At a Glance
- Tasks: Lead data analysis to drive impactful insights and decision-making across the organisation.
- Company: Join ENSEK, a cloud-native SaaS company transforming the energy retail sector.
- Benefits: Enjoy 25 days holiday, health insurance, remote work, and team events.
- Other info: Dynamic, remote-first environment with opportunities for professional growth.
- Why this job: Make a real impact in the energy transition while developing your analytical skills.
- Qualifications: Strong data analytics experience, SQL skills, and excellent communication abilities.
The predicted salary is between 56700 - 69300 £ per year.
About ENSEK
ENSEK builds the cloud‑native SaaS 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. ENSEK is at an exciting inflection point as we scale at pace towards new international horizons. If you’re driven by solving complex, real‑world problems and want to build modern technology that accelerates the global energy transition, you’ll feel right at home with us.
About the role
We are seeking an experienced Senior Data Analyst to lead high-quality analytical work across the organisation. You will frame complex analytical problems, deliver robust insights, and influence how teams use data to make decisions. You will take ownership of analytical modelling, dashboard design, and data interpretation within your domain, ensuring outputs are consistent, scalable, and trusted. You will coach others, improve analytical standards, and act as a champion for data driven thinking across the business.
This role is ideal for someone who combines strong technical capability with excellent communication, stakeholder management, and analytical leadership.
Key responsibilities:
- Frame ambiguous business problems into structured analytical questions and define the right approach.
- Lead the design and delivery of high impact analyses, ensuring outputs are statistically sound and decision‑ready.
- Build scalable, reusable analytical datasets and dashboards that support cross team decision‑making.
- Improve analytical modelling practices, ensuring consistency, clarity, and alignment with business logic.
- Provide constructive feedback and coaching to analysts to raise team capability.
- Partner with stakeholders to align analytical work with strategic goals and influence data‑led decision making.
- Identify and resolve complex data discrepancies, ensuring metric definitions remain consistent and trusted.
- Communicate uncertainty, limitations, and trade-offs clearly to senior stakeholders.
- Lead improvements to analytical processes, documentation, and validation practices.
- Ensure compliance with data governance, security, and responsible use standards across analytical work.
Experience required:
- Significant experience in data analytics with a track record of delivering high quality insights and modelling.
- Strong SQL skills and experience building reliable analytical datasets.
- Experience designing dashboards and analytical products that influence decision making.
- Excellent communication skills, able to explain complex concepts clearly to all audiences.
- Strong understanding of statistical methods, uncertainty, and analytical interpretation.
- Ability to challenge assumptions, reframe problems, and guide analytical direction.
- Experience improving analytical processes, standards, or modelling practices within a team.
- Experience in customer service, retail energy, or SaaS environments.
- Python skills for advanced analysis.
- Experience with Databricks or similar analytical platforms.
- Understanding of data engineering concepts and upstream data dependencies.
- Experience designing or reviewing experiments (A/B tests).
Company Benefits
- 25 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, PureGym)
- Pension with 5% matched contribution
- Regular team‑wide and company‑wide events
- 2 volunteering days per year to give back
- Remote‑first working environment with offices in London and Nottingham
Data Analysis Consultant 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 Data Analysis Consultant 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
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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 ENSEK.
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We think you need these skills to ace Data Analysis Consultant 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.
