Associate Data Analyst

Nest pensions; London; On-site; GBP 75,000 - 125,000; Full time

Job summary

Join a leading company in pensions as an Associate Data Analyst to support their mission of delivering better financial outcomes for members. You'll work with vast datasets to uncover insights and help refine B2B relationships, driving impactful changes. This role combines statistical analysis, data visualization, and collaboration to enhance the employer experience and contribute to a supportive analytical culture.

Qualifications

• Experience with data analysis tools such as R, Python, SQL, and Power BI is necessary.
• Strong analytical and problem-solving skills are required.
• Ability to produce actionable insights from large datasets.

Responsibilities

• Analyze B2B data to inform strategic decisions.
• Produce reports interpreting trends and patterns.
• Collaborate with stakeholders to enhance data-driven processes.

Skills

Statistical Analysis

Data Visualization

Data Storytelling

Analytical Tools

Tools

R

Python

SQL

Power BI

Google Analytics

Job description

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Role Overview
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.

If you're data-led, impact-driven, and keen to improve people’s financial outcomes through evidence and insight, this is an excellent opportunity to grow within a supportive and experienced Analytics team.
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 toaccommodateyourrequestand match your current working arrangements.

Don't worry if you think you don't have all the key skills, it might be worth taking the few minutes to apply as we're good at spotting potential and offer a generous training budget.

Please download a full job description to find a full scope, deliverables, experience and personalattributesrequired for this role.

Reward and recognition
Click hereto see the benefits we offer at Nest.

Flexible and agile working
Everyone's personal situation is different.
To make the most out of hybrid working, we've introduced different ways of working, which include (subject to role requirements):Flexible and agile working | Nest Pensions

For more information about our recruitment processclick here

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.

If you love data and insight, and you’d like to help us on this journey, come and join us.

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
To find out more about our D,E & I: Supporting diversity, equity and inclusion | Nest Pensions

Nest is a Disability Confident Leader, which is the highest level of the Disability Confident Scheme. If you have 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.

Please note that this advert may close early if we receive a sufficient number of satisfactory applications.

If you have any difficulty in sending your application or need the application pack in an alternative format, or you require any reasonable adjustments please contact: [e-mail].

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance

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