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Sundayy

Data Analyst, Associate

England
Posted about 15 hours ago
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About The Company

Nest Pensions is a leading workplace pension scheme in the United Kingdom, renowned for its commitment to providing secure and responsible retirement savings options for millions of UK workers. Established by the government, Nest has grown into the largest pension scheme in the country, backed by a strong governance framework and a focus on sustainable investment practices. The organization prides itself on fostering an inclusive and flexible working environment, promoting diversity, equity, and inclusion across all levels. With a mission to deliver financial peace of mind for its members, Nest continuously innovates and leverages data-driven insights to enhance its services and operational efficiency. Recognized for its responsible investment approach and customer-centric ethos, Nest is dedicated to helping individuals achieve better retirement outcomes through responsible stewardship and cutting-edge technology.

About The Role

We are seeking a detail-oriented Associate Data Analyst to join our Analytics team at Nest Pensions. This role plays a crucial part in exploring and analyzing both member and B2B data, with a primary focus on B2B activity. You will have the opportunity to work with over one million employers and Nest Connectors, examining how they interact with our platform and process more than £5 billion in pension contributions annually for our 14 million members. Your insights will directly influence strategic decision-making, improve employer experiences, and ultimately contribute to better retirement outcomes for our members.

The ideal candidate will produce clear, actionable reports by interpreting complex data trends and patterns from large, multi-source datasets. You will contribute to developing interactive dashboards, compelling data storytelling, and visualizations that communicate key insights to stakeholders. Additionally, you will identify process improvements and user experience enhancements through data analysis and collaborate with cross-functional teams to maximize the value of our data assets. This role offers a unique chance to impact the future of long-term savings while developing your skills in a supportive and innovative environment.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

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Qualifications

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field
  • Proficiency in SQL for data extraction and manipulation
  • Experience with statistical analysis tools such as R or Python
  • Knowledge of data visualization tools like Power BI or Google Analytics
  • Strong analytical and problem-solving skills
  • Excellent communication skills with the ability to present complex insights clearly
  • Experience working with large datasets and multi-source data integration
  • Ability to collaborate effectively with cross-functional teams
  • Interest in financial services, pensions, or related sectors is desirable

Responsibilities

  • Produce detailed analysis and reports to interpret trends, patterns, and insights from large datasets
  • Develop and maintain interactive dashboards and visualizations to communicate data findings effectively
  • Identify opportunities for process improvements and enhanced user experiences based on data insights
  • Collaborate with B2B teams and stakeholders to understand their data needs and support strategic initiatives
  • Contribute to the data and analytics team culture by sharing knowledge and best practices
  • Utilize a range of analytics tools, including R, Python, SQL, Power BI, and Google Analytics, to perform robust statistical analysis
  • Incorporate emerging technologies such as large language models (LLMs) into data analysis and storytelling where appropriate
  • Support the continuous improvement of data quality and management processes

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Benefits

  • Competitive salary package aligned with experience and skills
  • Flexible and agile working arrangements to support work-life balance
  • Generous training and development budget to enhance your skills and career growth
  • Inclusive and diverse working environment that values your authentic self
  • Access to health and wellness programs
  • Opportunities for career progression within a leading organization in the pensions industry

Equal Opportunity

Nest Pensions is committed to fostering an inclusive environment where all employees are valued and respected. We are proud to be a Disability Confident Leader and welcome applications from candidates of all backgrounds, including those with disabilities. We ensure fair recruitment processes and provide reasonable adjustments to support all applicants. Our organization promotes diversity, equity, and inclusion at every level, believing that a diverse workforce drives innovation and better decision-making. We encourage all qualified individuals to apply and join us in shaping the future of retirement savings for millions of people in the UK.

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Location

England, United Kingdom

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