What Jobs are available for Data Analysts in West Midlands?

Data Analyst – Supply chain 
Birmingham (Hybrid)
£34,000 - £36,000 + bonus 5-7%, Pension, Sharesave, Health Cash Plan, Life Assurance

Do you have a passion for turning data into decisions?
Are you ready to be the analytical engine driving strategic growth across an exciting European retail operation?

We’re looking for an experienced Data Analyst who will play a pivotal role in shaping the future of our supply chain performance. It's a new role for the company and you will be working in a dynamic and collaborative environment, you’ll gather and interpret complex datasets, uncover trends, and deliver visually engaging reports that empower leaders to make smarter decisions, faster.

What you’ll be doing:

•    Collecting, validating, and analysing data from theEuropean supply chain ensuring accuracy and integrity.
•    Producing insightful reports and dashboards to track KPIs and identify opportunities for improvement.
•    Solving operational challenges through root-cause analysis and data-driven recommendations.
•    Collaborating with stakeholders across Northern Europe to enhance service delivery and supply chain efficiency.
•    Driving continuous improvement and contributing to strategic projects.

What we’re looking for:

•    Exceptional analytical skills with a problem-solving mindset.
•    Advanced Excel skills (pivot tables, charts, lookups, formulas).
•    Strong communication skills – able to bring data to life for a variety of audiences.
•    High attention to detail and accuracy.
•    Self-motivated with an enquiring mindset, adaptable, and comfortable working independently.
•    Experience in using SQL and database knowledge is a plus, but not essential.

Why join us?

• A role with real impact on business performance and customer satisfaction.
• Working for a global market leader
• Hybrid working flexibility.
• Opportunities for career progression as the role develops.
• A collaborative culture that values innovation and continuous improvement.

If you’re ready to turn data into actionable insights that shape the future of retail service delivery, apply today and take the next step in your career.

The team at Plum Personnel are totally committed to customer service and the principles of equality and diversity in recruitment and employment.

Your application will be carefully consider in line with the skills, experience, knowledge and achievements appropriate and relevant to the job advertised and other similar roles that may be suited.

You will be contacted by Plum Personnel within 48-hours of your job application if you are selected. 
If you do not hear from us within this timeframe it means your application for this job has not been successful on this occasion.

We cannot retain your details in line with GDPR so do please respond to future job roles of interest.

Data Analyst – Supply chain 
Birmingham (Hybrid)
£34,000 - £36,000 + bonus 5-7%, Pension, Sharesave, Health Cash Plan, Life Assurance

Do you have a passion for turning data into decisions?
Are you ready to be the analytical engine driving strategic growth across an exciting European retail operation?

We’re looking for an experienced Data Analyst who will play a pivotal role in shaping the future of our supply chain performance. It's a new role for the company and you will be working in a dynamic and collaborative environment, you’ll gather and interpret complex datasets, uncover trends, and deliver visually engaging reports that empower leaders to make smarter decisions, faster.

What you’ll be doing:

•    Collecting, validating, and analysing data from theEuropean supply chain ensuring accuracy and integrity.
•    Producing insightful reports and dashboards to track KPIs and identify opportunities for improvement.
•    Solving operational challenges through root-cause analysis and data-driven recommendations.
•    Collaborating with stakeholders across Northern Europe to enhance service delivery and supply chain efficiency.
•    Driving continuous improvement and contributing to strategic projects.

What we’re looking for:

•    Exceptional analytical skills with a problem-solving mindset.
•    Advanced Excel skills (pivot tables, charts, lookups, formulas).
•    Strong communication skills – able to bring data to life for a variety of audiences.
•    High attention to detail and accuracy.
•    Self-motivated with an enquiring mindset, adaptable, and comfortable working independently.
•    Experience in using SQL and database knowledge is a plus, but not essential.

Why join us?

• A role with real impact on business performance and customer satisfaction.
• Working for a global market leader
• Hybrid working flexibility.
• Opportunities for career progression as the role develops.
• A collaborative culture that values innovation and continuous improvement.

If you’re ready to turn data into actionable insights that shape the future of retail service delivery, apply today and take the next step in your career.

The team at Plum Personnel are totally committed to customer service and the principles of equality and diversity in recruitment and employment.

Your application will be carefully consider in line with the skills, experience, knowledge and achievements appropriate and relevant to the job advertised and other similar roles that may be suited.

You will be contacted by Plum Personnel within 48-hours of your job application if you are selected. 
If you do not hear from us within this timeframe it means your application for this job has not been successful on this occasion.

We cannot retain your details in line with GDPR so do please respond to future job roles of interest.

• Collect, clean, and preprocess data from various sources.
• Perform statistical analysis to identify trends and patterns.
• Develop reports and visualizations to communicate findings.
• Assist in the development of dashboards and key performance indicators (KPIs).
• Collaborate with stakeholders to understand data requirements.
• Support data-driven decision-making across the organization.
• Maintain data integrity and accuracy.

• Bachelor'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 extraction and manipulation.
• Experience with at least one statistical programming language (e.g., Python, R).
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Excel).
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication skills.
• Ability to work independently in a remote setting.

• Assist in the collection and cleaning of data from various sources.
• Learn to use data analysis tools and software to identify trends and patterns.
• Support the team in creating reports and visualizations to present findings.
• Participate in data modeling and statistical analysis projects under supervision.
• Gain exposure to database management and data warehousing concepts.
• Understand business requirements and translate them into data-driven solutions.
• Contribute to projects aimed at improving data quality and integrity.
• Shadow senior analysts and learn their methodologies and techniques.
• Develop a foundational understanding of programming languages relevant to data analysis (e.g., SQL, Python).
• Engage in continuous learning and professional development through assigned coursework and workshops.

• A strong aptitude for numbers and analytical thinking.
• A keen interest in data and technology.
• Excellent attention to detail and accuracy.
• Good communication skills, both written and verbal.
• Eagerness to learn and a proactive attitude.
• Ability to work effectively as part of a team.
• Minimum of 5 GCSEs (or equivalent) including Maths and English.
• Passion for developing a career in data analytics.
• No prior professional experience required, but a relevant BTEC or A-Level is a plus.
• Resilience and determination to complete the apprenticeship program.

• Assist in the collection and compilation of data from various sources.
• Perform data cleaning and pre-processing to ensure data accuracy and integrity.
• Conduct exploratory data analysis to identify trends, outliers, and key patterns.
• Develop and generate regular reports and dashboards to visualize data insights.
• Support senior analysts in designing and executing data analysis projects.
• Communicate findings clearly and concisely to technical and non-technical stakeholders.
• Assist in the development and maintenance of databases and data management systems.
• Learn and apply statistical methods and modeling techniques to solve business problems.
• Collaborate with cross-functional teams to understand their data requirements.
• Contribute to the continuous improvement of data collection and analysis processes.
• Ensure data privacy and security compliance.

• A Bachelor's degree in Mathematics, Statistics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and principles.
• Proficiency in data analysis tools such as Excel, SQL, and at least one programming language (e.g., Python or R).
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and commitment to data accuracy.
• Good communication and interpersonal skills, with the ability to explain complex data concepts.
• Ability to work effectively as part of a team.
• Eagerness to learn and adapt to new technologies and methodologies.
• Previous internship experience in data analysis or a related field is beneficial but not required.

• Assist in the collection, cleaning, and organization of data from various sources.
• Support the team in generating reports and dashboards to visualize data trends.
• Learn to identify patterns and insights within datasets.
• Contribute to data validation processes to ensure accuracy.
• Gain hands-on experience with data analysis tools and software.
• Shadow experienced data analysts and learn best practices.
• Help prepare presentations and summaries of data findings for internal stakeholders.
• Understand data governance principles and ensure compliance.
• Participate in team meetings and contribute ideas for data improvement.
• Develop foundational knowledge in statistics and data interpretation.

• A recognized qualification in Data Analysis upon completion of the apprenticeship.
• Hands-on experience in a professional data-driven environment.
• Mentorship from experienced data professionals.
• Exposure to a wide range of data analysis techniques and tools.
• Valuable workplace skills, including communication, teamwork, and problem-solving.
• Potential for future career advancement within the company.
• The opportunity to contribute to meaningful projects.

• A passion for data and a strong desire to learn.
• Good analytical and problem-solving aptitude.
• Basic proficiency with computers and common software (e.g., Microsoft Office).
• Excellent communication skills, both written and verbal.
• Ability to work collaboratively as part of a team.
• Minimum of GCSEs or equivalent in Maths and English (Grades 9-4/A-C).
• Must be eligible to work in the UK and not already hold a degree qualification.

• Assist in the collection, cleaning, and pre-processing of large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and implement data models and algorithms to solve business problems.
• Create clear and concise data visualisations and reports to communicate findings to stakeholders.
• Collaborate with cross-functional teams to understand their data needs and provide analytical support.
• Contribute to the development of data governance policies and procedures.
• Stay up-to-date with the latest trends and technologies in data analytics.
• Support senior analysts in ad-hoc data requests and projects.
• Ensure data accuracy and integrity throughout all analytical processes.
• Participate in team meetings and contribute to a collaborative working environment.

• 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 with a keen attention to detail.
• Proficiency in at least one programming language commonly used in data analysis, such as Python or R.
• Familiarity with SQL for data extraction and manipulation.
• Basic understanding of statistical concepts and methods.
• Excellent communication and interpersonal skills, with the ability to explain complex data insights to non-technical audiences.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work independently and as part of a team.
• Previous internship or project experience in data analysis is a plus, but not essential.
• Demonstrated passion for data and its potential to drive business value.

• Assist in the collection, cleaning, and organisation of large datasets from various sources.
• Perform data analysis using statistical techniques to identify trends, patterns, and anomalies.
• Develop and maintain reports, dashboards, and visualisations to communicate findings effectively.
• Support senior analysts and business stakeholders in understanding data-driven insights.
• Identify areas for data improvement and contribute to the development of data quality processes.
• Assist in the creation and maintenance of databases and data models.
• Collaborate with different departments to understand their data needs and provide relevant analytical support.
• Utilise data analysis tools and software (e.g., Excel, SQL, Tableau/Power BI) to perform tasks.
• Contribute to the continuous improvement of data analysis methodologies and tools.
• Ensure data accuracy and integrity throughout the analysis process.

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
• Strong understanding of statistical concepts and data analysis techniques.
• Proficiency in Microsoft Excel, including advanced functions (e.g., VLOOKUP, Pivot Tables).
• Basic knowledge of SQL for data extraction and manipulation is desirable.
• Familiarity with data visualisation tools (e.g., Tableau, Power BI) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong attention to detail and commitment to data accuracy.
• Good communication and interpersonal skills, with the ability to explain technical concepts clearly.
• Ability to work effectively both independently and as part of a team.
• Eagerness to learn and develop new skills in data analytics.