At a Glance
- Tasks: Input and maintain data, analyse for accuracy, and produce reports.
- Company: Family-run business in Yorkshire with a focus on innovation and animal welfare.
- Benefits: Free parking, onsite gym, subsidised canteen, and discounts at over 1000 retailers.
- Other info: Dynamic work environment with opportunities for growth and a supportive team.
- Why this job: Join a committed team and make a real impact on data integrity.
- Qualifications: Strong IT skills, experience with Excel, and excellent attention to detail.
The predicted salary is between 15.51 - 15.51 £ per hour.
Pay Rate: £15.51 per hour
Contract: Permanent
Location: Pontefract, WF8 3DD
Hours: Monday to Friday 5:45am to 2:45pm
We are a family business established in Yorkshire in 1997 based in Darrington just outside of Pontefract with a reputation for exceptional product, innovation, and industry leading animal welfare standards. Our facilities combine traditional British butchery technique with some of the best technological prowess in the food sector. A committed team of over 700 staff oversee the whole process from procuring the best possible livestock from our carefully picked group of farms, through butchery, retail packaging and despatch before it finally arrives on the supermarket shelf or as part of the restaurant dining experience.
About you:
- Strong IT skills with confidence using business systems.
- Previous experience using Microsoft Excel, including data entry and basic analysis.
- Excellent attention to detail and organisational skills.
- Strong communication skills with the ability to work effectively with multiple departments.
- Ability to prioritise workload and meet reporting deadlines.
- A proactive approach to identifying and resolving data issues.
What to expect:
- Collect data from the FOPS system.
- Accurately input and maintain data from FOPS.
- Analyse data to ensure information is correct, complete, and up to date.
- Produce and distribute daily and weekly reports on collected data.
- Work closely with teams across Dovecote to identify and resolve data discrepancies.
- Investigate data issues and support the implementation of solutions to improve data accuracy and reporting.
- Maintain high standards of data integrity and confidentiality.
Benefits:
- Free onsite parking
- Staff shop, with products as low as £1
- Onsite Gym open 24/7
- Subsidised canteen
- 3% Pension contribution
- Cycle to Work scheme
- Dovecote Rewards scheme where you’ll find discounts at over a 1000 Retailers.
- Yearly attendance bonus - (qualifying criteria)
Data Input Analyst in Pontefract employer: Dovecote Park Ltd
Dovecote is an exceptional employer located in Pontefract, offering a supportive family business environment that prioritises employee well-being and growth. With benefits such as a subsidised canteen, 24/7 onsite gym, and a rewarding pension scheme, we foster a culture of collaboration and innovation, ensuring our team members thrive both personally and professionally. Join us to be part of a dedicated workforce that values your contributions and provides opportunities for meaningful career development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Input Analyst in Pontefract
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We think you need these skills to ace Data Input 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 Dovecote Park Ltd, 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 Dovecote Park Ltd. 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 Dovecote Park Ltd
✨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 Dovecote Park Ltd!
✨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.
