At a Glance
- Tasks: Develop and maintain high-quality reporting and analytical solutions using Power BI.
- Company: VIVID offers a vibrant, friendly, and inclusive culture.
- Benefits: 26 days holiday, productivity bonuses, private medical insurance, and a generous pension scheme.
- Other info: Flexible working options and opportunities for professional development.
- Why this job: Make a real impact by providing actionable insights that drive business decisions.
- Qualifications: Experience with Power BI, SQL, and strong communication skills.
The predicted salary is between 37800 - 46200 £ per year.
We’re VIVID! We offer a vibrant, friendly, inclusive culture that supports, develops and attracts the best people! We’re looking for an Analytics Engineer to develop and maintain high-quality reporting, semantic models and analytical solutions that support business decision making across VIVID. Working closely with Data Engineers, stakeholders and decision-makers, you'll ensure our data is accessible, reliable and delivers meaningful business insight.
Contractually based out of our Basingstoke office, this is a full-time permanent role working 37 hours per week and allows for a mix of office and home working. On top of a competitive salary, you will also benefit from:
- 26 days holiday (plus bank holidays), with the opportunity to buy or sell annual leave
- A productivity-related bonus scheme to enhance your take-home
- A generous contributory pension of 6%. We’ll match employee contributions between 7% and 10%
- Life assurance paid at x 3 annual salary
- Private medical insurance
- Health care cash plan called Medicash
- Enhanced pay for maternity, paternity, adoption and shared parental leave
- Access to counselling, legal and financial information
- Electric car scheme
- Huge variety of in-house & e-learning courses and a range of coaching and mentoring programmes
Here’s The Facts About The Role: The Analytics Engineer will primarily focus on Power BI development while working alongside Data Engineers to develop sustainable, analytics-ready data models, support data migration and validation activities, and contribute to improving data quality and consistency. You'll design, build and maintain Power BI semantic models, datasets and reporting solutions that provide reliable, actionable insights to support business decision-making. Working closely with stakeholders across the organisation, you'll gather reporting requirements, translate business needs into analytical solutions, and communicate findings in a clear and meaningful way.
Using SQL extensively, and with opportunities to develop your Python skills, you'll help create reusable data products that enable self-service reporting and analytics. You'll also play a key role in driving continuous improvement by identifying opportunities for automation, enhancing reporting processes, staying up to date with developments in Power BI, Microsoft Fabric and Databricks, and exploring emerging capabilities in AI and advanced analytics. Throughout your work, you'll ensure compliance with relevant legal, regulatory and organisational requirements while helping to build a modern, scalable analytics environment.
To succeed in this role, you'll have proven experience developing Power BI semantic models, reports and dashboards, as well as working closely with business stakeholders to gather requirements and translate them into effective reporting solutions. We are seeking someone who can combine technical expertise with a strong understanding of business needs, ensuring data is accessible, reliable and delivers real value. Strong communication skills, a collaborative approach and a passion for continuous improvement will help you succeed in this role.
Interviews are due to take place WC 7 September (subject to change).
Analytics Engineer in Basingstoke employer: Vivid
VIVID is an exceptional employer that prioritises employee growth and well-being, offering a supportive work culture where collaboration and accountability thrive. As a Neighbourhood Services Team Leader, you'll benefit from a generous benefits package, including a productivity-related bonus, private medical insurance, and access to extensive training programmes, all while making a meaningful impact in the social housing sector. Located in a vibrant community, this role provides the opportunity to lead a dedicated team and enhance customer experiences, ensuring a rewarding career path.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer in Basingstoke
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Analytics Engineer in Basingstoke
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 Vivid, 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 Vivid. 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 Vivid
✨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 Vivid!
✨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.
