At a Glance
- Tasks: Support data collection, analysis, and reporting for the Smart Metering Programme.
- Company: Join a dynamic team focused on data quality and operational excellence.
- Benefits: Competitive salary, structured learning, and hands-on experience in data analysis.
- Other info: Collaborative environment with opportunities for growth and development.
- Why this job: Kickstart your data career with training in SQL, Power BI, and real-world projects.
- Qualifications: Strong attention to detail, good Excel skills, and a proactive attitude.
The predicted salary is between 18000 - 30000 £ per year.
Salary: £18,000 - 30,000 per year
Requirements
- We are looking for someone early in their data career who is eager to learn and build experience in data analysis.
- Strong attention to detail and a methodical, accurate approach to work.
- Confident communicator who can engage with both field-based and office-based teams.
- Proactive person willing to investigate issues and suggest solutions.
- Strong organisational skills with the ability to prioritise tasks effectively.
- Positive attitude and a collaborative approach as a team player.
- Good working knowledge of Microsoft Excel, including basic formulas; advanced skills are beneficial.
- Strong numerical and analytical mindset.
- Willingness to undertake training in SQL, Power BI, and other analytical tools.
- Comfort working with technology, digital systems, and datasets.
- Full UK driving license.
Responsibilities
- Support our Data & Performance team in collecting, analysing, and maintaining data for the Smart Metering Programme.
- Assist in collecting and validating data from field teams, subcontractors, and internal systems.
- Maintain accurate records relating to meter installations, replacements, aborts, and exceptions.
- Support reconciliation of operational data with planning, commercial reporting, and client requirements.
- Identify data inconsistencies and work with relevant teams to resolve issues promptly.
- Support the preparation of daily, weekly, and monthly KPI reports.
- Assist in building dashboards and visuals using Excel and/or Power BI.
- Monitor programme trends such as productivity, success rates, compliance, and turnaround times.
- Help prepare information for internal reviews, client meetings, and commercial submissions.
- Work with internal systems, apps, and databases used across the Smart Metering Programme.
- Develop data extraction skills.
- Assist with process improvements and automation of routine reporting tasks where possible.
- Collaborate with Compliance teams to ensure all job records, photos, and evidence are captured and auditable.
- Support analysis of failed jobs, exceptions, and non-compliance trends.
- Work with operational teams to ensure accurate data is captured at source.
- Engage with Delivery Managers, Supervisors, Planners, and Subcontractors regarding data accuracy.
- Support internal teams with ad hoc data requests or analysis tasks.
- Contribute to team meetings and share findings or insights when required.
Technologies
- Excel
- Power BI
- SQL
More
This is a permanent, full-time role working Monday to Friday, 08:00 to 17:00, and is designed for someone at the start of their data career. You will join our Data & Performance team and gain structured learning and hands-on experience across operational, commercial, compliance, planning, and reporting activities. We offer the opportunity to develop your analytical skills, learn tools such as SQL and Power BI, and contribute to accurate reporting and performance improvements that support programme delivery. You will work closely with our Compliance, Planning, Delivery, Commercial, and Subcontractor teams in a collaborative environment focused on data quality, insight, and operational excellence.
Trainee Data Analyst employer: Sivara GmbH
Join our dynamic team as a Trainee Data Analyst in Brentwood, Essex, where you'll embark on a rewarding journey in data analysis. We pride ourselves on fostering a collaborative work culture that encourages continuous learning and professional growth, offering structured training in SQL and Power BI. With a focus on operational excellence and data quality, you'll have the unique opportunity to contribute to impactful projects while working alongside experienced professionals in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Trainee Data Analyst
✨Get in on the Data Science Meetups
Data science is all about community! Join local meetups or workshops related to data science and analytics. It's a fab way to network with industry professionals, learn about the latest trends, and maybe even snag a lead on an upcoming opportunity at companies like Sivara GmbH.
✨Show Off Your Projects
As a trainee, showcasing your skills is key. Start a GitHub repository with your projects or analytics problems you've solved. Share them on platforms like Kaggle, and make sure to link them on your LinkedIn. Potential employers, including Sivara GmbH, love seeing hands-on experience!
✨Connect with Alumni
Tap into your university's alumni network! Reach out to past graduates who are working in data science roles and see if they'd be willing to chat. They often have great insights into internship openings and can even refer you internally, increasing your chances with companies like Sivara GmbH.
✨Find Internships through Portals and Workshops
Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including Sivara GmbH, often scout for trainee talent at these events. Plus, applying directly through job portals and company websites can give you an edge!
We think you need these skills to ace Trainee Data Analyst
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!
Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so Sivara GmbH can see your code and your thought process. Practical experience, even if it's academic, can set you apart!
Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at Sivara GmbH and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.
Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!
How to prepare for a job interview at Sivara GmbH
✨Show Off Your Data Skills
Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.
✨Prepare for Practical Assessments
Don't be surprised if you're given a case study or data set to analyse during the interview. We should be prepared to demonstrate how we interpret and present data findings — it's a chance to show off our analytical thinking in real time!
✨Highlight Your Passion for Learning
As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells Sivara GmbH that we’re eager to grow and develop our skills in this exciting field.
✨Ask Insightful Questions
Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into Sivara GmbH’s culture and workflow.
