At a Glance
- Tasks: Analyse data, optimise SQL solutions, and create impactful reports and dashboards.
- Company: Leading UK SaaS company with stunning offices in Bristol city centre.
- Benefits: Competitive salary of up to £40k and a fantastic benefits package.
- Other info: Dynamic work environment with opportunities for career advancement.
- Why this job: Join a growing team and shape the future of innovative SaaS solutions.
- Qualifications: Strong SQL skills and experience in data analysis and problem-solving.
The predicted salary is between 36000 - 44000 £ per year.
- Data Analyst - Technical Services
- Leading UK Business Saas Software Company - Bristol - Up to 40k
- Working full time in office in Bristol City Centre
Stratospherec are recruiting for a Data Analyst to join the Technical Services team of my UK Saa S client withj beautful offices in central Bristol.
This role is working full time Monday to Friday in their offices.
The company make a Saa S platform specialising in workforce screening, deployment, attendance, tracking, and financial management solutions used by national clients across the globe.
As a Data Analyst with a strong database background and knowledge of either Stored Procedures or user-defined functions in SQL, you will investigate complex customer issues, develop and optimise SQL solutions, deliver customer-specific enhancements, build reports and dashboards, and provide technical expertise across the business.
You will also play an important role in maintaining development quality by reviewing database changes, stored procedures and SQL code before deployment, ensuring solutions are robust, performant and maintainable
This role is based in their Bristol offices and pays 40k with a great benefits package.
Essential Experience
- Strong commercial experience working with Microsoft SQL Server.
- Excellent knowledge of T-SQL, stored procedures, views, functions and query optimisation.
- Experience investigating complex software and database issues.
- Experience developing reports and customer data extracts.
- Strong analytical and problem-solving skills.
- Excellent attention to detail.
- Experience reviewing technical work or mentoring colleagues.
- Ability to communicate technical concepts clearly to both technical and non-technical audiences.
- Strong organisational skills with the ability to manage multiple priorities.
Desirable Experience
- Experience supporting Saa S applications.
- Knowledge of SQL Server performance tuning and indexing.
- Experience with Power BI or other reporting platforms.
- Experience with APIs, integrations or ETL processes.
- Familiarity with source control and change management processes.
- Knowledge of workforce management, compliance or operational software.
This is a great time to join a growing team building the next generation of their highly successful Saa S platform.
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Data Analyst - Technical Services in Gloucester employer: Stratospherec Ltd
Join a dynamic and innovative Fintech company in Horsham, where you will be part of a supportive IT helpdesk team dedicated to delivering exceptional service. With a strong focus on employee growth, this role offers ample opportunities for skill development and career progression in a thriving industry. Enjoy a collaborative work culture that values your contributions and fosters a sense of community among colleagues.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Technical Services in Gloucester
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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 Stratospherec Ltd.
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We think you need these skills to ace Data Analyst - Technical Services in Gloucester
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 Stratospherec Ltd, 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 Stratospherec Ltd. 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 Stratospherec Ltd
✨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 Stratospherec Ltd!
✨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.
