155 Recent Graduate jobs in Merthyr Tydfil County Borough

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform data analysis using statistical techniques to identify trends, patterns, and insights.
• Develop reports, dashboards, and visualizations to communicate findings effectively to stakeholders.
• Support senior analysts in developing data models and predictive analytics.
• Collaborate with cross-functional teams to understand data needs and provide analytical support.
• Ensure data accuracy and integrity throughout the analysis process.
• Learn and apply various data analysis tools and software.
• Participate in team meetings and contribute to project discussions.
• Assist in documenting data processes and methodologies.

• Recent graduate 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 with a keen eye for detail.
• Proficiency in using spreadsheet software (e.g., Microsoft Excel) and basic understanding of databases.
• Familiarity with at least one programming language commonly used in data analysis (e.g., Python, R) is a plus.
• Basic knowledge of data visualization tools (e.g., Tableau, Power BI) is desirable.
• Excellent written and verbal communication skills.
• Ability to work independently and as part of a team in a remote setting.
• Eagerness to learn and develop new skills in data analysis and interpretation.

Graduates - Gain Experience - 12-month contract

Gain Valuable Experience: you will be working in a friendly and professional team, contributing to key business operations, and gaining a good understanding of customer service and administration within the manufacturing sector.

Develop You're Skills: develop core competencies in customer service, teamwork, and communication that are transferable to any career path you choose.

A Strong Foundation for Your Future: This experience will provide a significant boost to your CV and give you the confidence to take on your next professional challenge.

Your rewards:

• A salary of 25,000
• 25 holidays plus Bank Holidays, pension, etc.
• Hybrid working (3 days on site, 2 days from home).

Your typical day:

You will join the customer service team and handle a variety of tasks, including responding to customer email queries, making and receiving telephone calls and processing sales orders. You will gain exposure to a variety of popular business software applications.

Perfect for you if you have:

• Recently graduated from university
• Customer service experience
• Good general IT skills

Next Steps:

If you are a recent graduate looking to gain 12 months of experience with a growing company, please apply today. We are scheduling interviews shortly.

If you click 'Apply', we may contact you via email, phone & text message regarding this job, other jobs (current and future), and related recruitment services. You can OPT OUT at any time, full details in Privacy Policy, link (url removed) or find policy in Sigma website footer. Location & postcode of advert are approximate. If you don't hear from us within 14 days of application, you have not been shortlisted.

Graduates - Gain Experience - 12-month contract

Gain Valuable Experience: you will be working in a friendly and professional team, contributing to key business operations, and gaining a good understanding of customer service and administration within the manufacturing sector.

Develop You're Skills: develop core competencies in customer service, teamwork, and communication that are transferable to any career path you choose.

A Strong Foundation for Your Future: This experience will provide a significant boost to your CV and give you the confidence to take on your next professional challenge.

Your rewards:

• A salary of 25,000
• 25 holidays plus Bank Holidays, pension, etc.
• Hybrid working (3 days on site, 2 days from home).

Your typical day:

You will join the customer service team and handle a variety of tasks, including responding to customer email queries, making and receiving telephone calls and processing sales orders. You will gain exposure to a variety of popular business software applications.

Perfect for you if you have:

• Recently graduated from university
• Customer service experience
• Good general IT skills

Next Steps:

If you are a recent graduate looking to gain 12 months of experience with a growing company, please apply today. We are scheduling interviews shortly.

If you click 'Apply', we may contact you via email, phone & text message regarding this job, other jobs (current and future), and related recruitment services. You can OPT OUT at any time, full details in Privacy Policy, link (url removed) or find policy in Sigma website footer. Location & postcode of advert are approximate. If you don't hear from us within 14 days of application, you have not been shortlisted.

Job Summary

Zodiac Recruitment are looking to growour team and are keen to bring an additional Graduate Recruitment Consultant on board to join our small and dynamic company based near Swansea City Centre. If you are someone who ideally is educated to degree levelandlooking to progress their career, then we can give that opportunity for you to not only earn more but to progress your career to brand new heights and give you proper career progression. Our recent graduate took home 40k in their first full year!

Desired Qualities:

- Outgoing personality
- Good organisational skills
- Excellent communicationskills
- Happy to work with computers, email and phone
- Proactive attitude
- Self motivated

What's in it for you?

- Competitive salaries
- Uncapped monthly commission (OTE 30-40k in your first year alone)
- Quarterly bonuses
- Work from home opportunities
- Days out (we have been driving Ferraris, jetskiing,meeting Sports stars, Spa Days)
- A chance to work in a relaxed office with friendly staff

We firmly believe that the right job can change a person's life, and the right employee or colleague can transform a business. And ensuring that we make the right matches for our clients and candidates is down to how good we are on the inside. We look forward to hearing from you soon for this Graduate Recruitment Consultant role!

Mglichkeit fr talentierte und ambitionierte Wirtschafts- oder Naturwissenschaftsabsolventen mit Deutschkenntnissen, sich dem technischen Nachwuchsprogramm einer fhrenden internationalen Gruppe anzuschlieen. Warum Sie sich bewerben sollten: -

What's on Offer

Structured Training & Personal Development

Begin your career with a comprehensive two-year training programme designed to set you up for long-term success. You will benefit from tailored mentoring and a clear, structured development plan, ensuring you build the skills and confidence to progress quickly. Our client's commitment to your growth means you will always know your next step.

Attractive Salary & Benefits

• Start on 26,625, rising to 27,660 after six months, 28,695 after one year, and 30,250 after two years.
• Salary sacrifice pension
• 24 days of annual leave plus eight bank holidays.
• EV lease scheme,
• Cash healthcare plan

Work-Life Balance

After probation, benefit from an industry-leading flexi-time scheme that allows you to earn an extra day off each month. Achieve the balance you need to perform at your best, both at work and at home.

Cutting-Edge Technology & Innovation

Join a business at the forefront of technical innovation. You will collaborate with world-class scientists, engineers, and commercial specialists, gaining hands-on experience with advanced products and solutions. Your ideas and curiosity will be valued from the very beginning.

Your Role as a Graduate Technical Sales Specialist, German Speaking

• Undergo intensive training on the company's products and technologies at headquarters, gaining insight across the full product portfolio.
• Support the sales team by providing pre-sales expertise to new and prospective customers.
• Build and maintain customer relationships through regular outreach, gathering feedback and identifying new business opportunities.
• Use your German language skills to support activities in the DACH region, working closely with colleagues in Germany.
• In your second year, deepen your expertise in the technical sales process, assuming increased responsibility as your knowledge expands.

What You'll Need to Succeed

• Fluency in German (spoken and written).
• A degree in business, science or languages.
• A proactive, inquisitive mindset and a passion for both business and personal development.
• Excellent communication skills and a genuine passion for working with customers.

About the Company

This global organisation, with four international subsidiaries, is known for its supportive culture and exceptionally low staff turnover. Employees benefit from a stable and forward-thinking environment where career development is a top priority. You will be joining a team that values collaboration, innovation, and long-term success.

Ready to Start Your Career?

If you're looking for a graduate opportunity where you can make a real impact, grow your career, and utilise your German language skills, apply today. Take the first step towards a rewarding future with a business that will invest in you every step of the way.

If you click 'Apply', we may contact you via email, phone & text message regarding this job, other jobs (current and future), and related recruitment services, under legitimate interest. You can OPT OUT at any time, full details in Privacy Policy, link (url removed) or find policy in Sigma website footer. Location & postcode of advert are approximate. If you don't hear from us within 14 days of application, you have not been shortlisted.

• Assist in the collection and organization of data from various sources.
• Perform data cleaning and preparation to ensure accuracy and consistency.
• Conduct exploratory data analysis to identify trends and patterns.
• Generate reports and visualizations to communicate findings to stakeholders.
• Support senior analysts in developing predictive models and analytical solutions.
• Collaborate with different departments to understand their data needs and provide relevant insights.
• Learn and apply statistical methods and data mining techniques.
• Contribute to the maintenance and improvement of our client's data infrastructure.
• Assist in ad-hoc data requests and research projects.
• Participate in team meetings and training sessions to enhance analytical skills.

• A recent degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
• Strong analytical and problem-solving skills.
• Familiarity with data analysis tools and techniques.
• Basic knowledge of SQL and Excel is required.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• A proactive attitude and eagerness to learn.
• Ability to work effectively both independently and as part of a team.
• This role is based in our **Cardiff, Wales, UK** office and requires a commitment to in-office work.

• Assist in collecting, cleaning, and pre-processing large datasets from various sources.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Develop and implement statistical models and machine learning algorithms under supervision.
• Assist in validating model performance and interpreting results.
• Contribute to the creation of data visualizations and reports to communicate findings.
• Collaborate with senior data scientists and stakeholders on project tasks.
• Learn and apply best practices in data science methodologies and tools.
• Participate in code reviews and contribute to the development of robust analytical pipelines.
• Stay updated on the latest advancements in data science and artificial intelligence.
• Support the documentation of data science processes and findings.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering, or a related quantitative field.
• Strong understanding of statistical concepts and machine learning principles.
• Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
• Familiarity with SQL for data querying and manipulation.
• Excellent analytical and problem-solving skills.
• A keen interest in data and its potential to drive business value.
• Strong communication and interpersonal skills, with the ability to work effectively in a team.
• Proactive attitude and a willingness to learn and adapt.
• Previous internship or project experience in data analysis or data science is a plus.
• Familiarity with data visualization tools (e.g., Tableau, Matplotlib, Seaborn) is advantageous.

• Collect, clean, and process large and complex datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop, test, and implement statistical models and machine learning algorithms.
• Build predictive models and recommend actions based on data insights.
• Design and create compelling data visualizations and reports to communicate findings.
• Collaborate with cross-functional teams to understand their data needs and challenges.
• Contribute to the development and maintenance of data pipelines and infrastructure.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
• Assist in the evaluation and selection of appropriate analytical tools and techniques.
• Present findings and recommendations to stakeholders in a clear and concise manner.

• A recent Bachelor's or Master's degree (or PhD) in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Physics, or Economics.
• Strong understanding of statistical concepts and modeling techniques.
• Familiarity with machine learning algorithms (e.g., regression, classification, clustering, deep learning).
• Proficiency in programming languages commonly used in data science, such as Python or R.
• Experience with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Knowledge of SQL for database querying.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, capable of explaining technical concepts to non-technical audiences.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.