At a Glance
- Tasks: Transform data into insights and support decision-making across teams.
- Company: Join ENSEK, a cloud-native SaaS leader in the energy sector.
- Benefits: Enjoy 25 days holiday, health insurance, and remote work flexibility.
- Other info: Opportunity for career growth and participation in volunteering events.
- Why this job: Make a real impact with data analytics in a dynamic environment.
- Qualifications: Experience in data analytics and proficiency in SQL required.
The predicted salary is between 49500 - 60500 £ per year.
About ENSEKENSEK builds the cloud‑native Saa S software that’s transforming how energy retailers operate, innovate and manage at scale.
We help retailers lower operating costs, improve billing accuracy for consumers, and enhance customer experience through automation and AI‑driven insight, all underpinned by modern, cloud‑native architecture.
About the role We are seeking a capable and proactive Data Analyst to join our Data Function.
You will work closely with cross functional teams to translate business questions into clear analytical problems, deliver reliable insights, and support data‑driven decision‑making across the organisation.
You will independently build analyses, dashboards, and datasets that help teams understand performance, identify opportunities, and make informed decisions.
You will be comfortable working with SQL, analytical tools, and visualisation platforms, and you will take responsibility for ensuring your outputs are accurate, well structured, and aligned to stakeholder needs.
This role is ideal for someone who has strong analytical foundations and is ready to take ownership of end-to-end analytical delivery.
Independently query data using SQL and analytical tools to produce clean, reliable datasets for analysis.
Work closely with stakeholders to understand their objectives and ensure analyses meet their needs.
Follow data governance, security, and compliance standards when handling sensitive information.
Experience in a data analytics role with proven ability to deliver insights and reporting.
Proficiency in SQL for retrieving, joining, and manipulating data.
Experience building dashboards (preferably in Sigma) that support decision making.
Company Benefits25 days’ holiday + bank holidays Option to buy or sell 5 extra annual leave days per year Vitality Health Insurance, including private healthcare, virtual GP access, mental‑health support and wellbeing perks (50% off gym memberships -Virgin Active, Nuffield, Pure Gym)Pension with 5% matched contribution Regular team‑wide and company‑wide events2 volunteering days per year to give back Remote‑first working environment with offices in London and Nottingham
Client Services Analyst - Financial Data in Nottingham employer: ENSEK
At ENSEK, we pride ourselves on being an excellent employer by fostering a remote-first work culture that prioritises employee well-being and professional growth. Our commitment to security best practices is matched by our comprehensive benefits package, including health insurance and pension contributions, ensuring that our team members feel valued and supported in their roles. Join us to be part of a resilient team that encourages ownership and continuous improvement in the ever-evolving field of cybersecurity.
StudySmarter Expert Advice🤫
We think this is how you could land Client Services Analyst - Financial Data in Nottingham
✨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 ENSEK!
✨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 Client Services Analyst - Financial Data at ENSEK.
✨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 ENSEK.
✨Apply Directly through Our Website
When you find a suitable opening like Client Services Analyst - Financial Data at ENSEK, 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 Client Services Analyst - Financial Data in Nottingham
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 ENSEK, 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 ENSEK. 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 ENSEK
✨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 ENSEK!
✨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.
