Data Analyst

Data Analyst

Doncaster Full-Time 28800 - 48000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse data to support customer needs and improve operations.
  • Company: Join Maersk, a leader in global logistics and supply chain solutions.
  • Benefits: Enjoy a diverse workplace with opportunities for training and development.
  • Why this job: Be part of a team that values diversity and drives impactful change.
  • Qualifications: Experience in data analysis, Microsoft Excel, and Power BI required.
  • Other info: We welcome applicants from all backgrounds and provide support during the hiring process.

The predicted salary is between 28800 - 48000 ÂŁ per year.

At Maersk we have a vision that’s larger than the ocean: to be a true integrator of container logistics connecting and simplifying our customers’ supply chain through global end-to-end solutions. We count on our people to make it happen. At Maersk we value the diversity of our talent and will always strive to recruit the best person for the job – we value diversity in all its forms, including but not limited to: gender, age, nationality, race, sexual orientation, disability or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high performing teams. Are you an experienced Data Analyst? We are looking to recruit a Data Analyst to drive and deliver customer focused data analysis to support and develop the local operation and customer needs. The Data Analyst will…. Communicatingwithinternal clients and third parties Use of internal systems to provide analysis of trends, risks and opportunities. Provide expertise,solutioning,leadership, and training in the use of Maersk SCM operating applications / platforms. Support system implementation / application demonstrations where required. To provide best practice initiatives seeking out or supporting system efficiencies. Leading with regular and ad-hoc tasks, depending on the project and customer requirements. Understanding of agreed customer and internal KPIs and work with the IM Team to ensure results meet or exceed in all areas Support financial reporting and capture of operational volumes and productivities Support operational data capture and creating relevant analysis documentation for the customer and internal use Creating and development of power BI reports Presenting of data analysis to the customer and internal stakeholders To communicate with employees and other managers in an effective and respectful manner. Assist with other clerical and operational duties as and when required. Attendance of all training programmes provided in line with the needs of the role. The ability to enforce/apply the skills provided is paramount. Technical skills: Good working experience in Microsoft Office specifically “Excel” Good knowledge of the relevant WMS Experience of working with Power BI reporting Ideally in a Warehousing/Logisticsenviroment Soft skills: Communication at all levels Experience of presenting data analysis to internal and external stakeholders Ensure timely and accurate reporting is delivered Co-ordination and communication with multiple stakeholders Assist in the achievement of customer Key Performance Indicators (KPI’s) Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com . #J-18808-Ljbffr

Data Analyst employer: Maersk

At Maersk, we pride ourselves on being an exceptional employer, offering a dynamic work culture that champions diversity and inclusion. As a Data Analyst, you will have the opportunity to grow your skills in a supportive environment while contributing to innovative logistics solutions that connect global supply chains. With access to comprehensive training programmes and a commitment to employee development, Maersk is dedicated to fostering your professional journey in a role that truly makes an impact.
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Contact Detail:

Maersk Recruiting Team

accommodationrequests@maersk.com

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst

✨Tip Number 1

Familiarise yourself with Maersk's core values and mission. Understanding their vision of connecting and simplifying supply chains will help you align your answers during interviews and demonstrate your commitment to their goals.

✨Tip Number 2

Brush up on your Power BI skills, as this role requires creating and developing reports. Consider building a portfolio of sample reports that showcase your analytical abilities and how you can present data effectively.

✨Tip Number 3

Network with current or former employees of Maersk on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations for the Data Analyst role.

✨Tip Number 4

Prepare to discuss specific examples of how you've used data analysis to drive business decisions in previous roles. Highlighting your experience with KPIs and operational efficiencies will resonate well with the hiring team.

We think you need these skills to ace Data Analyst

Data Analysis
Microsoft Excel
Power BI
Communication Skills
Stakeholder Management
Trend Analysis
Risk Assessment
Operational Efficiency
Financial Reporting
KPI Monitoring
Presentation Skills
Problem-Solving Skills
Attention to Detail
Team Collaboration
Adaptability

Some tips for your application 🫡

Understand the Role: Read the job description thoroughly to understand the key responsibilities and required skills for the Data Analyst position at Maersk. Tailor your application to highlight your relevant experience in data analysis, communication, and reporting.

Highlight Technical Skills: Make sure to emphasise your proficiency in Microsoft Excel and Power BI, as these are crucial for the role. Provide specific examples of how you've used these tools in previous positions to analyse data and present findings.

Showcase Soft Skills: Maersk values effective communication and collaboration. Include examples in your application that demonstrate your ability to communicate with various stakeholders and present data analysis clearly and respectfully.

Tailor Your CV and Cover Letter: Customise your CV and cover letter to reflect the values and diversity commitment of Maersk. Mention any experiences that align with their focus on inclusivity and teamwork, and ensure your documents are free from errors before submission.

How to prepare for a job interview at Maersk

✨Showcase Your Analytical Skills

As a Data Analyst, your ability to analyse data is crucial. Be prepared to discuss specific examples of how you've used data analysis to drive decisions or improve processes in previous roles. Highlight your experience with tools like Excel and Power BI.

✨Communicate Effectively

Communication is key in this role, especially when presenting data to stakeholders. Practice explaining complex data insights in simple terms. Be ready to demonstrate how you can tailor your communication style to different audiences.

✨Understand the Company’s Values

Maersk values diversity and inclusion, so it’s important to show that you align with these principles. Research their commitment to diversity and think about how your own experiences contribute to a diverse workplace.

✨Prepare for Technical Questions

Expect technical questions related to data analysis and reporting. Brush up on your knowledge of relevant systems and methodologies. Be ready to discuss how you would approach specific data challenges that Maersk might face.

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