At a Glance
- Tasks: Deliver high-quality analytical insights and develop innovative data solutions for clients.
- Company: Dynamic organisation in the data and analytics industry with a vibrant culture.
- Benefits: Competitive salary, professional development, and opportunities for career progression.
- Other info: Collaborative environment that values analytical thinking and offers varied projects.
- Why this job: Make a real impact by turning complex data into actionable insights for diverse clients.
- Qualifications: Strong SQL skills, experience with Python or R, and excellent communication abilities.
The predicted salary is between 45000 - 55000 £ per year.
Location: Bath – Once or twice a month onsite
Salary: £45,000 - £55,000 plus benefits
Organisation Overview: Our Client is a dynamic organisation operating within the data and analytics industry, renowned for driving innovative solutions and strategic insights to empower clients across various sectors. Known for a vibrant company culture, continuous growth, and a focus on professional development, they are committed to creating an inclusive and collaborative environment. Embracing innovation and fostering talent, their workplace offers excellent benefits and opportunities for career progression.
The Opportunity: We're looking for an Insight Analyst to join a growing Intelligent Data team, delivering high-quality analytical insight for clients across the commercial and not-for-profit sectors. This is a hands-on role combining core insight work with opportunities to apply data science. You'll work on projects ranging from audits, campaign analysis and segmentation through to propensity modelling, lifetime value forecasting and attribution. You'll have the opportunity to work directly with clients, shape analytical approaches, develop new tools and solutions, and turn complex data into clear recommendations that drive action.
What We're Looking For:
- Essential
- Strong SQL skills, including complex joins and performance tuning across large datasets.
- At least two years' experience using Python or R to solve client or business problems.
- Understanding of at least one data science technique relevant to fundraising, such as propensity modelling, lifetime value or segmentation-led forecasting.
- Experience managing the analytical relationship for a small portfolio of client accounts.
- Confidence designing an analytical approach independently, without requiring senior sign-off for every brief.
- The ability to interpret analytical output and communicate recommendations that clients can act on.
- Strong written and verbal communication skills, with confidence presenting findings to clients.
- A structured approach to unfamiliar analytical problems, with the ability to develop and justify an appropriate solution.
- Excellent attention to detail.
- The ability to manage a varied insight and data science workload independently.
What You Can Expect: You'll join a collaborative, data-focused environment where analytical thinking, curiosity and practical problem-solving are valued. The role offers scope to develop your technical expertise while also building your client-facing and commercial skills. You'll work on varied projects, have genuine ownership of your analysis and be encouraged to contribute ideas that improve both client outcomes and the way the team works.
Interested in hearing more? Please get in touch with Rebecca Long on 0117 332 8100 / r.long @TPBN1_UKTJ
Insight Analyst in Taunton employer: IO Associates
Join a leading engineering organisation that values innovation and excellence, offering a dynamic work culture where your contributions directly impact high-performance solutions in safety-critical environments. With a strong focus on employee growth, you will have the opportunity to mentor fellow engineers and shape technical direction while working in an Agile/SAFe environment. Located in the UK, this role provides a unique chance to be part of cutting-edge projects in defence, aerospace, and industrial technology, ensuring a rewarding and meaningful career path.
StudySmarter Expert Advice🤫
We think this is how you could land Insight Analyst in Taunton
✨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 IO Associates!
✨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 Insight Analyst at IO Associates.
✨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 IO Associates.
✨Apply Directly through Our Website
When you find a suitable opening like Insight Analyst at IO Associates, 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 Insight Analyst in Taunton
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 IO Associates, 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 IO Associates. 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 IO Associates
✨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 IO Associates!
✨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.
