At a Glance
- Tasks: Analyse and clean data to ensure accuracy and reliability for critical business processes.
- Company: Join a dynamic team focused on energy and data initiatives.
- Benefits: Gain valuable experience in data analysis with flexible working options.
- Other info: Opportunity to work independently while contributing to a collaborative team.
- Why this job: Make a real impact by improving data quality in a vital industry.
- Qualifications: Advanced Excel skills and experience with large datasets are essential.
The predicted salary is between 30000 - 40000 € per year.
Our client is seeking a detail-oriented Data Analyst to support a range of ongoing energy and data-focused initiatives. This role is heavily centred on Excel-based data analysis, with a primary focus on improving data quality, consistency, and accuracy. You will work with large volumes of customer and operational data, playing a key role in ensuring reliable datasets to support critical downstream processes across the business.
Key Responsibilities
- Extract, analyse, and manipulate data within Excel spreadsheets
- Perform extensive data cleaning and validation, addressing poor or inconsistent data quality
- Identify and resolve errors, anomalies, and data gaps
- Cross-reference and reconcile data across multiple sources
- Support migration from legacy systems to new platforms
- Produce clean, accurate datasets for reporting and operational use
- Work with customer data and meter-related information
- Support data accuracy for energy supply and smart meter processes
- Ensure data integrity to prevent downstream issues (e.g. incorrect records, billing/top-up errors)
Key Projects / Context
- Migration of data from a legacy system into a new platform
- Supporting implementation and integration of new systems (including clearing functions)
- Addressing inconsistent and unreliable datasets requiring significant cleansing
- Supporting high-volume data handling within an energy/utilities environment
Key Skills & Experience
- Essential
- Advanced Excel skills (core requirement), including:
- Data manipulation and cleansing
- Formulas, lookups, and reconciliation techniques
- Proven experience working with large datasets
- Strong attention to detail and accuracy
- Demonstrated experience in data validation and quality assurance
- Ability to identify, troubleshoot, and resolve data issues
- Desirable
- Experience supporting system migrations or working with legacy data
- Background in energy, utilities, or customer data environments
- Understanding of data reconciliation and cross-referencing processes
Key Attributes
- Highly detail-oriented with a methodical approach
- Strong problem-solving capability
- Comfortable working with imperfect or unstructured data
- Proactive in identifying issues and driving data improvements
- Able to work independently while contributing to an in-house team
This role focusses on data accuracy and preparation, rather than visualisation or reporting. Data issues currently impact key business processes, making this role critical to operational success. Emphasis is on "getting the data right" before any downstream use.
Data Analyst - Contract employer: Hays
Our client is an excellent employer, offering a dynamic work culture that prioritises data integrity and operational excellence within the energy sector. Employees benefit from a supportive environment that fosters professional growth through hands-on experience with large datasets and system migrations, all while contributing to meaningful projects that directly impact business success. Located in a vibrant area, the company provides unique opportunities for collaboration and innovation, making it an ideal place for detail-oriented individuals seeking rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Contract
✨Tip Number 1
Network like a pro! Reach out to people in the energy and utilities sector on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Brush up on your Excel skills! Since this role is all about data manipulation and cleaning, make sure you're comfortable with advanced functions. Maybe even create a mini-project to showcase your skills when you chat with potential employers.
✨Tip Number 3
Prepare for interviews by practising common data-related questions. Think about how you've tackled data quality issues in the past and be ready to share specific examples. We want to hear your problem-solving stories!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Data Analyst - Contract
Some tips for your application 🫡
Show Off Your Excel Skills:Since this role is all about advanced Excel skills, make sure to highlight your experience with data manipulation, formulas, and any cool tricks you’ve got up your sleeve. We want to see how you can tackle large datasets and improve data quality!
Be Detail-Oriented:Attention to detail is key for this position. When writing your application, give examples of how you've ensured data accuracy in the past. We love candidates who can spot errors and anomalies before they become a problem!
Talk About Your Problem-Solving Skills:This job requires a methodical approach to tackling data issues. Share specific instances where you identified and resolved data problems. We’re looking for proactive thinkers who can drive improvements in data quality!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and get to know you better. Don’t miss out on the chance to join our team at StudySmarter!
How to prepare for a job interview at Hays
✨Master Your Excel Skills
Since this role is heavily centred on Excel, make sure you brush up on your advanced Excel skills. Be prepared to discuss specific functions like VLOOKUP, pivot tables, and data validation techniques. Practising these beforehand will help you demonstrate your proficiency during the interview.
✨Showcase Your Attention to Detail
This position requires a strong focus on data quality and accuracy. During the interview, share examples of how you've identified and resolved data issues in the past. Highlight your methodical approach to data cleaning and validation, as this will show that you understand the importance of getting the data right.
✨Prepare for Data Scenarios
Expect to be asked about specific scenarios involving data manipulation and cleansing. Prepare by thinking through past experiences where you had to troubleshoot data inconsistencies or perform data reconciliation. Being able to articulate your thought process will impress the interviewers.
✨Understand the Business Context
Familiarise yourself with the energy and utilities sector, especially regarding customer data and smart meter processes. Showing that you understand the broader context of the role will demonstrate your enthusiasm and readiness to contribute to the team’s success.
