At a Glance
- Tasks: Develop data solutions and collaborate on exciting projects with a talented team.
- Company: Join Solirius, a forward-thinking company that values diversity and innovation.
- Benefits: Enjoy competitive salary, private healthcare, flexible working, and generous leave.
- Other info: Great opportunities for professional growth and a supportive workplace culture.
- Why this job: Make a real impact using your analytical skills in a dynamic environment.
- Qualifications: Experience in Data Analytics, BI tools, and Agile development is essential.
The predicted salary is between 40000 - 50000 £ per year.
About You
You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you’re comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values.
The Role
We are looking for an experienced Data Analyst to join our team here at Solirius. You will be working as part of a team, developing and delivering exciting projects with a fantastic team of technology experts. You will be a fundamental part of the team and will be an expert in your field/specialism.
Requirements
- Develop data solutions for our clients/projects
- Diagnostics and Analysis for complex technical projects
- Working collaboratively with the client and understanding their requirements
- Working with a range of technical professionals to reach a desired outcome, including designing and delivering technical solutions.
Key Skills/Experience
- Extensive experience of Data Analytics and Data Science with the ability to use BI tools like Power BI, Tableau etc.
- Extensive knowledge of Performance Analytics and tooling such as Google Analytics, Google Tag Manager, Amplitude etc.
- Experience in capturing requirements and Governance & Control documentation, knowledge of GDS is an added advantage
- Applied experience of metadata analysis, fields/entity, and data lineage, sql/ no sql databases
- Experience with one of Azure/AWS/GCP
- ETL tools like Informatica, Alteryx and Business Glossary tools like Collibra, Azure Purview or Apache Atlas.
- TDD/BDD, Experience working in an Agile development environment
- Identity management and synchronisation will be an add on for the resources
- Experience with Data Dictionaries, Business glossaries would be an advantage
Benefits
- Competitive Salary
- Bonus Scheme
- Private Healthcare Insurance
- 25 Days Annual Leave + Bank Holidays
- Up to 10 days allocated for development training per year
- Enhanced Parental Leave
- Paid Fertility Leave (5 Days)
- Statutory & Contributory Pension
- EAP with Gym Membership Benefits
- Flexible Working
- Annual Away Days/Company Socials
Equality & Diversity
Solirius Consulting is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages, and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.
Data Analyst employer: 慨正橡扯
At Solirius, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Data Analysts to thrive. With a competitive salary, comprehensive benefits including private healthcare and generous training opportunities, we are dedicated to supporting your professional growth while ensuring a healthy work-life balance. Join us in a vibrant environment where your contributions make a real difference, and enjoy the unique advantage of working alongside a team of technology experts committed to delivering impactful solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨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 慨正橡扯!
✨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 Analyst at 慨正橡扯.
✨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 慨正橡扯.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at 慨正橡扯, 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 Analyst
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 慨正橡扯, 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 慨正橡扯. 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 慨正橡扯
✨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 慨正橡扯!
✨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.
