At a Glance
- Tasks: Analyse data and create insightful reports to improve operations across the business.
- Company: Join a dynamic team at our E3 Warehouse with a focus on service improvement.
- Benefits: Earn £13.33ph plus shift premiums, with opportunities for growth and learning.
- Other info: Work independently or as part of a team in a fast-paced environment.
- Why this job: Make a real impact by providing data-driven insights to senior stakeholders.
- Qualifications: Experience in data analysis, strong Excel skills, and ability to engage with stakeholders.
The predicted salary is between 13.33 - 13.33 £ per hour.
- Description
- Based at our E3 Warehouse
- Shifts available: Wed/Thur - Sat 1800-0600
The role
We are looking for a data driven, confident decision maker to join our team working in the Service Improvement team, as an Analyst.
You will be responsible for providing all senior stakeholders with regular and ad hoc reports, analysing service performance, producing reports, and providing insights that help improve operations across the business.
What you will take on
- Create reports for all service related metrics across NDL, & hold weekly conversations with relevant stakeholders.
- Picking up any ad hoc queries relating to service, ensuring solutions are found.
- Reviewing and reporting on team member error rates.
- Compiling the weekly service pack, consisting of service levels across all departments & highlighting improvement opportunities.
- Automating tasks through formulas, queries or scripts wherever possible to reduce repetitive manual tasks
- Providing senior stakeholders from all departments with data and analytical insights that help make key decisions across the business.
- Ability to engage with stakeholders, and build strong working relationships
- Sound knowledge of all management policies for warehouse operatives
- Strengthening the analysis and reporting of current service data to support decision making around service initiatives.
- Create Service Snapshot dashboard report for each team on site.
- Support managers with ad hoc data requirements.
What you will bring
- Ability to plan and prioritise own workload, working to tight timescales
- Ability to work independently or as part of a team
- Good personal time management skills and awareness of how to use time efficiently to meet deadlines
- Ability to critically analyse data and provide recommendations to support the senior management team.
- Technical skills and expertise working with datasets across different sources and formats
- Subject matter expert
- Stays up to date with all the latest data science technologies
- Experience with databases and data analysis
- Advanced knowledge of Excel or Google Sheets equivalent
- Previous Business Intelligence and data analysis experience.
- Strong data visualisation skills - ability to simplify complex information and present trends and key performance indicators for decision makers.
- A great work ethic, namely; a motivated team player with a positive attitude towards taking on new challenges.
- Use of Business Intelligence packages and software e. g. Microsoft Power BI, Tableau, SQL report writing tools
- Calm under pressure and ability to work to short deadlines
- Proactively identifying opportunities for innovation
- Focused on continuous learning and growth within the role
Work Flow Information Analyst in Pontefract employer: Next Careers
At NEXT, we pride ourselves on being an exceptional employer, offering a dynamic work environment at our DVP Warehouse in Rotherham. With a strong focus on employee development, we provide comprehensive training and ongoing support to ensure you thrive as an Operations Leader. Our culture promotes teamwork, safety, and performance excellence, making it a rewarding place to build your career while enjoying competitive pay and shift premiums.
StudySmarter Expert Advice🤫
We think this is how you could land Work Flow Information Analyst in Pontefract
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Next Careers.
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We think you need these skills to ace Work Flow Information Analyst in Pontefract
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Next Careers, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Next Careers. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Next Careers
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Next Careers!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
