At a Glance
- Tasks: Create dynamic dashboards and reports to drive strategic decisions.
- Company: Verastar is a leading UK provider of essential services for small businesses.
- Benefits: Enjoy hybrid working, 25 days annual leave, and exclusive retail discounts.
- Other info: No weekends, every bank holiday off, and a vibrant workplace with social events.
- Why this job: Join a culture of innovation and make a real impact with data-driven insights.
- Qualifications: 2-4 years in data insights, strong Power BI and SQL skills required.
The predicted salary is between 30000 - 42000 £ per year.
Are you driven by data and inspired by innovation? In this pivotal role you will harness both established and emerging technologies to deliver powerful reporting and actionable insights that shape strategic decisions across the business. Your work will not only drive performance, it will also elevate our internal data culture, build capability and confidence across teams.
Key Responsibilities
- Lead the creation of dynamic dashboards, visualisations and reports that bring clarity to complexity
- Champion intuitive, self‑serve analytics tools that empower stakeholders to explore and understand their data
- Advise and influence at all levels of the organisation, translating technical insights into meaningful business outcomes
- Thrive in a fast‑paced environment, managing multiple priorities with autonomy and precision
What You’ll Be Doing
- Collaborate across teams to deliver impactful reporting and visualisation solutions, offering insights that guide performance and promote best practices—including intuitive self‑service tools.
- Contribute to the evolution of our cloud and on‑premise reporting architecture, working closely with data engineers, tech teams and subject matter experts to enhance our data assets.
- Help define and refine standards, techniques and tools for reporting and visualisation, supporting consistency and excellence across the data function.
- Champion the adoption of self‑service dashboards and analytics, actively engaging stakeholders to boost data literacy and empower smarter decision‑making.
What Success Looks Like
- Clear, actionable insights and visualisations that support a data‑informed culture across the business.
- Strong, trusted relationships with stakeholders—you are seen as a go‑to expert and advisor.
- Agile, responsive delivery that meets tight deadlines and adapts to evolving needs.
- Robust data governance and security practices that reinforce trust and integrity in our data ecosystem.
Your Experience
- Proven experience in a reporting and insights role, delivering value‑led outcomes and driving adoption of self‑service analytics.
- Hands‑on knowledge of cloud and on‑premise reporting tools, with a track record of contributing to data asset development.
- Expertise in Power BI (essential), plus familiarity with tools such as SSRS, Looker, Tableau or similar.
- Strong SQL skills (essential), with Python experience a plus.
- Experience using data production tools such as SQL Server Management Studio or Databricks.
- Ability to coach and mentor users in adopting new reporting solutions.
- Comfortable working in agile environments and managing stakeholder expectations from discovery to delivery.
Skills that will set you apart
- Pragmatic, delivery‑focused mindset with an 80/20 approach to problem‑solving.
- Excellent communication skills—you can translate complex data into compelling visual stories.
- Agile delivery capabilities within both traditional and modern project frameworks.
- Solid understanding of data warehousing and dimensional modelling.
Qualifications / Requirements
- 2–4 years’ experience in a data insights role with a proven track record of delivering transformational reporting solutions.
- Strong grasp of data integration and engineering principles.
- High proficiency in Power BI and SQL; working knowledge of Python or similar data languages.
- Experience with Microsoft Azure is a plus.
Benefits
- Pension contributions and life assurance coverage to support your future and protect what matters most.
- 25 days of annual leave, increasing to 28 days based on tenure.
- Your birthday off every year – because you deserve to celebrate.
- Flexibility to buy up to 10 extra holidays or sell up to 5 days annually.
- Exclusive discounts at top high‑street and online retailers.
- Cycle‑to‑work scheme and travel loans for people wanting a greener commute.
- 24/7 access to a GP, mental health support, fitness programmes and free legal and financial advice.
- A strong focus on wellbeing, with resources to help you feel your best every day.
Other Perks
- Hybrid working – enjoy the flexibility of working remotely for up to three days a week.
- Engage in charity fundraising and volunteering activities as part of our giving‑back initiative.
- Enjoy fantastic on‑site amenities, including a free gym, free parking, a subsidised café and an on‑site bar for post‑work drinks, quiz nights and social events.
- Full‑time/ permanent contract of 37.5 hours per week.
- No weekends and every bank holiday off.
Next Steps
Ready to turn data into decisions? Apply now and be part of a team that’s shaping the future of insights. All successful candidates will be subject to pre‑employment checks. Please note that this vacancy may close early if we receive a sufficient number of suitable applications; however, we may retain your application on file for future opportunities.
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Reporting and Insight Analyst in Sale employer: Verastar
As a Customer Optimisation Analyst, you will thrive in a dynamic work environment that values data-driven insights and fosters collaboration. Our company offers a supportive culture with ample opportunities for professional growth, alongside generous benefits such as 25 days of holiday, well-being support, and discounts at various retailers. Located in a vibrant area, we encourage innovation and creativity, making it an excellent place for those looking to make a meaningful impact in customer engagement and experience.
StudySmarter Expert Advice🤫
We think this is how you could land Reporting and Insight Analyst in Sale
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We think you need these skills to ace Reporting and Insight Analyst in Sale
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!
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Craft a Tailored Cover Letter:For a full-time role at Verastar, 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 Verastar. 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 Verastar
✨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!
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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 Verastar!
✨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.
