At a Glance
- Tasks: Analyse data to improve retirement outcomes and enhance employer experiences.
- Company: Join Nest, the UK's largest workplace pension scheme, committed to financial peace of mind.
- Benefits: Flexible working patterns, generous training budget, and a supportive team culture.
- Other info: Inclusive workplace that values diversity and offers excellent career growth opportunities.
- Why this job: Make a real impact on millions' retirement savings while developing your analytical skills.
- Qualifications: Experience with data analysis tools like R, Python, SQL, and a passion for problem-solving.
The predicted salary is between 36900 - 45100 £ per year.
Help shape the future of long-term saving - and support our mission to deliver financial peace of mind for all our members. Are you curious about using data to solve real problems? Do you want to help millions of people have better retirement outcomes? We’re hiring a detail-focused Associate Data Analyst to join our Analytics team, which explores both member and B2B data. This role will focus primarily on B2B activity. You'll explore how over one million employers and Nest Connectors interact with our platform - and how they process over £5bn in pension contributions annually for our 14 million members. Using data to analyse behaviour and performance, you'll uncover insights, identify friction points, and empower our teams to make evidence-based commercial and strategic decisions. Your work will directly support efforts to improve the employer experience, and in turn, help deliver better outcomes for our members.
What you’ll do:
- Produce clear, actionable analysis and reporting - interpreting trends, patterns, and conducting complex statistical analysis on large, multi-source datasets.
- Contribute to interactive dashboards, slide decks, and data storytelling to communicate employer behaviours and performance.
- Identify opportunities to improve processes and user experience through data insights and product knowledge.
- Collaborate with stakeholders across our B2B teams, helping them make the most of our data.
- Contribute to the data, analytics, and customer insight team culture - sharing knowledge and championing how we can drive value for the business.
How you’ll do it:
You’ll use, build expertise in, and be open to learning a range of analytics tools to produce robust statistical analysis. These include: R, Python, SQL, Power BI, and Google Analytics - alongside incorporating other tools such as large language models (LLMs) into data analysis and narrative building where appropriate.
Working patterns:
We are open to discussing working patterns. We welcome all internal applicants to apply for our roles, regardless of your current working pattern or hours. We will aim to accommodate your request and match your current working arrangements. We’re offering a generous training budget.
Directorate/Department Overview:
Nest is undergoing a transformation to use its data and insight to drive decision making. The Data, Analytics & Customer Insight (DACI) Team is leading how we do it: putting our customers at the heart of our work and helping colleagues to understand and use our data. Our work enables Nest to continually learn, improve how we work, and create value so that we can deliver a better retirement for millions.
The department includes:
- Analytics - taking data and creating value for the organisation, understanding our customer and our business; doing descriptive, predictive, and prescriptive behavioural analysis and modelling to help Nest make decisions.
- Data - planning and delivering how we manage high quality data as an enterprise, making it easy for BI, analysis and modelling to happen and be automated.
- Customer insight - putting our customers at the heart, understanding their needs through empathy, research, surveys, and digital insight.
- Business Intelligence - delivering data visualisations to make Nest's data intuitive to understand.
Organisational Overview:
Nest is an award-winning workplace pension scheme, the largest in the country. Set up by the government to give every worker in the UK somewhere to save, our first-class responsible investment practice and governance are the backbone of what we do, supported by all the functions you’d expect to find in a thriving business. We’re committed to creating a workplace where you can be your authentic self and offer an inclusive and flexible working environment.
Diversity, Equity and Inclusion:
Nest is a Disability Confident Leader, which is the highest level of the Disability Confident Scheme. If you have a disability, declare that you’re applying through the scheme and meet the minimum criteria for this role, we aim to invite you to an interview. However, there may be a few exceptions where we are not able to take all eligible candidates to the next stage due to the volume of applications.
Job Details:
- Seniority level: Not Applicable
- Employment type: Full-time
- Job function: Finance
- Location: London, England, United Kingdom
- Salary: £75,000.00-£125,000.00
Associate Data Analyst employer: Nest
At Early Settler, we pride ourselves on being an exceptional employer that values our team members as our greatest asset. With a fun and supportive work culture, we offer amazing discounts on our stylish products, holistic wellbeing programs, and ample career development opportunities to help you thrive in your role as a Retail Consultant. Join us in creating beautiful homes while enjoying a collaborative environment that celebrates teamwork and personal growth.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Data Analyst
✨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 Nest!
✨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 Associate Data Analyst at Nest.
✨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 Nest.
✨Apply Directly through Our Website
When you find a suitable opening like Associate Data Analyst at Nest, 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 Associate Data Analyst
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 Nest, 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 Nest. 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 Nest
✨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 Nest!
✨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.
