At a Glance
- Tasks: Analyse data, create reports, and visualise insights for clients and stakeholders.
- Company: Dynamic company focused on data-driven solutions and sustainability.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on sustainability and innovation.
- Why this job: Make a real impact by turning data into actionable insights for businesses.
- Qualifications: Experience with BI tools and a passion for data analysis.
The predicted salary is between 30000 - 40000 £ per year.
The role focuses on liaising with clients to understand data content, gathering and documenting requirements, and delivering data-driven insights through reports and visualizations. The position also involves ensuring data quality, supporting business users, and understanding sustainability policies within projects.
Responsibilities
- Liaise with internal and external clients to fully understand data content.
- Gather, understand and document detailed requirements and interface contracts using appropriate tools and techniques.
- Manipulate, analyse and interpret complex data sets relating to the employer's business.
- Educate and support business users with their reporting needs.
- Prepare reports for internal and external audiences using business analytics reporting tools.
- Create dashboards, graphs and visualizations.
- Provide sector and competitor benchmarking.
- Mine and analyse large datasets, draw valid inferences and present them successfully to management using a reporting tool.
- Understand the Client and Joint Venture Partners' Environment and Sustainability Policies, Processes and statutory requirements as they affect the company's operations and ensure that the requirements, as applicable within their discipline, are implemented on the project.
- Monitor and audit data quality.
Qualifications
- Demonstrable experience in the development of reports and dashboards to a diverse set of stakeholders in a fast-paced environment.
- Highly skilled in mainstream BI tools (including but not limited to Power BI).
- Understand and promote data quality.
- Has knowledge or experience with Extract Transform Load (ETL).
- Has knowledge with Azure integration services.
Data Analyst employer: Strabag
As a Data Analyst at our company, you will thrive in a dynamic and collaborative work environment that prioritises innovation and sustainability. We offer comprehensive benefits, including professional development opportunities and a commitment to work-life balance, ensuring that you can grow your skills while contributing to meaningful projects that make a difference. Located in a vibrant area, our workplace fosters a culture of inclusivity and support, making it an excellent choice for those seeking a rewarding career in data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential employers on LinkedIn. The more people you know, the better your chances of landing that Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your reports, dashboards, and visualisations. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your data manipulation and analysis skills. Be ready to discuss how you've tackled complex datasets in the past and how you ensure data quality. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities waiting for talented Data Analysts like you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with BI tools, data manipulation, and any relevant projects that showcase your skills in delivering insights and reports.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data analysis and how your background aligns with our needs. Mention specific experiences where you've liaised with clients or created impactful visualisations.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in tools like Power BI and any ETL experience. We want to see how you’ve used these skills to solve real-world problems or improve data quality in past roles.
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 ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Strabag
✨Know Your Data Tools
Make sure you brush up on your skills with mainstream BI tools, especially Power BI. Be ready to discuss how you've used these tools in past projects and be prepared to showcase any dashboards or reports you've created.
✨Understand the Business
Familiarise yourself with the company's operations and their approach to sustainability. This will help you demonstrate that you not only understand data but also how it impacts the business and its goals.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems using data. Practice explaining your thought process clearly, as this will show your analytical skills and how you approach complex datasets.
✨Showcase Your Communication Skills
Since the role involves liaising with clients and educating business users, be ready to discuss how you've effectively communicated data insights in the past. Use examples that highlight your ability to translate complex data into understandable terms.
