At a Glance
- Tasks: Transform raw data into actionable insights and support strategic planning.
- Company: Join a dynamic IT Infrastructure team with a focus on innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Permanent role based in Liverpool or Manchester with hybrid working options.
- Why this job: Make a real impact by driving data-driven decisions in a collaborative environment.
- Qualifications: Experience in SQL, Power BI, Python, and modern data services required.
The predicted salary is between 33000 - 65000 £ per year.
Salary: £33,000 - 65,000 per year
Requirements
- Demonstrable previous experience in SQL DBA and Power BI.
- Experience with Microsoft Fabric, including Data Factory.
- Experience with Data Lake and Dataverse.
- Experience with Python and Google Looker Studio.
- Exposure to AI and modern data services.
- Strong experience with Microsoft SQL Server, including enterprise features such as availability groups.
- Solid SQL scripting and query skills.
- Experience designing and building interactive, dynamic Power BI dashboards.
- Experience with Windows Server and Windows Clustering.
- Working knowledge of networking and the networking stack.
- Valued experience with IIS.
- Valued ITIL v3 Foundation knowledge.
- Valued Microsoft Certified: Azure Foundation.
- Valued Microsoft Certified: Power BI Data Analyst Associate.
- Valued Microsoft Certified: Azure Enterprise Data Analyst Associate.
- Experience with SQL in public cloud services such as Azure.
Responsibilities
- Turn raw data into actionable insights.
- Support strategic planning and informed business decisions.
- Improve efficiency and help identify growth opportunities.
- Own services and support the implementation of new and improved services.
- Understand business requirements and help resolve business problems.
- Act as a point of escalation to desktop analysts.
- Provide high-level technical guidance for infrastructure-based service improvements.
- Act as a technical authority when assessing enhancement requests and recommending changes.
- Liaise with internal and external teams to deliver technical solutions.
- Consider the impact of technical solutions on cost and firm strategy.
- Provide specialist advice, guidance, and skills transfer to the Support Desk and other colleagues.
- Proactively identify issues and possible solutions and communicate them to the manager and customer as appropriate.
- Use and champion agreed delivery methodologies and tools, including change and release management.
- Work with the Finance Systems Team to complete monthly financial processes.
- Keep software updated with the latest cumulative and security patches.
- Implement role-based security by managing user logins and permissions.
- Maintain robust backup strategies.
- Plan, install, and configure new SQL instances based on stakeholder technical design.
Technologies
- AI
- Azure
- Business Intelligence
- Cloud
- Fabric
- Support
- ITIL
- Looker
- Power BI
- Python
- SQL
- Security
- Windows
We are an IT Infrastructure team supporting the wider IT Department and IT Services across our UK and international offices. Our role is closely aligned with ITIL v3 service delivery and has a strong focus on SQL and data services, particularly for finance and practice management, working closely with our Finance Systems Team. We are building out a revised data strategy over the next 12 to 18 months, with new technologies and services based on the Microsoft Fabric stack to support secure, scalable structured and unstructured data sources, AI-driven insights, and modern business intelligence. This is a permanent role based in Liverpool or Manchester, with two days a week on site.
Data Analyst in Manchester employer: Sivara GmbH
Join our dynamic IT Infrastructure team, where we prioritise innovation and employee development in a collaborative work environment. With a strong focus on modern data services and AI-driven insights, we offer competitive salaries, flexible working arrangements, and opportunities for professional growth, all while being based in the vibrant cities of Liverpool or Manchester. Experience a culture that values your contributions and supports your career aspirations as you help shape our data strategy for the future.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Manchester
✨Get Involved in Data Science Meetups
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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.
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We think you need these skills to ace Data Analyst in Manchester
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.
