At a Glance
- Tasks: Design and maintain Power BI dashboards while optimising data models.
- Company: Join a dynamic team in a hybrid role at a forward-thinking company.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: We celebrate diversity and welcome applicants from all backgrounds.
- Why this job: Shape data infrastructure and drive impactful business decisions with your insights.
- Qualifications: Experience in data analysis, strong Power BI and SQL skills required.
The predicted salary is between 60000 - 70000 £ per year.
Salary: £60,000 - £70,000 per year
Requirements:
- Proven experience in a Data Analyst, Data Specialist, BI Analyst, or similar role.
- Strong Power BI, SQL, and DAX skills.
- Experience working with data warehouses and centralised reporting environments.
- Excellent analytical and problem-solving abilities.
- Confident communicating insights to both technical and non-technical stakeholders.
- Degree qualified in a relevant discipline, or equivalent practical experience.
- Microsoft Power BI or SQL certifications are desirable.
- Experience with ETL processes and data integration is desirable.
- Exposure to data warehouse design and optimisation is desirable.
Responsibilities:
- Design, build, and maintain Power BI dashboards and reports.
- Develop and optimise data models and advanced DAX calculations.
- Extract, transform, and prepare data using SQL.
- Support and maintain our data warehouse and reporting environment.
- Ensure data accuracy, integrity, and performance across reporting solutions.
- Partner with stakeholders to understand requirements and deliver actionable insights.
- Present data-driven recommendations to senior leadership teams.
Technologies: Data Warehouse, DAX, ETL, Power BI, SQL
We are seeking a proactive and commercially minded Data Specialist to join our growing team in Hinckley, working in a hybrid arrangement. This is a fantastic opportunity to play a key role in shaping our reporting, analytics, and data infrastructure, helping to drive informed business decisions through accurate, accessible, and insightful data. The role offers a blend of front-end reporting and back-end data management, making it ideal for someone who enjoys developing impactful Power BI dashboards while also managing and enhancing a centralised data warehouse environment. We are an inclusive employer and welcome applicants from all backgrounds, experiences, and abilities, and we are proud to be disability confident.
Data Specialist in Hinckley employer: Sivara GmbH
Join our dynamic team in Hinckley as a Data Specialist, where you will thrive in a supportive and inclusive work culture that values diversity and innovation. We offer competitive salaries, opportunities for professional growth, and the chance to make a significant impact on our data infrastructure while enjoying a hybrid work arrangement. With a focus on employee development and a commitment to fostering a collaborative environment, we empower our staff to excel and contribute meaningfully to our business objectives.
StudySmarter Expert Advice🤫
We think this is how you could land Data Specialist in Hinckley
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Sivara GmbH!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Specialist at Sivara GmbH.
✨Leverage Professional Networks
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 Sivara GmbH.
✨Apply Directly through Our Website
When you find a suitable opening like Data Specialist at Sivara GmbH, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Specialist in Hinckley
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 Sivara GmbH, 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 Sivara GmbH. 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 Sivara GmbH
✨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 Sivara GmbH!
✨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.
