support ad-hoc data requests from different departments.

• A Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
• Basic understanding of statistical concepts and data analysis principles.
• Proficiency with spreadsheet software (e.g., Microsoft Excel) for data manipulation.
• Familiarity with SQL for data querying is highly desirable.
• Exposure to data visualization tools (e.g., Tableau, Power BI) is a plus.
• Strong analytical and problem-solving skills.
• 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 develop within a data-driven environment.

• Assist in the collection, cleaning, and preprocessing of data from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Support the creation and maintenance of reports and dashboards using data visualization tools.
• Write and optimize SQL queries to extract data from databases.
• Contribute to the development of data models and analytical solutions.
• Collaborate with senior analysts to interpret data and derive actionable insights.
• Assist in documenting data analysis processes and methodologies.
• Learn and apply new data analysis techniques and tools.
• Present findings and insights to the team in a clear and concise manner.

• Recent graduate with a degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis principles.
• Proficiency in at least one programming language for data analysis (e.g., Python, R).
• Familiarity with SQL for database querying.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent analytical and problem-solving skills.
• Strong attention to detail.
• Good communication and presentation skills.
• Ability to work independently and collaboratively in a remote setting.